From 2bca34ebc9bbd67c3792b5a005b5d7241a514545 Mon Sep 17 00:00:00 2001 From: aaarendt Date: Wed, 11 Mar 2026 13:38:55 -0700 Subject: [PATCH 01/11] delete outdated content --- docs/gallery/api_intro_example.ipynb | 1474 -------- .../api_plot_pit_density_example.ipynb | 3090 ----------------- .../camera_derived_snow_depths_example.ipynb | 205 -- .../card-images/camera-snow-depths.png | Bin 22999 -> 0 bytes .../card-images/compare-SSA-instruments.png | Bin 78105 -> 0 bytes .../card-images/compare-UAVSAR-depths.png | Bin 7495 -> 0 bytes docs/gallery/card-images/graupel-pits.png | Bin 20805 -> 0 bytes docs/gallery/card-images/graupel-smp.png | Bin 72560 -> 0 bytes docs/gallery/card-images/plot-raster.png | Bin 271034 -> 0 bytes docs/gallery/card-images/plot-swe.png | Bin 36173 -> 0 bytes .../card-images/raster-union-and-more.png | Bin 169620 -> 0 bytes docs/gallery/card-images/spiral.png | Bin 26910 -> 0 bytes .../compare_SSA_instruments_example.ipynb | 187 - .../compare_UAVSAR_to_depths_example.ipynb | 243 -- docs/gallery/get_spiral_example.ipynb | 180 - docs/gallery/getting_started_example.ipynb | 146 - docs/gallery/graupel_pits_example.ipynb | 163 - docs/gallery/graupel_smp_example.ipynb | 267 -- docs/gallery/index.md | 98 - docs/gallery/lambda_example.ipynb | 1103 ------ docs/gallery/overview_example.ipynb | 405 --- docs/gallery/plot_pit_swe_example.ipynb | 182 - docs/gallery/plot_raster_example.ipynb | 190 - .../raster_union_and_more_example.ipynb | 247 -- docs/gallery/what_is_in_the_db_example.ipynb | 241 -- docs/history.rst | 1 - docs/qgis.rst | 91 - 27 files changed, 8513 deletions(-) delete mode 100644 docs/gallery/api_intro_example.ipynb delete mode 100644 docs/gallery/api_plot_pit_density_example.ipynb delete mode 100644 docs/gallery/camera_derived_snow_depths_example.ipynb delete mode 100644 docs/gallery/card-images/camera-snow-depths.png delete mode 100644 docs/gallery/card-images/compare-SSA-instruments.png delete mode 100644 docs/gallery/card-images/compare-UAVSAR-depths.png delete mode 100644 docs/gallery/card-images/graupel-pits.png delete mode 100644 docs/gallery/card-images/graupel-smp.png delete mode 100644 docs/gallery/card-images/plot-raster.png delete mode 100644 docs/gallery/card-images/plot-swe.png delete mode 100644 docs/gallery/card-images/raster-union-and-more.png delete mode 100644 docs/gallery/card-images/spiral.png delete mode 100644 docs/gallery/compare_SSA_instruments_example.ipynb delete mode 100644 docs/gallery/compare_UAVSAR_to_depths_example.ipynb delete mode 100644 docs/gallery/get_spiral_example.ipynb delete mode 100644 docs/gallery/getting_started_example.ipynb delete mode 100644 docs/gallery/graupel_pits_example.ipynb delete mode 100644 docs/gallery/graupel_smp_example.ipynb delete mode 100644 docs/gallery/index.md delete mode 100644 docs/gallery/lambda_example.ipynb delete mode 100644 docs/gallery/overview_example.ipynb delete mode 100644 docs/gallery/plot_pit_swe_example.ipynb delete mode 100644 docs/gallery/plot_raster_example.ipynb delete mode 100644 docs/gallery/raster_union_and_more_example.ipynb delete mode 100644 docs/gallery/what_is_in_the_db_example.ipynb delete mode 100644 docs/history.rst delete mode 100644 docs/qgis.rst diff --git a/docs/gallery/api_intro_example.ipynb b/docs/gallery/api_intro_example.ipynb deleted file mode 100644 index 79cf441..0000000 --- a/docs/gallery/api_intro_example.ipynb +++ /dev/null @@ -1,1474 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Welcome to the API!\n", - "\n", - "**Goal**: Easy programmatic access to the database with **no user SQL**\n", - "\n", - "\n", - "## Notes\n", - "\n", - " * This is not a REST API, more of an SDK\n", - " * Current access is for *point* and *layer* data\n", - " * Funtions return **lists** or **Geopandas Dataframes**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 1. Import the classes, explore them" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# imports\n", - "from datetime import date\n", - "import geopandas as gpd\n", - "from snowexsql.api import PointMeasurements, LayerMeasurements" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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site_namedatetime_createdtime_updatediddoidate_accessedinstrumenttypeunits...northingeastingelevationutm_zonegeomtimesite_idversion_numberequipmentvalue
0Grand Mesa2020-05-282022-06-30 22:58:59.800562+00:00None42443None2022-06-30cameradepthcm...4.321444e+06743766.479497None12POINT (743766.479 4321444.155)18:00:00+00:00NoneNonecamera id = W1B-2.99924
1Grand Mesa2020-05-282022-06-30 22:58:59.800562+00:00None42444None2022-06-30cameradepthcm...4.321444e+06743766.479497None12POINT (743766.479 4321444.155)19:00:00+00:00NoneNonecamera id = W1B1.50148
2Grand Mesa2020-05-282022-06-30 22:58:59.800562+00:00None43187None2022-06-30cameradepthcm...4.331951e+06249164.808618None13POINT (249164.809 4331951.003)18:00:00+00:00NoneNonecamera id = E9B-1.15255
3Grand Mesa2020-05-282022-06-30 22:58:59.800562+00:00None43188None2022-06-30cameradepthcm...4.331951e+06249164.808618None13POINT (249164.809 4331951.003)19:00:00+00:00NoneNonecamera id = E9B1.16381
4Grand Mesa2020-05-282022-06-30 22:58:59.800562+00:00None43189None2022-06-30cameradepthcm...4.331951e+06249164.808618None13POINT (249164.809 4331951.003)20:00:00+00:00NoneNonecamera id = E9B-2.31073
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" - ], - "text/plain": [ - " site_name date time_created time_updated \\\n", - "0 Grand Mesa 2020-05-28 2022-06-30 22:58:59.800562+00:00 None \n", - "1 Grand Mesa 2020-05-28 2022-06-30 22:58:59.800562+00:00 None \n", - "2 Grand Mesa 2020-05-28 2022-06-30 22:58:59.800562+00:00 None \n", - "3 Grand Mesa 2020-05-28 2022-06-30 22:58:59.800562+00:00 None \n", - "4 Grand Mesa 2020-05-28 2022-06-30 22:58:59.800562+00:00 None \n", - "\n", - " id doi date_accessed instrument type units ... northing \\\n", - "0 42443 None 2022-06-30 camera depth cm ... 4.321444e+06 \n", - "1 42444 None 2022-06-30 camera depth cm ... 4.321444e+06 \n", - "2 43187 None 2022-06-30 camera depth cm ... 4.331951e+06 \n", - "3 43188 None 2022-06-30 camera depth cm ... 4.331951e+06 \n", - "4 43189 None 2022-06-30 camera depth cm ... 4.331951e+06 \n", - "\n", - " easting elevation utm_zone geom \\\n", - "0 743766.479497 None 12 POINT (743766.479 4321444.155) \n", - "1 743766.479497 None 12 POINT (743766.479 4321444.155) \n", - "2 249164.808618 None 13 POINT (249164.809 4331951.003) \n", - "3 249164.808618 None 13 POINT (249164.809 4331951.003) \n", - "4 249164.808618 None 13 POINT (249164.809 4331951.003) \n", - "\n", - " time site_id version_number equipment value \n", - "0 18:00:00+00:00 None None camera id = W1B -2.99924 \n", - "1 19:00:00+00:00 None None camera id = W1B 1.50148 \n", - "2 18:00:00+00:00 None None camera id = E9B -1.15255 \n", - "3 19:00:00+00:00 None None camera id = E9B 1.16381 \n", - "4 20:00:00+00:00 None None camera id = E9B -2.31073 \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# The main functions we will use are `from_area` and `from_filter` like this\n", - "df = PointMeasurements.from_filter(\n", - " date=date(2020, 5, 28), instrument='camera'\n", - ")\n", - "df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Notice:\n", - " * We did not need to manage SQL\n", - " * We got a geopandas array\n", - " * We filtered on specific attributes known to be in the database" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### How do I know what to filter by?" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['site_name', 'site_id', 'date', 'instrument', 'observers', 'type', 'utm_zone']\n", - "['site_name', 'site_id', 'date', 'instrument', 'observers', 'type', 'utm_zone', 'pit_id']\n" - ] - } - ], - "source": [ - "# Find what you can filter by\n", - "print(PointMeasurements.ALLOWED_QRY_KWARGS)\n", - "print(LayerMeasurements.ALLOWED_QRY_KWARGS)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### How do I know what values work for filtering?" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[('Catherine Breen, Cassie Lumbrazo',), (None,), ('Ryan Webb',), ('Randall Bonnell',), ('Tate Meehan',)]\n" - ] - } - ], - "source": [ - "print(PointMeasurements().all_observers)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Try it out\n", - "\n", - "* What instrument could you filter by for PointData?\n", - "* What site names could you filter by for LayerData?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notice we instantiate the class \n", - "`PointMeasurements()`\n", - "Before calling the property `.all_observers`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# " - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 63, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Explore the points\n", - "df.crs\n", - "df.to_crs(\"EPSG:4326\").loc[:,[\"id\", \"value\", \"type\", \"geom\", \"instrument\"]].explore()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### What if I have a point or a shapefile\n", - "\n", - "Both the PointMeasurement and LayerMeasurement class have a function called `from_area`\n", - "that takes either a `shapely` polygon or a `shapely` point and a radius as well as the same\n", - "filter kwargs available in `.from_filter`\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Set up a fake shapefile\n", - "gdf = gpd.GeoDataFrame(\n", - " geometry=gpd.points_from_xy(\n", - " [743766.4794971556], [4321444.154620216], crs=\"epsg:26912\"\n", - " ).buffer(2000.0)\n", - ").set_crs(\"epsg:26912\")\n", - "\n", - "# This is the area we will filter to\n", - "gdf.explore()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Get density near the point\n", - "df = LayerMeasurements.from_area(\n", - " type=\"density\",\n", - " shp=gdf.iloc[0].geometry,\n", - ")\n", - "\n", - "df.to_crs(\"EPSG:4326\").loc[:,[\"id\", \"depth\", \"value\", \"type\", \"geom\"]].explore()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### How much filtering is enough? " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "I got a `LargeQueryCheckException`\n", - "\n", - "GIVE ME THE DATA PLEASE" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "tags": [ - "nbsphinx-gallery", - "nbsphinx-thumbnail" - ] - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Failed query for PointData\n" - ] - }, - { - "ename": "LargeQueryCheckException", - "evalue": "Query will return 33364 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records.", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mLargeQueryCheckException\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/jh/tvv3prb117d22jyn0vmbjn880000gn/T/ipykernel_51325/2889856166.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# This query will fail\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m df = PointMeasurements.from_filter(\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0minstrument\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"magnaprobe\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m )\n", - "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36mfrom_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m 186\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 187\u001b[0m \u001b[0mLOG\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Failed query for PointData\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 188\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 190\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36mfrom_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m 181\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 182\u001b[0m \u001b[0mqry\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMODEL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 183\u001b[0;31m \u001b[0mqry\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend_qry\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqry\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 184\u001b[0m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mquery_to_geopandas\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqry\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 185\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36mextend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m 111\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 112\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcheck_size\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_size\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqry\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 114\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mqry\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36m_check_size\u001b[0;34m(cls, qry, kwargs)\u001b[0m\n\u001b[1;32m 69\u001b[0m \u001b[0mcount\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mqry\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 70\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcount\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMAX_RECORD_COUNT\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m\"limit\"\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 71\u001b[0;31m raise LargeQueryCheckException(\n\u001b[0m\u001b[1;32m 72\u001b[0m \u001b[0;34mf\"Query will return {count} number of records,\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 73\u001b[0m \u001b[0;34mf\" but we have a default max of {cls.MAX_RECORD_COUNT}.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mLargeQueryCheckException\u001b[0m: Query will return 33364 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records." - ] - } - ], - "source": [ - "# This query will fail\n", - "df = PointMeasurements.from_filter(\n", - " instrument=\"magnaprobe\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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site_namedatetime_createdtime_updatediddoidate_accessedinstrumenttypeunits...northingeastingelevationutm_zonegeomtimesite_idversion_numberequipmentvalue
0Grand Mesa2020-01-292022-06-30 22:56:52.635035+00:00None8713https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcm...4.322865e+06741881.1024663037.812POINT (741881.102 4322865.037)14:56:00+00:00None1CRREL_C85.0
1Grand Mesa2020-01-292022-06-30 22:56:52.635035+00:00None8714https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcm...4.322859e+06741878.6753803038.012POINT (741878.675 4322859.408)14:57:00+00:00None1CRREL_C72.0
2Grand Mesa2020-01-292022-06-30 22:56:52.635035+00:00None8715https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcm...4.322855e+06741877.0800583037.112POINT (741877.080 4322854.914)14:57:00+00:00None1CRREL_C84.0
3Grand Mesa2020-01-292022-06-30 22:56:52.635035+00:00None8716https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcm...4.322850e+06741875.4847333035.512POINT (741875.485 4322850.421)14:57:00+00:00None1CRREL_C84.0
4Grand Mesa2020-01-292022-06-30 22:56:52.635035+00:00None8717https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcm...4.322845e+06741873.9235123034.612POINT (741873.924 4322844.818)14:57:00+00:00None1CRREL_C78.0
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" - ], - "text/plain": [ - " site_name date time_created time_updated id \\\n", - "0 Grand Mesa 2020-01-29 2022-06-30 22:56:52.635035+00:00 None 8713 \n", - "1 Grand Mesa 2020-01-29 2022-06-30 22:56:52.635035+00:00 None 8714 \n", - "2 Grand Mesa 2020-01-29 2022-06-30 22:56:52.635035+00:00 None 8715 \n", - "3 Grand Mesa 2020-01-29 2022-06-30 22:56:52.635035+00:00 None 8716 \n", - "4 Grand Mesa 2020-01-29 2022-06-30 22:56:52.635035+00:00 None 8717 \n", - "\n", - " doi date_accessed instrument type \\\n", - "0 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", - "1 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", - "2 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", - "3 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", - "4 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", - "\n", - " units ... northing easting elevation utm_zone \\\n", - "0 cm ... 4.322865e+06 741881.102466 3037.8 12 \n", - "1 cm ... 4.322859e+06 741878.675380 3038.0 12 \n", - "2 cm ... 4.322855e+06 741877.080058 3037.1 12 \n", - "3 cm ... 4.322850e+06 741875.484733 3035.5 12 \n", - "4 cm ... 4.322845e+06 741873.923512 3034.6 12 \n", - "\n", - " geom time site_id version_number \\\n", - "0 POINT (741881.102 4322865.037) 14:56:00+00:00 None 1 \n", - "1 POINT (741878.675 4322859.408) 14:57:00+00:00 None 1 \n", - "2 POINT (741877.080 4322854.914) 14:57:00+00:00 None 1 \n", - "3 POINT (741875.485 4322850.421) 14:57:00+00:00 None 1 \n", - "4 POINT (741873.924 4322844.818) 14:57:00+00:00 None 1 \n", - "\n", - " equipment value \n", - "0 CRREL_C 85.0 \n", - "1 CRREL_C 72.0 \n", - "2 CRREL_C 84.0 \n", - "3 CRREL_C 84.0 \n", - "4 CRREL_C 78.0 \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Th queries will pass\n", - "df = PointMeasurements.from_filter(\n", - " instrument=\"magnaprobe\",\n", - " limit=100\n", - ")\n", - "\n", - "df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### DANGER ZONE\n", - "If you need more than 1000 points returned, you can specify so with the `limit`\n", - "\n", - "The intention is to be aware of how much data will be returned" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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site_namedatetime_createdtime_updatediddoidate_accessedinstrumenttypeunits...northingeastingelevationutm_zonegeomtimesite_idversion_numberequipmentvalue
0Grand Mesa2020-01-282022-06-30 22:56:52.635035+00:00None4663https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcm...4.323938e+06747760.1274173143.912POINT (747760.127 4323937.874)20:22:00+00:00None1CRREL_B64.0
1Grand Mesa2020-01-282022-06-30 22:56:52.635035+00:00None4102https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcm...4.324060e+06747975.5332293151.812POINT (747975.533 4324060.214)18:48:00+00:00None1CRREL_B106.0
2Grand Mesa2020-01-282022-06-30 22:56:52.635035+00:00None4103https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcm...4.324058e+06747973.0058693153.812POINT (747973.006 4324057.912)18:48:00+00:00None1CRREL_B110.0
3Grand Mesa2020-01-282022-06-30 22:56:52.635035+00:00None4104https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcm...4.324057e+06747973.0408483153.512POINT (747973.041 4324056.802)18:48:00+00:00None1CRREL_B106.0
4Grand Mesa2020-01-282022-06-30 22:56:52.635035+00:00None4105https://doi.org/10.5067/9IA978JIACAR2022-06-30magnaprobedepthcm...4.324055e+06747972.2450323154.012POINT (747972.245 4324054.555)18:48:00+00:00None1CRREL_B107.0
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5 rows × 23 columns

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" - ], - "text/plain": [ - " site_name date time_created time_updated id \\\n", - "0 Grand Mesa 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 4663 \n", - "1 Grand Mesa 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 4102 \n", - "2 Grand Mesa 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 4103 \n", - "3 Grand Mesa 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 4104 \n", - "4 Grand Mesa 2020-01-28 2022-06-30 22:56:52.635035+00:00 None 4105 \n", - "\n", - " doi date_accessed instrument type \\\n", - "0 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", - "1 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", - "2 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", - "3 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", - "4 https://doi.org/10.5067/9IA978JIACAR 2022-06-30 magnaprobe depth \n", - "\n", - " units ... northing easting elevation utm_zone \\\n", - "0 cm ... 4.323938e+06 747760.127417 3143.9 12 \n", - "1 cm ... 4.324060e+06 747975.533229 3151.8 12 \n", - "2 cm ... 4.324058e+06 747973.005869 3153.8 12 \n", - "3 cm ... 4.324057e+06 747973.040848 3153.5 12 \n", - "4 cm ... 4.324055e+06 747972.245032 3154.0 12 \n", - "\n", - " geom time site_id version_number \\\n", - "0 POINT (747760.127 4323937.874) 20:22:00+00:00 None 1 \n", - "1 POINT (747975.533 4324060.214) 18:48:00+00:00 None 1 \n", - "2 POINT (747973.006 4324057.912) 18:48:00+00:00 None 1 \n", - "3 POINT (747973.041 4324056.802) 18:48:00+00:00 None 1 \n", - "4 POINT (747972.245 4324054.555) 18:48:00+00:00 None 1 \n", - "\n", - " equipment value \n", - "0 CRREL_B 64.0 \n", - "1 CRREL_B 106.0 \n", - "2 CRREL_B 110.0 \n", - "3 CRREL_B 106.0 \n", - "4 CRREL_B 107.0 \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# DANGER ZONE\n", - "# If you need more than 1000 points returned, you can specify so with the limit\n", - "df = PointMeasurements.from_filter(\n", - " date=date(2020, 1, 28),\n", - " instrument=\"magnaprobe\",\n", - " limit=3000\n", - ")\n", - "df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# THE END\n", - "\n", - "### Go forth and explore" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/api_plot_pit_density_example.ipynb b/docs/gallery/api_plot_pit_density_example.ipynb deleted file mode 100644 index d7d7fc5..0000000 --- a/docs/gallery/api_plot_pit_density_example.ipynb +++ /dev/null @@ -1,3090 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Welcome to the API PT2!\n", - "\n", - "## Data Edition\n", - "\n", - "#### Goal - Filter down to the pit density we want and plot it" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 1. Imports" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "🔍 Testing Lambda connection...\n", - "✅ Connected: True\n", - "📊 Database: PostgreSQL 16.10 on x86_64-conda-linux-gnu, compiled by x86_64-conda-linux-gnu-cc (conda-forge gcc 14.3.0-4) 14.3.0, 64-bit\n" - ] - } - ], - "source": [ - "from snowexsql.lambda_client import SnowExLambdaClient\n", - "\n", - "# Initialize client\n", - "client = SnowExLambdaClient()\n", - "\n", - "# Get all measurement classes dynamically\n", - "classes = client.get_measurement_classes()\n", - "PointMeasurements = classes['PointMeasurements']\n", - "LayerMeasurements = classes['LayerMeasurements']\n", - "RasterMeasurements = classes['RasterMeasurements']\n", - "\n", - "\n", - "print(\"🔍 Testing Lambda connection...\")\n", - "connection_test = client.test_connection()\n", - "print(f\"✅ Connected: {connection_test.get('connected', False)}\")\n", - "if connection_test.get('connected'):\n", - " print(f\"📊 Database: {connection_test.get('version', 'Unknown version')}\")\n", - "else:\n", - " print(\"❌ Connection failed\")\n", - "\n", - "# imports\n", - "from datetime import date\n", - "import geopandas as gpd\n", - "import matplotlib.pyplot as plt\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['Density Cutter',\n", - " 'Manual',\n", - " 'A2 Sensor',\n", - " 'Thermometer',\n", - " 'SnowMicroPen',\n", - " 'SnowMicroPen',\n", - " 'IS3-SP-11-01F',\n", - " 'IRIS',\n", - " 'IS3-SP-15-01US',\n", - " 'Digital Thermometer']" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "LayerMeasurements.all_instruments" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2. Find the pits in the Boise River Basin" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['5S43-M0708', 'EA229', '1S8-M0932', 'CAMLPD_20191218_1128', 'COERGT_20200219_1500', '2S3-M0844', '5N15-M1193', '1S17-M1293', 'COERIB_20200312_0938', 'COGM9C28_20200131', '9N29-M0881', '6N17-M1341', '8N38-M0849', 'COFEB1_20210421_0805', 'CONWOF_20200122_1140', '2S48-M0683', 'COGM8N34_20200130', '3N22-M0766', 'EB237', '2N4-M0610', 'COER12_20200226_1226', 'COGMSO_20200328_0900', 'COER14_20200201_1300', '3S47-M0743', 'EA410', 'IDBRLO_20200212_1519', 'COER14_20200512_1300', 'COFEB2_20210421_0905', '3S33-M1052', 'EA092', '2N4-M0620', 'COGM2C3_20200131', 'MTCASX_20210217_1147', '2S7-M1240', '2S11-M0948', 'COGM5S43_20200129', 'UTLCAC_20200227_1000', '6N17-M1349', 'IDBRBU_20200226_1445', 'COER13_20200226_1115', 'WN485', '1S1-M0817', '6N18-M0710', '2N12-M0903', '2S7-M1251', '5N15-M1191', '2S11-M0956', '5S29-M1093', 'COFEB1_20200304_1530', 'COER13_20200428_1230', 'COGM5S49_20200204', 'COCPJW_20191218_1125', '7C15-M0824', '5S43-M0716', '6N18-M0708', 'CAMLPD_20200212_1029', '5S29-M1092', 'COFEB2_20210428_0926', 'COGM2N13_20200206', 'IDBRLT_20210316_1235', 'NMJRHQ_20200205_1100', 'COGM2C4_20200131', '2N12-M0870', '3S14-M0983', '3S33-M1063', '2S3-M0831', '2N12-M0867', '8C11-M1162', '2N12-M0900', '5N10-M1368', '2S48-M0681', '1S2-M1217', '2S16-M1264', '1S8-M0925', '3N22-M0764', 'COERO2_20200201_0950', '9S51-M0774', 'TLS-FL3A-M1320', '5S21-M1013', 'COFESL04_20210122_0745', '2N4-M0606', '5N10-M0678', 'TLS-FL3A-M1315', 'A790', '9N29-M0876', 'COFEB1_20210428_0846', '5N15-M1207', '2S7-M1243', 'WB472', '5N15-M1188', 'COFEFC01_20210303_0938', '3S47-M0740', '3S33-M1065', 'COGM9N29_20200130', '3S33-M1061', 'COGMTraining_20200127', '2S48-M0695', '5N19-M0735', 'CONWFN_20200311_1100', 'IDBRBT_20210225_1225', '2S11-M0951', '3S14-M0994', '9S51-M0770', '6S34-M1045', '1S8-M0919', 'COSBSA_20210127_1210', '7C15-M0821', 'CASHFO_20200129_1053', 'COFEB1_20210217_1109', '2N12-M0911', '3N22-M0746', 'COERIB_20200129_1145', '3S33-M1074', '8C18-M1100', '8N38-M0847', 'COCPCP_20210406_0855', '8C18-M1108', 'IDBRBO_20200305_1245', 'WA282', 'COFEJ1_20200318_1440', '5S21-M1007', 'COERO6_20200427_1345', '1S2-M1214', '2N12-M0905', 'COCPJW_20200124_1135', '2S11-M0960', 'COGM5N19_20200128', 'COGM2N14_20200211', 'WB498', 'DB254', 'COCPCP_20210423_1048', 'COFESL16_20210224_1329', 'COFEJ1_20191219_1100', 'COFEFC15_20210317_1109', '3N22-M0763', '1S1-M0800', 'D672', 'COERO4_20200513_0845', '3S33-M1071', 'COERAP_20200512_1430', '1S1-M0819', '2S16-M1283', '6S34-M1048', 'COERO2_20200201_1220', '6S34-M1027', '1N3-M1446', 'CONWFF_20200122_1020', 'COFEJ2_20200318_1400', '2S16-M1272', 'COFEJ1_20200205_1044', '2S16-M1262', 'N524', '2S16-M1268', '1N3-M1442', '8N38-M0857', '1S8-M0912', '7C15-M0829', 'EA221', 'COERUP_20200429_1030', 'COGM5N15_20200206', 'COGM8C36_20200205', '5N11-M1404', '8N38-M0855', '5N10-M1373', '2C12-M1479', '6S34-M1032', 'COERGT_20200117_1015', 'COFEJ2_20191029_1254', 'COGM6S34_20200204', 'COERTR_20200202_1034', '5N10-M0674', '2N13-M1186', 'COGMCT_20200131_1016', '8N38-M0860', 'TLS-FL3A-M1312', '9C17-M0787', 'IDBRLT_20210302_1345', 'A759', 'EA219', 'COGM8N9_20200205', 'CAMLCP_20200311_0908', 'WB242', 'COFEB1_20200131_1230', '2N12-M0882', 'EB257', 'COGMST_20200328_0715', '2N13-M1173', '2S11-M0972', 'COFESL01_20210127_1511', '1N6-M0643', 'WN475', 'I775', 'COFEFC02_20210303_1222', 'WA081', 'COFESL09_20210122_1008', '9C16-M1130', '5N10-M1358', '5S21-M1006', 'IDBRBT_20210318_1500', 'COFEFC04_20210303_1529', '9C16-M1142', '1S2-M1220', '3N22-M0753', '5C21-M0862', 'COERIB_20200422_1130', 'COSBSB_20200219_1240', '6N18-M0701', '8N38-M0837', 'COFEB1_20210303_0933', '5N15-M1212', '9N29-M0885', '2S3-M0834', 'CASHFO_20200226_1000', 'COCPMR_20200124_1115', 'COFEB2_20210303_1115', 'COGM2C6_20200131', 'COCPCP_20210202_1311', 'TLS-FL2A-M1415', 'GML-M1022', '6S34-M1049', 'COCPMR_20210202_0937', 'CONWFF_20200212_1110', 'COFEJ2_20200210_1345', 'COERO6_20200201_1500', 'IDBRLO_20200226_0928', 'CASHT4_20200219_1230', 'COGMWO_20200409_1218', '6S34-M1025', 'IDBRBS_20210210_1136', 'COERO6_20200201_1400', 'EB280', '5N19-M0720', 'COGMCT_20200226_0855', '3S14-M0976', 'COGM4N27_20200130', 'COERUP_20200202_1030', '3S33-M1060', '8C18-M1123', 'CONWC1_20200212_0910', '1N3-M1436', '2N4-M0611', '3S14-M0984', 'EB035', '7C15-M0831', '9N29-M0892', '2N13-M1174', 'UTLCAC_20200220_1400', 'COGM6S19_20200129', 'COSBSA_20210317_1241', 'COGM8N52_20200204', '1S8-M0923', '2S16-M1279', 'CONWFF_20200122_1025', 'DN346', 'COFEB2_20200226_1440', '6N17-M1328', '2N4-M0621', 'COFEB2_20210224_1033', '5C21-M0854', 'A523', '5S43-M0720', '5S29-M1081', '6N18-M0715', 'COFEJ1_20200210_1300', '5S43-M0722', 'TLS-FL2A-M1416', '2N4-M0607', 'COGM6C37_20200129', 'A665', 'MTCASX_20210120_1100', '2C12-M1482', 'COFEFC13_20210303_1055', '2S16-M1277', '1S2-M1230', '9S51-M0769', '1S1-M0804', '5N10-M0670', 'IDBRBL_20210202_1530', 'A763', '8N25-M0791', '2S48-M0687', '5N11-M1383', '9N29-M0878', 'COGMCO_20200325_1015', 'COGMST_20200219_1500', 'A548', 'DB093', 'COFEB1_20210203_0936', '2S3-M0829', 'COFEB1_20200212_1030', 'IDBRLO_20210115_1335', '7C15-M0825', '2N4-M0624', 'COGM2N4_20200128', '6S34-M1041', 'COFESL16_20210210_1152', 'COER13_20200512_1130', '8C18-M1124', '2S11-M0950', '2N12-M0873', 'COGM8N37_20200204', 'IDBRLO_20201125_1215', '2N12-M0877', '6N17-M1343', 'DN086', 'COGMCO_20200122_1015', 'COFESL17_20210224_1546', 'COFEB2_20200205_1419', '6N18-M0712', 'COCPCP_20210120_1410', 'CONWFS_20200122_1406', '5S29-M1077', '1N3-M1433', '5N10-M1366', 'COGM9S39_20200201', 'COGM6S26_20200212', '5N11-M1385', '5C21-M0856', '1N6-M0646', '2S48-M0685', '3N22-M0756', '8N38-M0858', 'COGM7S23_20200206', 'COGM1C5_20200212', 'COGM2S11_20200201', '1S1-M0801', '1S8-M0906', 'WB493', 'COFESL09_20210127_1231', 'COERO4_20200201_1115', '5N10-M0665', 'A654', 'N659', '2S16-M1281', 'DB343', 'TLS-FL2A-M1421', 'COFEJ2_20210428_1241', 'COER12_20200226_1241', '6S34-M1042', '9S51-M0777', '2N12-M0909', 'TLS-FL3A-M1325', '2S48-M0689', 'IDBRBU_20200124_1315', '2N13-M1187', 'COGM6N46_20200201', 'WB488', 'N762', 'COERGT_20200311_1025', 'CONWFN_20200513_1024', 'EB252', '8C18-M1126', '5C21-M0858', '2S11-M0963', 'COGM9N39_20200210', '5S21-M1002', '1S8-M0915', '3N22-M0765', 'COGM8C32_20200209', 'EA207', 'IDBRBT_20210217_1222', '5N11-M1388', '6N17-M1326', 'COGM1N7_20200211', 'CB068', 'TLS-FL3A-M1305', '1N6-M0650', 'COERO6_20200427_1430', '8N25-M0776', 'DA087', '5N10-M0677', 'COSBSA_20200219_1446', 'NMJRBA_20200226_1139', 'COGMWO_20200409_0550', 'COGM5N50_20200201', '2N12-M0892', '5N10-M0672', 'COFEJ2_20200304_1320', 'CONWOF_20200212_1310', '9C16-M1132', 'IDBRBL_20210127_1330', 'CASHOP_20200129_1057', '5N19-M0744', '7C15-M0812', '2N4-M0618', 'I679', '6S34-M1035', 'CASHT4_20200311_1045', '2S48-M0688', 'COGM5S42_20200204', '2N12-M0861', '2N13-M1177', '5N11-M1381', '3S14-M0987', '2S16-M1271', '1S1-M0813', 'COFEJ1_20210310_0954', '5S21-M1008', 'COGM1C1_20200131', 'COGMST_20200421_1507', '3N22-M0762', 'COERGT_20200212_1400', 'COFEJ1_20191216_1130', '2S3-M0826', 'UTLCAW_20210120_1330', 'COFEJ1_20200104_1110', 'IDBRBS_20201208_1149', 'UTLCAW_20200220_1350', '2S16-M1275', 'COFESL04_20210217_1030', 'COGM3S47_20200129', 'COGM1S8_20200201', '7C15-M0827', '2N12-M0879', '3S47-M0746', 'COSBSB_20200304_1215', 'IDBRBS_20200130_1200', '9C17-M0796', '1S8-M0907', '2S3-M0839', 'IDBRLT_20200212_1400', 'COFEJ1_20191223_1120', '6N17-M1339', '5S29-M1089', '1S8-M0921', 'COFESL06_20210210_1057', 'COGM1C14_20200131', 'COFEJ1_20210317_1340', '8N25-M0785', 'CAAMCL_20191220_1300', 'IDBRBL_20210114_1300', '6N17-M1336', 'IDBRBL_20210107_1245', '1N6-M0647', 'COGM2C12_20200212', 'CONWFS_20200122_1400', 'COGM8C25_20200130', 'COFEJ2_20200108_1208', '2S11-M0954', '1N6-M0641', '3N22-M0769', 'CONWFF_20200513_0930', 'COGMST_20200421_0726', '2S7-M1244', '1S8-M0914', '1S8-M0913', '5S43-M0705', 'COGM8C35_20200205', 'COGM8N33_20200206', 'IDBRBT_20201216_1415', 'CONWFN_20200122_1231', 'DB327', 'IDBRBO_20200123_1430', 'COCPMR_20200219_1314', 'COGM8N55_20200128', 'IDBRBS_20200213_1130', 'COERIB_20200122_1200', 'COGM5N41_20200130', 'COGM9C23_20200209', 'CONWFS_20200122_1405', '2N12-M0908', '2S48-M0703', 'IDBRBU_20200207_1230', '2S16-M1276', 'COFEJ1_20210115_1120', '8N25-M0772', 'CASHFO_20200311_0823', '5N15-M1203', '5C21-M0853', 'COFEJ1_20210203_1137', '5N15-M1196', '3S47-M0733', 'TLS-FL2A-M1425', 'COGM1N23_20200211', 'COFEJ1_20191029_1210', '2N12-M0875', '2S3-M0827', '5S43-M0721', 'D698', 'WB283', 'COSBSA_20200311_1125', '2S7-M1254', 'COERUP_20200429_1130', '1S8-M0926', '6N17-M1337', '2N51-M1474', 'CONWFS_20200311_0931', '1S17-M1284', '8C18-M1103', '9N29-M0891', 'WB032', '7C15-M0818', 'N546', 'COFEJ1_20191210_1158', 'COGM5C27_20200209', 'IDBRLT_20210216_1420', '5S21-M1018', '5S43-M0704', 'IDBRLT_20200122_1324', '8C18-M1098', 'COGMST_20200503_0653', 'IDBRBS_20191218_1000', 'COGMCO_20200219_0930', 'COFESL03_20210127_1348', 'COGM1C1_20200208', 'COER14_20200512_1230', '2N12-M0874', 'WA489', '9C17-M0785', '1N3-M1443', '1N6-M0626', '2C12-M1486', 'SA326', 'IDBRBS_20200206_1200', 'CASHOP_20200212_0938', 'COERAP_20200201_1524', 'CONWFS_20200513_0945', '2S3-M0823', '8C18-M1113', '5N10-M1364', '6S34-M1040', 'COERUP_20200202_1215', 'IDBRBO_20191218_1424', 'A738', 'COGMST_20200328_1430', 'I549', 'COGM3S14_20200201', 'COERUP_20200512_0930', 'SB377', '3S14-M0995', 'COFEJ1_20200212_1342', '9C16-M1129', 'EN096', '2N12-M0898', 'IDBRLO_20210209_1130', 'WB241', 'COER14_20200226_1007', 'COFEJ2_20200205_1200', '8C18-M1105', '1S1-M0802', 'COFESL10_20210127_1113', '8N25-M0780', 'COGMCT_20200304_1252', 'IDBRMM_20210203_1210', '1S1-M0799', 'CONWOF_20200422_1155', 'IDBRBL_20210122_1200', '3S33-M1066', 'COFESL06_20210217_1155', 'TLS-FL2A-M1408', 'COCPMR_20210527_1145', '1N6-M0631', 'DA085', 'COFEFC13_20210317_0945', '2S11-M0968', '1S17-M1291', '1N3-M1453', '2S48-M0693', 'IDBRBU_20200108_1155', '5S29-M1087', 'COERIB_20191219_1110', '3S47-M0751', '1S17-M1289', 'COGM9N42_20200204', '5S21-M0999', '2S11-M0947', '9C17-M0798', 'COER14_20200226_1040', '2S3-M0836', 'COER14_20200226_1024', '2S7-M1255', '1N6-M0642', 'NMJRHQ_20200129_1026', 'COGM1S1_20200129', '5N10-M0660', '3N22-M0749', '2S16-M1280', '7C15-M0820', 'COGMST_20200422_1618', '8N25-M0790', 'CONWSA_20200212_1045', 'COGM8C22_20200131', 'COGM6N31_20200130', 'COCPMR_20210113_0945', 'DN341', '9C17-M0793', 'CONWFF_20200311_0900', 'UTLCAW_20210224_1215', '1S1-M0812', '6S34-M1026', 'COGM5C20_20200130', '5C21-M0857', 'TLS-FL2A-M1418', '5S29-M1078', 'WB025', 'N501', '8C18-M1107', '2S11-M0952', 'COGM5N10_20200210', '5S29-M1083', '5N11-M1400', 'WA474', 'IDBRBO_20200109_1411', 'IDBRBU_20200220_1100', 'COGMCO_20191219_1220', 'IDBRBL_20210309_1500', 'NMJRHQ_20200226_1157', '1S2-M1216', 'CONWSA_20200205_1145', 'WA082', 'A765', 'COGM2N8_20200208', 'N787', '2N13-M1185', 'TLS-FL2A-M1422', '8C18-M1114', 'CASHT4_20200304_1058', 'COGM2S7_20200208', 'CAAMCL_20200306_1145', '1S8-M0939', 'WA494', '1S2-M1221', 'IDBRBS_20201218_1100', 'IDBRLT_20210121_1124', '6N17-M1327', 'WN103', 'CAMLCP_20200212_1015', 'CONWFN_20200122_1230', 'COGM1S13_20200205', 'COFEJ1_20200311_0915', '6N18-M0707', 'COERGT_20200129_0940', 'COGMCT_20200318_1005', '1N6-M0655', 'CONWFS_20200212_1108', '8N38-M0844', '2S7-M1242', 'UTLCAC_20200124_1222', '5N19-M0730', 'COERO2_20200226_1018', '9C17-M0797', '2S7-M1250', '2N14-M1455', 'COGM2N48_20200201', '2N12-M0906', '5S21-M1014', 'COFEB1_20200226_1350', 'COERGT_20191218_1316', '1N3-M1450', 'WN483', 'COERO6_20200201_1430', 'NMJRHQ_20200304_1105', 'COGMSO_20200421_0553', '1S8-M0930', 'IDBRBS_20200227_1030', '7C15-M0826', '2S3-M0840', '1N3-M1454', 'COFEB1_20200205_1300', '5N11-M1386', '3S47-M0742', '6N18-M0694', '2N13-M1180', 'COGMSO_20200421_1626', '5N15-M1194', 'EN255', '3S47-M0731', '5C21-M0874', 'CONWFF_20200212_1145', '1N6-M0652', '8N38-M0838', 'COFEJ2_20200119_1140', '3N22-M0771', 'COER12_20200512_1045', 'COCPCP_20210309_1230', 'COFEB2_20191219_1510', '2N14-M1464', 'COGMWO_20200316_0841', '2S7-M1246', '6S34-M1024', '8C18-M1099', 'COSBSA_20191218_0915', 'COGM2S35_20200130', 'IDBRBL_20210324_1130', 'N656', 'NMJRBA_20200205_1114', 'COGMSO_20200131_1225', '1N6-M0645', '5N19-M0724', 'COGMSO_20200321_1006', '1S2-M1235', 'COER13_20200512_1115', '6N17-M1342', '9C17-M0808', '9C17-M0807', 'EA039', 'COFEB2_20200131_1304', 'UTLCAC_20210115_1300', '2N12-M0894', 'COGM2C2_20200131', '1S17-M1296', '3S47-M0734', 'COFESL09_20210224_1351', 'UTLCAW_20210310_0930', 'EA225', 'WA079', '5C21-M0863', '6N18-M0698', 'TLS-FL3A-M1319', '3S38-M1095', 'COCPMR_20210224_0940', '9C16-M1152', '7C15-M0833', 'IDBRBS_20200312_1000', 'COER13_20200226_1130', '5N19-M0719', 'I684', '9C16-M1144', '5N10-M1356', '3S47-M0755', 'COCPMR_20210303_0940', 'COERAP_20200201_1610', 'COGMWO_20200331_1530', '8N25-M0797', '9S51-M0767', '8C18-M1125', 'N612', '2N12-M0868', 'IDBRLO_20210121_1000', '6N18-M0711', 'COCPCP_20210127_1400', 'COGMCO_20200212_0852', '1S1-M0808', 'CN063', 'CONWC1_20200226_0820', '1S8-M0916', '2N4-M0612', 'IDBRLT_20200311_1117', 'COGMWO_20200331_0934', '8N25-M0774', '1N23-M1478', '2S11-M0969', 'DA406', 'DB468', '8C18-M1106', 'SB029', 'DN013', '5N10-M1357', '2S3-M0824', '5N19-M0722', 'IDBRMC_20200212_1100', 'CAMLPD_20200129_1030', 'N613', 'COFEB1_20191219_1404', '2S7-M1241', 'IDBRLO_20210216_1230', '9C17-M0790', 'IDBRBT_20201209_1345', 'CAMLCP_20200129_0950', '2S3-M0845', 'GML-M1020', '9C16-M1131', '5N19-M0729', '8N25-M0794', '2S11-M0970', '1S1-M0810', 'TLS-FL2A-M1428', 'COGM8N38_20200130', '2N12-M0876', '6N17-M1338', '1S8-M0920', '9C17-M0786', '1S8-M0936', 'COER14_20200201_1350', 'COFEJ1_20210303_1410', 'TLS-FL3A-M1310', '6S34-M1047', 'I668', 'EN097', 'COFEB1_20210210_0915', '3S14-M0977', '5S43-M0711', 'COGM2S45_20200210', '1N6-M0632', 'A652', '9C17-M0805', '5N19-M0721', '1S8-M0922', '6N18-M0689', 'COERIB_20200219_1130', 'COERUP_20200512_0900', 'COER14_20200428_1015', 'COGMST_20200401_0900', '9C16-M1145', 'N742', '1N6-M0630', 'COCPCP_20210322_1335', '3S33-M1075', 'COCPMR_20210120_0942', '5N19-M0732', 'UTLCAC_20200305_1100', '7C15-M0822', 'MTCAWH_20210224_1115', 'COSBSA_20200122_1235', 'COFEJ2_20210224_1504', '2S16-M1267', 'COGMCO_20200304_0921', '5N10-M0675', '9S51-M0772', '5S29-M1094', 'DA464', 'COCPMR_20210218_1020', 'IDBRLT_20210309_1205', '2S16-M1261', 'COCPMR_20210520_1205', 'MTCASX_20210305_1052', 'EN038', 'NMJRBA_20200220_1234', '2N12-M0864', 'CASHFO_20200212_0919', '2S3-M0841', '8C11-M1157', 'COGM2S20_20200206', '9N29-M0887', 'COGM8S41_20200210', '1N3-M1448', 'CONWFS_20200513_0930', '2C12-M1488', 'COGMSO_20200306_1610', '3S33-M1056', 'WA034', 'COFESL14_20210210_1452', '7C15-M0811', 'COCPJW_20200212_1108', '1N23-M1477', '2N12-M0910', '3S14-M0975', 'COGM3S5_20200129', '6S34-M1029', '9S51-M0766', 'CONWOF_20200513_1115', '2S3-M0835', '5S21-M1015', 'DA470', '8C18-M1111', 'COERIB_20200117_1030', 'COER14_20200428_1045', 'COGMSO_20200406_1600', '5S43-M0717', '9C16-M1147', '8C18-M1110', '6N18-M0702', 'WN104', '5S21-M1000', '6N17-M1345', 'IDBRLT_20210209_1300', '5N10-M0659', 'EB100', 'CAAMCL_20200313_1030', 'DB263', '2S48-M0696', '2N13-M1167', 'UTLCAW_20210322_0950', '5S43-M0710', '1S8-M0931', 'COFESL04_20210224_1020', 'WN239', 'COFEFC05_20210317_1316', 'COFEFC15_20210303_1150', 'COFESL14_20210121_1446', '6N17-M1330', 'WN487', 'UTLCAW_20200131_1200', 'COERGT_20200124_1205', 'COFEJ1_20210428_1208', 'I529', 'CONWC1_20200129_1020', '5N15-M1201', 'COCPMR_20191218_1350', '1N3-M1452', 'IDBRLO_20210204_1035', 'CASHFO_20191220_1231', 'IDBRLO_20200131_0926', 'COERO4_20200513_0900', '2N13-M1181', '2S48-M0686', '5N11-M1395', 'COFEJ1_20210127_1048', 'CASHOP_20200311_0850', 'DA405', 'COGMCO_20200312_0850', 'A766', 'MTCAWX_20210120_1350', '5N10-M0671', '5N19-M0728', 'COERAP_20200201_1550', 'COERO4_20200428_0900', 'UTLCAC_20200213_1345', 'COER13_20200226_1155', 'IDBRBU_20191219_1000', 'COERIB_20200520_0930', '9C17-M0804', '2N14-M1461', 'CONWFN_20200513_0944', 'CONWFN_20200212_1335', '5C21-M0855', '2S16-M1273', 'WA256', '1N6-M0657', 'COGM9S40_20200201', '1S17-M1285', 'COERIB_20200408_1042', 'COGM2S6_20200211', '2N12-M0885', '2S16-M1263', 'CAMLCP_20200122_1000', '5C21-M0872', '3S33-M1068', 'COGM9C17_20200130', '8N38-M0848', '2N4-M0602', 'COER13_20200512_1200', 'COGMSO_20191219_1600', '1N3-M1441', 'UTLCAW_20210115_1510', 'COERTR_20200202_1033', '9C16-M1148', 'CONWOF_20200122_1100', '9S51-M0773', 'WA020', 'COGMST_20200503_1732', 'DB247', 'IDBRLO_20210302_1200', 'COGM5S31_20200130', 'COGMCO_20200318_0825', '1N6-M0629', 'COGMSO_20200328_1630', 'DA458', 'TLS-FL3A-M1323', 'COCPMR_20200226_0949', 'COGM1C7_20200131', '5S21-M1016', 'COERGT_20200205_0945', 'COSBSA_20200212_1236', '9S51-M0758', '5N19-M0731', 'DN091', '2S3-M0822', '9S51-M0775', '1S2-M1233', 'WB490', 'COGMCT_20200325_1230', 'IDBRLT_20210115_1457', 'COFEJ1_20191024_1243', 'CONWC1_20200304_0903', '7C15-M0832', 'IDBRLT_20210223_1245', 'IDBRBS_20210120_1120', '9S51-M0763', 'COERAP_20200427_0845', 'COERIB_20200226_1145', '1S1-M0820', 'COSBSA_20210317_1018', 'IDBRBO_20200219_1222', 'N547', 'COFEJ2_20200311_1030', 'CAMLCP_20200226_0954', '3S47-M0748', '1N6-M0634', 'COGM9N59_20200128', 'N556', '2N14-M1460', 'COER13_20200428_1300', 'COERUP_20200226_1400', 'COFEJ1_20200226_1208', '2S7-M1245', 'CONWFS_20200513_1000', 'COFEFC12_20210317_0845', 'COGM8N51_20200204', '3S14-M0985', 'COGMFL2A_20200211', '2N12-M0865', 'DA411', 'UTLCAC_20210204_1350', '2N4-M0622', '3N22-M0757', 'COFESL01_20210224_1440', '2S11-M0961', '2N12-M0899', 'TLS-FL3A-M1313', 'COERAP_20200427_1015', 'CONWFN_20200311_1130', 'CASHT4_20200129_1415', 'COCPJW_20200226_0947', '5S21-M0997', 'MTCASX_20210224_1231', 'COERO4_20200201_1215', 'COFEB2_20201217_1330', 'N657', '3S14-M0988', 'COGM8C18_20200205', '2S48-M0699', '6N17-M1347', '6S34-M1028', 'N730', '2S48-M0682', '8C11-M1160', '2S48-M0701', 'TLS-FL3A-M1324', 'COGMCO_20191220_1030', '8C18-M1101', '9S51-M0771', 'COGM4C30_20200131', 'CONWOF_20200513_1050', 'COGM8C29_20200205', '5N10-M1360', '2S7-M1249', '5S29-M1091', 'COERO4_20200513_0915', '2S3-M0837', '8N38-M0839', 'COFEB1_20210505_0815', '5N10-M1376', '5N11-M1387', 'COFEJ1_20210407_0754', '1S1-M0811', 'TLS-FL3A-M1317', 'TLS-FL3A-M1307', '9S51-M0764', 'IDBRBL_20210225_1330', 'COGM2C33_20200130', 'COFEB2_20210217_1248', '1N6-M0639', 'IDBRBK_20210120_1310', '2S3-M0833', '6S34-M1034', 'COGM6S53_20200206', 'COGM6N18_20200128', '9S51-M0778', 'COGM7N57_20200128', 'COCPJW_20200219_1004', '9C16-M1140', '5C21-M0867', 'SB027', '3S14-M0993', '2S16-M1278', 'COGM2S36_20200129', '1S1-M0805', '5N11-M1393', '2N4-M0609', 'COFEJ1_20191124_1112', 'A761', 'COGMWO_20200316_1519', '2N12-M0881', 'IDBRBS_20210310_1150', 'COGM8N45_20200201', 'COER12_20200201_1232', 'DB106', 'IDBRLO_20200220_0845', '3S14-M0981', 'COGM8N35_20200210', 'COCPJW_20200311_0900', 'COGM8N54_20200204', '3S47-M0744', 'UTLCAW_20200305_1230', '1S1-M0814', '2S11-M0959', 'IDBRBS_20210128_1200', 'COFESL16_20210128_1215', '6N17-M1333', 'UTLCAW_20200227_1145', '5N15-M1209', 'CAMLCP_20191218_1108', 'NMJRHQ_20191220_1100', '1N3-M1449', '5S43-M0707', '6S34-M1046', 'COER12_20200512_1100', '5S21-M1010', 'COGMWT_20200409_0725', '2N12-M0880', 'COSBSA_20210120_1130', 'CONWC1_20191218_0915', '3S47-M0750', 'COFEJ1_20200119_1040', '5C21-M0873', 'COFEJ2_20191203_1310', '8N25-M0778', '2S48-M0702', 'COGM5N10_20200128', '5S43-M0725', 'COGM2S16_20200208', 'SB011', '3S14-M0974', 'COER12_20200428_1445', 'TLS-FL2A-M1411', '2S16-M1282', '5S29-M1079', '6S34-M1036', '3S47-M0753', 'COGM9N56_20200204', '7C15-M0834', 'COGM7C15_20200130', 'CONWFF_20200311_0920', 'A664', 'COGMCT_20200312_1030', 'CONWFF_20200122_1010', 'COERTR_20200202_1030', '3S33-M1064', '1S1-M0798', 'COFEB1_20200311_1200', '1S8-M0928', '5S21-M1005', 'N788', 'COERAP_20200226_1600', 'DN469', '1N3-M1444', '2C12-M1489', '2S7-M1239', 'WN017', 'COGM5N24_20200212', 'DB107', '9C17-M0784', '3S47-M0732', 'CAAMCL_20200228_1130', 'UTLCAW_20200124_1100', 'IDBRLT_20200304_1111', '5S43-M0728', 'COSBSB_20191218_1415', '5N10-M0676', 'N667', 'COFESL15_20210121_1546', 'COGM9C19_20200130', 'IDBRLO_20210316_1130', '2S11-M0955', 'CN069', '5N11-M1390', 'COERO4_20200428_0830', '2N4-M0615', '2S3-M0838', 'COCPMR_20210210_1015', 'CASHFO_20200219_1000', '3S33-M1073', 'IDBRBO_20200312_1215', '8N25-M0793', '2N4-M0616', 'IDBRLO_20200311_0930', 'COER12_20200428_1400', '3S33-M1072', 'COGM1C8_20200131', 'IDBRBL_20210407_1200', 'COFEB2_20200212_1120', '6N18-M0690', 'COGM3S52_20200204', 'IDBRLO_20210323_1207', '1S8-M0934', '9C17-M0794', 'COGM2C9_20200131', 'COGM9N30_20200206', '3S33-M1058', 'COERTR_20200202_1032', 'COFEB2_20210331_1120', 'COFEJ2_20191024_1322', '5N10-M0673', '1S8-M0940', '6S34-M1033', 'COGMFL1B_20200212', '1N3-M1451', 'COFEJ2_20210303_1601', '2C12-M1481', 'COGM6S22_20200205', 'COGM2S46_20200204', '7C15-M0814', '5S21-M1017', '5S43-M0718', 'CB056', '1S1-M0807', '6N18-M0699', 'COGMWO_20200316_1358', '5S29-M1080', 'COFEB2_20210407_0932', '5N10-M1374', 'COGM1N20_20200205', '2S48-M0690', '1N6-M0653', 'COCPMR_20200212_1348', 'CONWFS_20200212_1040', 'COGMST_20200306_1815', 'TLS-FL2A-M1410', '1S8-M0917', '2C12-M1490', 'IDBRBT_20210122_1400', 'I505', 'UTLCAC_20200312_0930', 'COFEJ2_20200104_1200', '9N29-M0884', '5N19-M0742', 'UTLCAW_20210317_0850', '3S33-M1057', 'COGM8C11_20200205', 'COERUP_20200226_1330', '5N11-M1391', 'SA356', 'COGMSO_20200406_0650', 'COER14_20200512_1330', '1S8-M0911', '5N10-M1354', '1S8-M0924', 'COER12_20200201_1305', '1S1-M0803', 'WA240', '5N15-M1198', '8C18-M1121', '8N25-M0789', '5S21-M1011', 'WN432', 'COGM3N22_20200128', '8C18-M1112', 'COCPCP_20210507_0905', 'GML-M1019', '5N10-M1370', '8N38-M0856', '9N29-M0893', '1N3-M1447', 'COERO2_20200226_1120', '6N18-M0706', 'COERO4_20200428_0915', 'EB234', '7C15-M0815', 'DA375', '2S3-M0830', 'NMJRHQ_20200212_1305', 'IDBRBU_20200304_1455', '9C16-M1128', 'CONWOF_20200122_1115', '1N3-M1435', 'COCPMR_20210322_0930', 'COGMSO_20200122_1455', '3S47-M0738', '3N22-M0758', '5N19-M0725', 'COGMWO_20200409_1615', 'IDBRLO_20200122_1512', 'CONWFN_20200513_1048', 'IDBRBU_20200214_1230', '5N11-M1403', 'UTLCAC_20210303_1220', 'TLS-FL3A-M1304', 'COGM8C26_20200131', '5C21-M0871', 'COFEFC01_20210317_0833', 'COFEJ2_20210421_1149', 'UTLCAW_20210517_1120', 'COGM9N47_20200204', 'COGM4N2_20200128', 'COGMST_20200312_1345', '2N12-M0862', 'COERUP_20200512_0945', 'COGM2N21_20200211', 'COGM3N53_20200128', 'COGM9S51_20200129', '6N17-M1348', 'GML-M1023', '5C21-M0852', '5S21-M1001', '9C16-M1150', 'COCPMR_20210127_1025', 'COERO2_20200427_1215', '7C15-M0819', '1N3-M1440', 'UTLCAC_20210120_1330', '3N22-M0747', 'CONWFS_20200212_1100', '7C15-M0816', 'N611', 'CONWSA_20200304_1006', 'UTLCAC_20210210_1100', 'COGM1S2_20200208', '2S11-M0949', 'COERTR_20200202_1031', 'CONWOF_20200513_1130', 'CAMLPD_20200219_1015', 'COGMST_20200418_1217', '8N25-M0779', 'WN037', '5N11-M1397', '3S33-M1067', '5N19-M0723', 'COGMST_20200321_1155', '5N10-M1362', '5N19-M0734', 'COGMCT_20200122_1225', '5N15-M1200', 'DB337', 'IDBRBS_20210322_1144', '9C17-M0788', 'COGM8S30_20200129', 'COSBSA_20210310_1322', 'COGM1N3_20200211', 'TLS-FL2A-M1424', '5S43-M0724', 'WN276', 'COFEFC10_20210303_1059', 'IDBRBS_20200109_1030', '3S14-M0978', '5C21-M0868', 'COSBSA_20200226_1444', '5N10-M1371', '8C18-M1109', '6N18-M0717', '1S1-M0818', 'COFEJ1_20191230_1115', 'COGMST_20200212_1430', 'COFEJ1_20210210_1318', 'CASHT4_20200212_1050', '2N12-M0863', 'IDBRBT_20210309_1653', 'WA491', 'COER12_20200428_1415', 'A784', 'COGMSO_20210318_1215', 'CASHOP_20200304_0957', 'CAMLCP_20200206_1335', 'IDBRLT_20200131_1115', '2N14-M1465', 'COGM9N43_20200204', 'CONWOF_20200212_1300', '2S7-M1247', '1N6-M0640', 'COFEJ2_20210331_1330', '3S14-M0980', 'IDBRBL_20210302_1226', '1S2-M1226', '5N10-M1361', '5C21-M0859', '8C11-M1159', 'COSBSA_20210115_1115', '2N12-M0871', '5N11-M1389', 'EN220', '9N29-M0890', '6N18-M0696', 'N502', 'COFESL06_20210122_0839', 'IDBRBL_20201216_1430', '2S16-M1274', 'CONWFF_20200422_1310', 'COFEB2_20210210_1055', 'COFESL13_20210127_0916', 'COERAP_20200226_1550', '9N29-M0888', 'COGM2S10_20200205', '3S38-M1096', '9N29-M0875', 'COGM2S9_20200205', 'NMJRBA_20200122_1420', 'COFEB1_20210120_1500', '1S8-M0935', 'COGMTLSFL2A_20200210', '1S8-M0905', 'COFEJ1_20210421_1059', 'COGMSO_20200312_1520', 'COGMST_20200401_1535', '5S29-M1082', '3S33-M1051', 'COCPCP_20210520_0854', '2S16-M1260', 'WA098', 'CAMLCP_20200219_1005', '2N12-M0891', '8C18-M1102', '5N10-M0667', 'COGM6N17_20200210', 'COERO6_20200427_1445', 'COFEJ2_20191230_1227', 'IDBRBT_20210107_1430', '3N22-M0761', '1N6-M0648', 'COGM5N11_20200210', '2N4-M0623', '2S16-M1270', 'NMJRBA_20200304_1116', '5N11-M1396', '2S48-M0692', '2N13-M1178', 'COFEFC17_20210303_1404', 'UTLCAC_20210310_1245', 'COGM2S25_20200129', '3S47-M0754', 'COCPCP_20210218_1418', '5N11-M1399', '3N22-M0767', '5C21-M0869', 'CASHOP_20200226_1016', 'COGM5S29_20200204', '5N10-M1369', 'COGMSO_20200422_1512', 'COFESL07_20210127_1307', 'CONWFS_20200311_1010', '1S8-M0909', '1S1-M0806', '8N25-M0775', 'COER14_20200428_1115', '2S48-M0700', 'A739', '5N15-M1208', '8N25-M0782', 'COFEFC10_20210317_1026', 'COER12_20200512_1030', '1N6-M0654', 'UTLCAC_20200131_1130', '5N10-M0668', 'IDBRBL_20210318_1330', 'COGM2N49_20200210', 'CAAMCL_20200131_1215', 'NMJRHQ_20200220_1156', '8N25-M0796', 'COGM1S17_20200208', '6N18-M0714', 'COERGT_20200226_1020', 'DN407', '9S51-M0776', 'A767', 'COFEJ1_20200221_1105', 'EB231', 'COGMWT_20200305_0935', 'GML-M1021', 'COGM6S15_20200205', 'CONWC1_20200311_0716', '3S33-M1069', '7C15-M0836', 'COCPCP_20210115_1515', 'COGM5S24_20200129', 'COCPCP_20210303_1345', 'COGMST_20200225_1640', 'COGMCT_20200212_1030', 'TLS-FL3A-M1303', 'COFEJ1_20210331_1400', 'IDBRBO_20200213_1230', 'IDBRBS_20210225_1134', '5N15-M1210', '1S8-M0937', '5N19-M0726', '5C21-M0851', 'COGM5S21_20200201', 'COGMCO_20200226_0715', '9N29-M0894', 'COERO4_20200226_1230', 'COFEJ1_20210322_1204', '2S3-M0843', 'COFESL02_20210127_1429', '6N18-M0705', 'UTLCAW_20210127_1320', 'COGM2S3_20200129', 'COFEJ1_20210224_1308', '8N25-M0792', '2S16-M1265', '7C15-M0817', '9N29-M0882', '2N14-M1457', 'IDBRBO_20210318_1202', 'A557', 'COFEB1_20210331_0935', '3S14-M0979', '2S11-M0964', '3N22-M0755', '3N22-M0768', 'WA437', '8N38-M0845', '8N38-M0843', '7C15-M0830', 'CONWFS_20200311_0930', '5S43-M0719', 'CONWOF_20200513_1105', 'COFEJ1_20200304_1220', 'CONWSA_20200226_1016', 'COGMSO_20200212_1252', '9C17-M0806', 'COGMSO_20200225_1500', '5C21-M0870', 'COGM6S44_20200204', 'COGM8S28_20200131', 'IDBRBL_20201201_1149', 'TLS-FL3A-M1301', '3S47-M0745', '5S43-M0723', 'COFEB1_20210407_0835', '1S2-M1225', 'N746', 'COERO6_20200226_1428', '3S33-M1055', '5N19-M0739', 'UTLCAC_20210127_1145', '6N17-M1350', '8N25-M0783', '6N18-M0697', 'COGMSO_20200306_0602', 'EN233', 'UTLCAW_20210219_1205', 'CONWSA_20200129_1030', '2N51-M1473', 'COGM8N58_20200128', 'COERUP_20200202_1120', '2N12-M0869', '2S11-M0962', 'TLS-FL2A-M1431', '5N15-M1197', '8C18-M1116', 'N764', '8N25-M0788', '2S7-M1256', '5C21-M0861', '2N4-M0613', '5S21-M0998', '6S34-M1050', '6N17-M1334', '2N12-M0893', 'COGMCT_20191219_1420', '2N14-M1470', 'COSBSB_20200201_0950', 'COGMSO_20200306_1705', '5N10-M0662', '2C12-M1484', 'COSBSA_20210210_1310', '9S51-M0759', '1N6-M0651', 'CAMLPD_20200124_0945', '8N38-M0854', '5S43-M0706', '9C17-M0800', '6S34-M1039', '5N11-M1392', '2C12-M1480', 'COGM6S32_20200206', 'EB227', 'CONWFS_20200513_0915', '1S17-M1294', '5N19-M0736', '3S47-M0735', 'COCPMR_20210309_0945', '3S14-M0986', '2N12-M0890', '8N38-M0840', '6N17-M1344', '9C16-M1134', '5N11-M1405', 'DN409', 'COERO4_20200226_1330', 'COER13_20200428_1245', 'COGMWT_20200316_1050', '5N15-M1189', 'CONWSA_20191218_1300', '2S48-M0684', '1S8-M0904', 'COGMWT_20200331_1310', '2N12-M0897', '9C17-M0799', 'COGM2S27_20200204', '2N51-M1475', '3S47-M0739', 'TLS-FL2A-M1426', 'COFESL08_20210122_0929', 'CB006', '1S8-M0941', 'CONWOF_20200311_1100', 'COGM9N28_20200208', 'TLS-FL2A-M1419', '6S34-M1043', 'NMJRBA_20191220_1450', 'UTLCAW_20210303_0925', 'DN471', 'COFEJ2_20210322_1326', 'IDBRBO_20200130_1340', '6N18-M0700', 'COGM1N5_20200211', 'EB108', 'IDBRBT_20210302_1500', '5N10-M0664', '6N18-M0695', '6N18-M0704', '6N17-M1335', '3S33-M1059', 'IDBRMC_20200311_1100', 'COFEFC17_20210317_1212', 'CONWOF_20200212_1254', '9C16-M1151', 'WA492', 'NMJRHQ_20200122_1115', '2C12-M1483', 'COGM1S12_20200211', 'COERO2_20200427_1245', '2N13-M1175', '1S8-M0927', '8N25-M0781', '1S2-M1218', '1N6-M0638', 'CAMLCP_20200304_1028', 'COGM9C16_20200205', 'WN486', 'N789', '9C17-M0803', 'CASHOP_20191220_1123', 'COFEB2_20200221_1450', '9C17-M0810', 'UTLCAW_20210507_0910', 'COERO2_20200201_1120', 'COCPMR_20200304_1229', 'COER12_20200226_1242', 'CASHT4_20200226_1201', 'COFESL02_20210224_1308', 'COFEJ2_20191124_1155', 'IDBRLO_20200304_1210', 'IDBRBL_20210211_1015', 'COFEB2_20210322_0957', 'TLS-FL3A-M1309', '5N10-M0669', '1S17-M1287', '2S16-M1269', 'WN101', '5N19-M0745', '8N38-M0851', '2N14-M1469', 'WN105', 'COFEB1_20210322_0827', '2S7-M1257', 'IDBRMC_20210407_1215', '2N4-M0608', 'IDBRBS_20201120_1150', 'UTLCAW_20200312_1248', '5N19-M0737', '5N15-M1206', 'IDBRBU_20200131_1330', '9N29-M0883', '9N29-M0880', 'CAAMCL_20200221_1200', '2N12-M0889', '9S51-M0761', 'COCPJW_20200131_1000', '2N12-M0872', 'CONWOF_20200311_1118', 'WA331', 'WN281', '2N13-M1179', '2N13-M1172', 'COGM3N26_20200208', 'COGMSO_20200219_1340', '2S3-M0832', '8N25-M0786', 'COGM9N44_20200201', 'CONWFN_20200122_1245', '1N6-M0637', 'COERUP_20200429_1115', '2N12-M0904', 'COGMST_20200122_1655', '1S2-M1215', 'IDBRLO_20210126_1205', '2N12-M0888', '6N18-M0713', 'COGM6C24_20200131', 'SB028', '1S2-M1234', '1S1-M0821', 'COGMCO_20200417_1509', '8C18-M1120', '5N10-M1379', '2S3-M0828', 'COGM6C34_20200201', '1S1-M0816', 'DN248', 'CONWFN_20200311_1101', 'COCPMR_20210318_0900', '5N10-M0666', 'IDBRBS_20210204_1030', '1N3-M1437', 'IDBRBU_20200311_1400', '2S48-M0694', 'COERO2_20200427_1145', 'SA328', 'COGMWO_20200305_0809', '6N18-M0692', '2N14-M1456', '5N10-M1377', '2N4-M0619', '2S11-M0958', '7C15-M0828', 'COFEB1_20210310_1349', '1S1-M0815', '2N12-M0901', '5N11-M1382', '9C17-M0783', '1S8-M0908', 'IDBRBS_20200219_1045', 'COFEB1_20210317_0942', 'COGM5N32_20200212', 'IDBRBL_20201116_1100', 'COERIB_20200506_1132', '6S34-M1030', '2N4-M0625', '5N11-M1384', 'COFEJ2_20210210_1443', 'CASHOP_20200219_1021', '1N6-M0633', 'IDBRBS_20200123_1100', '3S38-M1097', '1N3-M1445', '8N38-M0846', '5S21-M0996', '2N14-M1468', 'COERO2_20200226_1000', 'IDBRBU_20200116_1100', 'CAMLPD_20200205_1000', '1N6-M0644', 'NMJRBA_20200129_1119', 'COGM2S37_20200201', 'TLS-FL2A-M1412', '3S5-M0846', '6S34-M1037', 'IDBRBS_20200305_1040', '3N22-M0759', 'COFEJ2_20210127_1139', 'CONWFF_20200311_0945', 'COGM6C10_20200131', 'CONWC1_20200219_0930', '2N12-M0886', '2S3-M0825', 'EB099', '8N25-M0787', '5N19-M0727', 'COGM1N1_20200208', 'SB454', 'TLS-FL3A-M1321', '2S7-M1237', 'COGM2N12_20200131', 'COGMSO_20200419_1600', '3S14-M0992', '3S14-M0982', '1S8-M0903', 'COGM2S48_20200129', '9C17-M0782', '2N12-M0878', '3S14-M0973', '2N13-M1176', '5S43-M0729', 'COGM8N25_20200128', 'COFEB1_20200221_1350', 'COGMCT_20200219_1115', 'COERO4_20200201_1000', 'COCPCP_20210113_1340', '8N38-M0852', '3S33-M1070', '2S11-M0953', '6N18-M0709', '8N25-M0773', '6N18-M0716', '5N11-M1394', '5N10-M1365', 'COFESL17_20210128_0856', '9N29-M0889', '1S8-M0910', '2C12-M1487', '5N19-M0733', '1N3-M1438', 'IDBRBO_20200206_1300', '5C21-M0860', '2N4-M0605', 'CONWOF_20200422_1054', 'A760', '8N38-M0841', 'IDBRLT_20210126_1335', '7C15-M0835', '6N18-M0693', '5N11-M1398', 'COFEJ1_20200131_1030', 'COGMCO_20200131_0830', 'N786', '6N17-M1329', '1S2-M1228', '2S48-M0698', '8N25-M0795', '1N6-M0635', 'UTLCAW_20210204_0945', 'CONWC1_20200122_1145', '2N14-M1458', 'EB036', 'COSBSB_20200226_1250', 'CONWSA_20200219_1032', 'COCPJW_20200304_0927', '9C16-M1127', 'COGMSO_20200304_1550', '5S29-M1088', 'COGM7N40_20200204', 'COSBSA_20210203_1315', 'COCPMR_20200131_1200', 'WN473', '8N25-M0777', 'WB497', '6N17-M1331', 'COFESL11_20210127_1142', 'WA018', '9N29-M0879', '3N22-M0748', '2N12-M0902', '5N10-M1353', '5S21-M1004', 'COFESL04_20210210_0954', 'CAAMCL_20200214_1200', 'UTLCAC_20210223_1230', '5N15-M1190', 'COGM8C31_20200209', '2S16-M1266', 'COFEFC04_20210317_1359', 'COFEJ2_20210120_1051', 'COERIB_20200212_1145', 'COFEB2_20210127_1447', 'MTCAWX_20210224_1328', '8C11-M1161', '5C21-M0866', 'COCPMR_20200311_1200', 'EB230', 'COERUP_20200226_1310', '9C17-M0802', '1S8-M0944', '8N38-M0859', 'COGM1N6_20200128', '1S17-M1290', '5S21-M1003', '1S8-M0929', '2S11-M0967', 'COGM3S38_20200201', 'COGMWT_20200331_1145', '1S2-M1224', 'COCPMR_20210115_0950', '6S34-M1031', 'COGMGML_20200203', 'UTLCAC_20210322_1245', 'CASHFO_20200304_0925', '1N23-M1476', '3N22-M0770', '5N19-M0738', 'COGM3S33_20200204', '2N4-M0617', '2N4-M0614', 'COSBSA_20210321_1231', '5N15-M1192', 'IDBRBS_20210317_0845', '5N10-M1367', 'IDBRMC_20210304_1318', '2S3-M0842', '5N10-M1355', '2S11-M0971', '1S8-M0938', 'COSBSA_20200129_1205', '9C16-M1133', 'MTCAWX_20210217_1430', '8N38-M0853', '5C21-M0865', 'COERIB_20200205_1140', 'COER12_20200201_1154', 'COFESL14_20210224_1436', 'COFESL12_20210127_1024', '1S8-M0933', '5S29-M1085', 'COERO6_20200226_1458', '1S8-M0918', 'IDBRLO_20210309_1015', 'COSBSA_20200304_1410', '5N19-M0718', '5N19-M0743', '5N10-M1372', 'COFESL17_20210210_1254', 'UTLCAW_20200213_1510', 'A500', 'CONWC1_20200205_1020', '5N15-M1195', 'COGM2S4_20200205', 'TLS-FL2A-M1432', 'A522', '9S51-M0765', '5S21-M1012', 'COGM2C13_20200212', '5S21-M1009', 'COERAP_20200427_0930', '3S47-M0747', 'IDBRBS_20210115_1215', '1N6-M0636', 'DN040', 'COCPCP_20210318_1335', 'IDBRLT_20200226_1115', '9C16-M1143', '2N12-M0896', 'N729', 'COGM5C21_20200130', '3N22-M0750', '3N22-M0751', '8N38-M0850', '9C16-M1146', 'TLS-FL3A-M1306', '3S47-M0737', '1N6-M0649', 'COFEJ1_20200124_1200', 'COFEJ2_20191216_1232', '2N13-M1182', '9C16-M1141', '2N4-M0604', '2N12-M0895', '2N4-M0603', '9C17-M0791', '6N17-M1332', 'COFEJ2_20200221_1145', '9S51-M0768', '1S2-M1222', 'NMJRBA_20200212_1337', '3N22-M0760', 'COGM6N36_20200130', 'COGMWT_20200316_1228', '1S17-M1292', 'COSBSA_20210224_1145', '5C21-M0864', 'SA378', '5N15-M1199', '3S47-M0741', 'CN062', '8N38-M0842', 'IDBRBL_20201209_1200', 'COERO4_20200226_1425', 'DN050', '3S33-M1062', 'COGMST_20200131_1423', '2S48-M0680', 'COGMWT_20200409_1440', 'CONWFN_20200513_1000', '9S51-M0762', 'COGM6N16_20200208', 'TLS-FL2A-M1423', 'COFEJ2_20191210_1245', '8C11-M1158', '5S43-M0730', '3S14-M0991', 'COFEFC12_20210303_0955', 'COER14_20200201_1040', 'UTLCAW_20210210_1220', 'CONWFF_20200513_0955', '2S7-M1236', '5N15-M1205', '1S1-M0809', '2N12-M0887', '6N18-M0691', 'COFEB2_20210505_0842', 'COGM7S50_20200206', 'COGM8S18_20200205', '5N15-M1211', '3S47-M0757', 'COFEJ1_20191203_1208', '2S48-M0691', 'CONWFF_20200513_1030', '8C18-M1115', '2N12-M0907', 'CONWOF_20200311_1145', 'IDBRBO_20200227_1240', '3N22-M0752', 'IDBRLT_20200220_1042', 'COERO6_20200226_1459', 'COGMWO_20200408_1551']\n" - ] - } - ], - "source": [ - "# Find site names we can use\n", - "print(LayerMeasurements.all_sites)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Get the first 1000 measurements from the Boise River Basin Site\n", - "df = LayerMeasurements.from_filter(\n", - " type=\"density\",\n", - " campaign=\"2021 Timeseries\",\n", - " limit=1000\n", - ")\n", - "df.explore()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3. Pick a point of interest" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "tags": [ - "nbsphinx-gallery", - "nbsphinx-thumbnail" - ] - }, - "outputs": [ - { - "data": { - "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# We noticed there are a lot of pits (timeseries pits) for Banner Open\n", - "# Filter down to ONE timeseries\n", - "site_id = \"Banner Open\"\n", - "df = LayerMeasurements.from_filter(\n", - " type=\"density\",\n", - " site_id=site_id\n", - ").set_crs(\"epsg:26911\")\n", - "\n", - "df.loc[:, [\"site_id\", \"geom\"]].drop_duplicates().explore()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
idlatitudelongitudenorthingeastingutm_zonedepthbottom_depthvalue
date
2019-12-1822609.544.30464-115.236034.907222e+06640699.66612111.026.00000016.000000279.000000
2020-01-0922670.044.30463-115.236014.907221e+06640701.28528911.051.00000041.000000156.777778
2020-01-2322746.044.30461-115.235984.907219e+06640703.72598811.061.72727351.727273254.166667
2020-01-3022830.544.30461-115.235984.907219e+06640703.72598811.072.00000062.000000236.000000
2020-02-0622910.044.30458-115.235944.907216e+06640706.98822211.072.00000062.000000254.141026
\n", - "
" - ], - "text/plain": [ - " id latitude longitude northing easting \\\n", - "date \n", - "2019-12-18 22609.5 44.30464 -115.23603 4.907222e+06 640699.666121 \n", - "2020-01-09 22670.0 44.30463 -115.23601 4.907221e+06 640701.285289 \n", - "2020-01-23 22746.0 44.30461 -115.23598 4.907219e+06 640703.725988 \n", - "2020-01-30 22830.5 44.30461 -115.23598 4.907219e+06 640703.725988 \n", - "2020-02-06 22910.0 44.30458 -115.23594 4.907216e+06 640706.988222 \n", - "\n", - " utm_zone depth bottom_depth value \n", - "date \n", - "2019-12-18 11.0 26.000000 16.000000 279.000000 \n", - "2020-01-09 11.0 51.000000 41.000000 156.777778 \n", - "2020-01-23 11.0 61.727273 51.727273 254.166667 \n", - "2020-01-30 11.0 72.000000 62.000000 236.000000 \n", - "2020-02-06 11.0 72.000000 62.000000 254.141026 " - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Get the mean of each date sampled\n", - "df[\"value\"] = df[\"value\"].astype(float)\n", - "df.set_index(\"date\", inplace=True)\n", - "mean_values = df.groupby(df.index).mean()\n", - "mean_values.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Notes on this mean\n", - "\n", - "Taking this `mean` as bulk density **could be flawed** if layers are overlapping or layers vary in thickness" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# !pip install plotly\n", - "import plotly.express as px\n", - "# For rendering in readthedocs\n", - "import plotly.offline as py\n", - "py.init_notebook_mode(connected=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "hovertemplate": "Date=%{x}
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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Show more detail by using a box plot\n", - "# make sure values are floats\n", - "df[\"value\"] = df[\"value\"].astype(float)\n", - "\n", - "# make Make a box plot\n", - "fig = px.box(df, x='date', y='value', notched=True, title='Pit Density by Date')\n", - "fig.update_traces(hoverinfo='y+name')\n", - "fig.update_layout(template='plotly_dark')\n", - "\n", - "# alternative matplotlib code\n", - "# df.boxplot(by='date', column='value')\n", - "# plt.title('Density Distribution for Banner by Date')\n", - "# plt.suptitle('') # Suppress the automatic title\n", - "# plt.xlabel('Date')\n", - "# plt.ylabel('Value')\n", - "# plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "snowexsql", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.6" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/camera_derived_snow_depths_example.ipynb b/docs/gallery/camera_derived_snow_depths_example.ipynb deleted file mode 100644 index da34ef9..0000000 --- a/docs/gallery/camera_derived_snow_depths_example.ipynb +++ /dev/null @@ -1,205 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Plotting Camera Derived Snow Depths\n", - "\n", - "**Goal**: Plot all camera location with pit locations. Then plot a timeseries of one camera in the trees and one in the open.\n", - "\n", - "**Approach**:\n", - "\n", - "1. Grab all the Site data for the pits and all the camera locations\n", - "2. Plot the pits and sites all together \n", - "3. Grab and Plot the Vegetated and Open Camera sites \n", - "\n", - "\n", - "## Process\n", - "\n", - "### Step 1: Grab all the pit and camera locations" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 18 camera locations\n", - "Found 226 pit site locations\n" - ] - } - ], - "source": [ - "from snowexsql.db import get_db\n", - "from snowexsql.data import PointData, SiteData\n", - "from snowexsql.conversions import query_to_geopandas\n", - "\n", - "from datetime import date\n", - "import geopandas as gpd\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "\n", - "# Connect to the database \n", - "db_name = 'db.snowexdata.org/snowex'\n", - "engine, session = get_db(db_name, credentials='./credentials.json')\n", - "\n", - "# Grab all the point data that was that was measured with a camera\n", - "qry = session.query(PointData)\n", - "qry = qry.filter(PointData.instrument == 'camera')\n", - "qry = qry.filter(PointData.site_name == 'Grand Mesa')\n", - "qry = qry.filter(PointData.utm_zone == 12)\n", - "\n", - "# Convert it to a geopandas df \n", - "camera_depths = query_to_geopandas(qry, engine)\n", - "\n", - "# Grab all the unique pits geometry objects (locations)\n", - "qry = session.query(SiteData.geom)\n", - "qry = qry.filter(SiteData.site_name == 'Grand Mesa')\n", - "qry = qry.filter(SiteData.date > date(2019, 10,1))\n", - "qry = qry.filter(SiteData.date < date(2021, 10,1))\n", - "\n", - "qry = qry.distinct()\n", - "pits = query_to_geopandas(qry, engine)\n", - "\n", - "# Print out how many of each that we found\n", - "print(f'Found {len(camera_depths[\"geom\"].unique())} camera locations')\n", - "print(f'Found {len(pits.index)} pit site locations')\n", - "\n", - "# End our database session to avoid hanging transactions\n", - "session.close()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2: Plot our camera and Pit locations" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# plot our pits as triangles\n", - "ax = pits.plot(marker='^', color='gray', edgecolor='k', label='Pits')\n", - "\n", - "# Plot our cameras as squares\n", - "ax = camera_depths.plot(ax=ax, color='magenta', edgecolor='k', marker='s', label='Cameras')\n", - "\n", - "# Don't use scientific notation on the ticks for utm coords\n", - "ax.ticklabel_format(style='plain', useOffset=False)\n", - "ax.set_xlabel('Easting [m]')\n", - "ax.set_ylabel('Northing [m]')\n", - "ax.legend()\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3: Grab/Plot the Vegetated and Open Camera sites " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "tags": [ - "nbsphinx-thumbnail", - "nbsphinx-gallery" - ] - }, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Grab the open site data from the db\n", - "open_site = 'W1A'\n", - "veg_site = 'W9A'\n", - "qry = session.query(PointData).filter(PointData.equipment.contains(open_site))\n", - "df_open = query_to_geopandas(qry,engine)\n", - "\n", - "# Grab the vegetated site from the db \n", - "qry = session.query(PointData).filter(PointData.equipment.contains(veg_site))\n", - "df_veg = query_to_geopandas(qry,engine)\n", - "\n", - "# Set the date as the index for easy plotting/reading\n", - "df_open = df_open.set_index('date')\n", - "df_veg = df_veg.set_index('date')\n", - "\n", - "# Plot the 2 datasets by date!\n", - "ax = df_open['value'].plot(label=f'Open ({open_site})')\n", - "df_veg['value'].plot(ax=ax, label=f'Vegetated ({veg_site})')\n", - "\n", - "# Mess with some labeling to make it look nice\n", - "ax.legend()\n", - "ax.set_ylabel('Snow Depth [cm]')\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "session.close()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/card-images/camera-snow-depths.png b/docs/gallery/card-images/camera-snow-depths.png deleted file mode 100644 index 20d7df0ff698d0f6c092511eec7011af16c0acf7..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 22999 zcma&NWmJ^k`#mfOLrCY)AV^7fBo?l8?vb!~5L=dprs6%5)j@9Z{O}6+VaWafbY@DJwpQINp_T 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a/docs/gallery/compare_SSA_instruments_example.ipynb +++ /dev/null @@ -1,187 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Comparing SSA Instruments\n", - "\n", - "**Goal**: Find colocated SSA measurements with more than one instrument and compare by plotting, this is replicating the plot found in the \n", - "meta.pdf that came with the data\n", - "\n", - "**Approach**:\n", - "\n", - "1. Find all sites with SSA data \n", - "2. Isolate the sites with multiple SSA instruments \n", - "3. Plot each site with all its instruments we found\n", - "\n", - "\n", - "## Process\n", - "\n", - "### Step 1: Find all the Sites that have SSA Data" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "from snowexsql.db import get_db\n", - "from snowexsql.data import LayerData, PointData\n", - "from snowexsql.conversions import points_to_geopandas, query_to_geopandas\n", - "\n", - "import geoalchemy2.functions as gfunc\n", - "import geopandas as gpd\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "\n", - "# Connect to the database\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "\n", - "engine, session = get_db(db_name, credentials='./credentials.json')\n", - "\n", - "# Grab all the equivalent diameter profiles\n", - "qry = session.query(LayerData).filter(LayerData.type == 'specific_surface_area')\n", - "\n", - "df = query_to_geopandas(qry, engine)\n", - "\n", - "# End our database session to avoid hanging transactions\n", - "session.close()\n", - "\n", - "# Grab all the sites with equivalent diameter data (set reduces a list to only its unique entries)\n", - "sites = df['site_id'].unique()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2: Isolate all the Sites with Multiple SSA Instruments" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# Store all site names that have mulitple SSA instruments\n", - "multi_instr_sites = []\n", - "instruments = []\n", - "\n", - "for site in sites:\n", - "\n", - " # Grab all the layers associated to this site\n", - " site_data = df.loc[df['site_id'] == site]\n", - "\n", - " # Do a set on all the instruments used here\n", - " instruments_used = site_data['instrument'].unique()\n", - "\n", - " if len(instruments_used) > 1:\n", - " multi_instr_sites.append(site)\n", - "\n", - "# Get a unqique list of SSA instruments that were colocated\n", - "instruments = df['instrument'].unique()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3: Plot all SSA profiles at all Multi-Instrumented Sites" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "tags": [ - "nbsphinx-thumbnail", - "nbsphinx-gallery" - ] - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Setup the subplot for each site for each instrument\n", - "fig, axes = plt.subplots(1, len(multi_instr_sites), figsize=(4*len(multi_instr_sites), 8))\n", - "\n", - "# Establish plot colors unique to the instrument\n", - "c = ['k', 'm', 'c']\n", - "colors = {inst:c[i] for i,inst in enumerate(instruments)}\n", - "\n", - "# Loop over all the multi-instrument sites \n", - "for i, site in enumerate(multi_instr_sites):\n", - " \n", - " # Grab the plot for this site\n", - " ax = axes[i]\n", - " \n", - " # Loop over all the instruments at this site\n", - " for instr in instruments:\n", - "\n", - " # Grab our profile by site and instrument\n", - " ind = df['site_id'] == site \n", - " ind2 = df['instrument'] == instr\n", - " profile = df.loc[ind & ind2].copy()\n", - "\n", - " # Don't plot it unless there is data\n", - " if len(profile.index) > 0:\n", - " \n", - " # Sort by depth so samples that are take out of order won't mess up the plot\n", - " profile = profile.sort_values(by='depth')\n", - " \n", - " # Layer profiles are always stored as strings. \n", - " profile['value'] = profile['value'].astype(float)\n", - " \n", - " # Plot our profile\n", - " ax.plot(profile['value'], profile['depth'], colors[instr], label=instr)\n", - " \n", - " # Labeling and plot style choices\n", - " ax.legend()\n", - " ax.set_xlabel('SSA [kg/m^2]')\n", - " ax.set_ylabel('Depth [cm]')\n", - " ax.set_title('Site {}'.format(site.upper()))\n", - " \n", - " # Set the x limits to show more detail\n", - " ax.set_xlim((8, 75))\n", - " \n", - "plt.tight_layout()\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/compare_UAVSAR_to_depths_example.ipynb b/docs/gallery/compare_UAVSAR_to_depths_example.ipynb deleted file mode 100644 index 6391272..0000000 --- a/docs/gallery/compare_UAVSAR_to_depths_example.ipynb +++ /dev/null @@ -1,243 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Compare Snow Depths with Interferogram\n", - "\n", - "**Goal**: Compare the insar phase to snowdepths\n", - "\n", - "**Approach**: \n", - "1. Define an area to study the relationship \n", - "2. Grab the snow depths from the magnaprobe in the area\n", - "3. Grab the real and imaginary pixels nearest the magna probe locations \n", - "4. Plot it\n", - "\n", - "\n", - "### Step 1: Define an Area to Compare Depths to Interferogram" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/micah/projects/venv/snowexenv/lib/python3.8/site-packages/sqlalchemy/sql/functions.py:61: SAWarning: The GenericFunction 'st_pixelaspoint' is already registered and is going to be overridden.\n", - " util.warn(\n", - "/home/micah/projects/venv/snowexenv/lib/python3.8/site-packages/sqlalchemy/sql/functions.py:61: SAWarning: The GenericFunction 'st_pixelaspoints' is already registered and is going to be overridden.\n", - " util.warn(\n", - "/home/micah/projects/venv/snowexenv/lib/python3.8/site-packages/sqlalchemy/sql/functions.py:61: SAWarning: The GenericFunction 'st_rastertoworldcoord' is already registered and is going to be overridden.\n", - " util.warn(\n", - "/home/micah/projects/venv/snowexenv/lib/python3.8/site-packages/sqlalchemy/sql/functions.py:61: SAWarning: The GenericFunction 'st_clip' is already registered and is going to be overridden.\n", - " util.warn(\n", - "/home/micah/projects/venv/snowexenv/lib/python3.8/site-packages/sqlalchemy/sql/functions.py:61: SAWarning: The GenericFunction 'st_count' is already registered and is going to be overridden.\n", - " util.warn(\n" - ] - } - ], - "source": [ - "from snowexsql.data import PointData, ImageData, SiteData \n", - "from snowexsql.db import get_db\n", - "from snowexsql.conversions import points_to_geopandas, query_to_geopandas, raster_to_rasterio\n", - "\n", - "from snowexsql.functions import ST_PixelAsPoint\n", - "import geoalchemy2.functions as gfunc\n", - "from geoalchemy2.types import Raster\n", - "from geoalchemy2.shape import to_shape, from_shape\n", - "from datetime import date\n", - "from sqlalchemy.sql import func\n", - "import geopandas as gpd\n", - "import numpy as np \n", - "from rasterio.plot import show\n", - "import matplotlib.pyplot as plt \n", - "\n", - "# PIT Site Identifier\n", - "site_id = '5S31'\n", - "\n", - "# Distance around the pit to collect data in meters\n", - "buffer_dist = 50\n", - "\n", - "# Connect to the database\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "\n", - "engine, session = get_db(db_name, credentials='./credentials.json')\n", - "\n", - "# Grab our pit location by provided site id from the site details table\n", - "qry = session.query(SiteData.geom).filter(SiteData.site_id == site_id)\n", - "sites = qry.all()\n", - "\n", - "# There can be different dates at a single site, so we only grab one to retrieve the geometry object\n", - "point = sites[0][0]\n", - "\n", - "# Create a polygon buffered by our distance centered on the pit\n", - "qry = session.query(gfunc.ST_Buffer(point, buffer_dist))\n", - "buffered_pit = qry.all()[0][0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2: Grab all the Snow Depths in the Area" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "114 Snow Depths found with 50m of 5S31\n" - ] - } - ], - "source": [ - "# Grab all the snow depths measured by a probe in the buffer\n", - "qry = session.query(PointData).filter(gfunc.ST_Within(PointData.geom, buffered_pit))\n", - "points = qry.filter(PointData.instrument.in_(['mesa','magnaprobe','pit ruler'])).all()\n", - "\n", - "# Convert the records received to geopandas\n", - "df_points = points_to_geopandas(points)\n", - "print('{} Snow Depths found with {}m of {}'.format(len(df_points.index), buffer_dist, site_id))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3: Grab near polygons of pixels in the area" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# Loop over all the points\n", - "session.rollback()\n", - "\n", - "def custom_query(session, poi, name, polarization, dem):\n", - " '''\n", - " Form a query to grab a value of a raster at a given point with \n", - " filtering on name of the data, uavsar polarization, and the dem used for \n", - " processing.\n", - " \n", - " Return the records (which should be only one)\n", - " '''\n", - " qry = session.query(ImageData.id, \n", - " ImageData.type,\n", - " func.ST_NearestValue(ImageData.raster, poi))\n", - " qry = qry.filter(ImageData.date == date(2020, 2, 12))\n", - " qry = qry.filter(ImageData.type.contains(name))\n", - " qry = qry.filter(ImageData.description.contains(polarization))\n", - " qry = qry.filter(ImageData.description.contains(dem))\n", - " qry = qry.filter(ImageData.site_name == 'Grand Mesa')\n", - " qry = qry.filter(gfunc.ST_Within(poi, func.ST_Envelope(ImageData.raster)))\n", - " return qry.all()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "df = gpd.GeoDataFrame(columns=['geom','depth','img','real','phase'])\n", - "\n", - "# loop over all our snow depths\n", - "for i, row in df_points.iterrows():\n", - " # Form a EWKT geom object to find values\n", - " poi = from_shape(row['geom'], srid=26912).ST_AsEWKT()\n", - " \n", - " # Grab the nearest pixel value to our snow depth\n", - " img = custom_query(session, poi, 'interferogram imaginary', 'VV','DTM')\n", - " real = custom_query(session, poi, 'interferogram real', 'VV','DTM')\n", - " \n", - " # Store for later \n", - " results = {'img':img[-1][-1],\n", - " 'real':real[-1][-1],\n", - " 'geom': row['geom'],\n", - " 'depth':row['value']}\n", - "\n", - " # Add it to our df\n", - " df = df.append(results, ignore_index=True)\n", - "\n", - " \n", - "# Close the session to avoid hanging transactions\n", - "session.close()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "# Calculate the phase \n", - "df['phase'] = np.arctan(df['img'] / df['real'])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "tags": [ - "nbsphinx-thumbnail", - "nbsphinx-gallery" - ] - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(1,1,figsize=(8,8))\n", - "\n", - "# Plot the comparison\n", - "ax.plot(df['phase'], df['depth'], '.')\n", - "\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/get_spiral_example.ipynb b/docs/gallery/get_spiral_example.ipynb deleted file mode 100644 index dde2eb6..0000000 --- a/docs/gallery/get_spiral_example.ipynb +++ /dev/null @@ -1,180 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Retrieve a Snow Depth Spiral Centered a Pit\n", - "\n", - "**Goal**: Visualize a set of snow depths around a pit\n", - "\n", - "**Approach**: \n", - "\n", - "1. Retrieve the pit location from the Site Data table \n", - "2. Build a circle around the pit location \n", - "3. Request all the point data inside the circle \n", - "4. Convert to a GeoDataFrame and plot\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Process\n", - "### Step 1: Get the pit/site coordinates" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "from snowexsql.db import get_db\n", - "from snowexsql.data import SiteData, PointData\n", - "from snowexsql.conversions import points_to_geopandas\n", - "import geoalchemy2.functions as gfunc\n", - "import geopandas as gpd\n", - "\n", - "# Intense Observation Period Pit Site Identifier\n", - "site_id = '5S31'\n", - "\n", - "# Distance around the pit to collect data in meters\n", - "buffer_dist = 50\n", - "\n", - "# Connect to the database we made.\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "\n", - "engine, session = get_db(db_name, credentials='./credentials.json')\n", - "\n", - "# Grab our pit location by provided site id from the site details table\n", - "q = session.query(SiteData).filter(SiteData.site_id == site_id)\n", - "sites = q.all()\n", - "\n", - "# There can be different dates at a single site, so we only grab one to retrieve the geometry object\n", - "point = session.query(sites[0].geom.ST_AsText()).limit(1).all()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2: Build a buffered circle around our pit" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "# Create a polygon buffered by our distance centered on the pit\n", - "q = session.query(gfunc.ST_Buffer(point[0][0], buffer_dist))\n", - "buffered_pit = q.all()[0][0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3: Request all snow depths measured inside the circle" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "# Filter by the dataset type depth\n", - "qry = session.query(PointData).filter(PointData.type == 'depth')\n", - "\n", - "# Grab all the point data in the buffer\n", - "qry = qry.filter(gfunc.ST_Within(PointData.geom.ST_AsText(), buffered_pit.ST_AsText()))\n", - "\n", - "# Execute the query\n", - "points = qry.all()\n", - "\n", - "# Close the session to avoid hanging transactions\n", - "session.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 4: Convert the data to Geopandas Dataframe and plot it!" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "tags": [ - "nbsphinx-gallery", - "nbsphinx-thumbnail" - ] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(68.6083306656794, 0.5, 'Northing [m]')" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Convert the records received to geopandas\n", - "df = points_to_geopandas(points)\n", - "\n", - "# Get the Matplotlib Axes object from the dataframe object, color points by snow depth value\n", - "ax = df.plot(column='value', legend=True, cmap='PuBu')\n", - "\n", - "# Use non-scientific notation for x and y ticks\n", - "ax.ticklabel_format(style='plain', useOffset=False)\n", - "\n", - "# Set the various plots x/y labels and title.\n", - "ax.set_title('Grand Mesa Snow Depths w/in {}m of site {}'.format(buffer_dist, site_id))\n", - "ax.set_xlabel('Easting [m]')\n", - "ax.set_ylabel('Northing [m]')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/getting_started_example.ipynb b/docs/gallery/getting_started_example.ipynb deleted file mode 100644 index c47ce1d..0000000 --- a/docs/gallery/getting_started_example.ipynb +++ /dev/null @@ -1,146 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Getting Started With Python and Postgresql\n", - "This python package (snowexsql) is python package that provides easy access to the entire postgresql database. Here is how you establish a connection:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# Import the functions we need from the python snowexsql library\n", - "from snowexsql.db import get_db\n", - "\n", - "# If you followed the install instructions the database name should be snowex\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "\n", - "# Using the function get_db, we receive 2 ways to interact with the database\n", - "engine, session = get_db(db_name, credentials='./credentials.json')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Using the Engine Object\n", - "The `engine` object returned from the `get_db` function is not used much in the snowexsql library. It does allow you to use typical SQL \n", - "strings to interact with the database. \n", - "\n", - "**Note**: Users who have used python + SQL before will likely be more familiar with this approach. Additionally those who don't know python but know SQL will also be more comfortable here.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "8C18, 1C1, Open 6, 2S4, 2S7, 6N36, Skyway Open, 6S22, 2S6, 9S40, 9N30, 1N1, 9N47, 1N3, 9N29, 8N45, 9N39, 8C35, 1C5, 6N31, 3S33, 5N24, 3N53, 1C7, 7N40, SNB 2, 8N55, County Line Open, 6N18, 5C20, 5N10, 8N52, 2N21, 1N5, 6S32, GML, 1S1, 2C3, 8S41, JPL 1, Forest 14, 6S53, C1, 8C11, Open, 2C13, Open Flat, Joe Wright, 8N54, 7S23, 6N16, 8C31, Open 2, 5S42, Mesa West Open, 8N34, Upper, 6C37, 5S49, 9S39, 1S17, 2S35, 1C8, BA Flux Tower, 8N9, FL2A, 5S31, 8N38, 6S26, Caples Lake, Open 4, 2S46, 8S28, 8C36, 5N15, 2C33, 6N46, 3S14, 6S15, 8N35, Skyway Tree, TLSFL2A, 2N13, 3N26, 1S8, Saddle, Banner Open, 3S47, 3S52, 4N2, 2S9, 9S51, Trench 13, 6C24, Panorama Dome, 5C27, Senator Beck, 2S25, Swamp Angel, FL1B, 9N42, 1N6, JPL 2, 2S11, 2N8, 9N59, 1N7, 8C25, 3S5, 8N58, 9C28, 2S10, 2S45, 5C21, 5S24, 7S50, 2N49, 8C22, Forest 13, 2N14, 9C17, 5N19, 2C9, 5N50, 2N4, Mores Creek Summit, LDP Tree, 1C14, 2C2, CUES, SNB 1, 8S18, Michigan River, 7C15, Irwin Barn, 2S20, 1S12, 6S44, 2S48, 9C19, 9N43, 9N56, 9N44, 8S30, 8C26, 7N57, 3S38, 9C16, 5N11, 6S34, 4N27, Forest 12, 5S21, 2C12, 2N12, 9C23, 1S2, 3N22, 2N48, 2S3, 5S29, 8N25, 2C4, Forest North, 2C6, Forest, 2S37, 2S16, HQ Met Station, 1S13, Alta Collins, 4C30, County Line Tree, Bogus Upper, 2S36, 6S19, 8N37, Forest Flat, Atwater, LDP Open, 9N28, 1N23, Gothic, 6N17, 8N51, 1N20, Forest South, 5N41, 8C32, 5S43, 8N33, 5N32, 6C10, Tower 4, Banner Snotel, 2S27, Mesa West Trees, 6C34, Aspen, 8C29\n", - "\n" - ] - } - ], - "source": [ - "# First connect to the db\n", - "conn = engine.connect()\n", - "\n", - "# Form a typical SQL query and use python to populate the table name\n", - "qry = \"SELECT DISTINCT site_id FROM sites\"\n", - "\n", - "# Then we execute the sql command and collect the results\n", - "results = conn.execute(qry)\n", - "\n", - "# Create a nice readable string to print the site names using python \n", - "out = ', '.join((row['site_id'] for row in results))\n", - "\n", - "# Print it with a line return for readability\n", - "print(out + '\\n')\n", - "\n", - "# Close your connections to avoid hanging transactions \n", - "conn.close()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Using the Session Object\n", - "The session object allows a user to interact with the database in a pure python form. This approach is called Object Relational Mapping (ORM). This is important because its super handy when your are googling for help. \n", - "\n", - "ORM *maps* the database tables and their columns to a python class and attributes. Here is how it works:\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "8C18, 1C1, Open 6, 2S4, 2S7, 6N36, Skyway Open, 6S22, 2S6, 9S40, 9N30, 1N1, 9N47, 1N3, 9N29, 8N45, 9N39, 8C35, 1C5, 6N31, 3S33, 5N24, 3N53, 1C7, 7N40, SNB 2, 8N55, County Line Open, 6N18, 5C20, 5N10, 8N52, 2N21, 1N5, 6S32, GML, 1S1, 2C3, 8S41, JPL 1, Forest 14, 6S53, C1, 8C11, Open, 2C13, Open Flat, Joe Wright, 8N54, 7S23, 6N16, 8C31, Open 2, 5S42, Mesa West Open, 8N34, Upper, 6C37, 5S49, 9S39, 1S17, 2S35, 1C8, BA Flux Tower, 8N9, FL2A, 5S31, 8N38, 6S26, Caples Lake, Open 4, 2S46, 8S28, 8C36, 5N15, 2C33, 6N46, 3S14, 6S15, 8N35, Skyway Tree, TLSFL2A, 2N13, 3N26, 1S8, Saddle, Banner Open, 3S47, 3S52, 4N2, 2S9, 9S51, Trench 13, 6C24, Panorama Dome, 5C27, Senator Beck, 2S25, Swamp Angel, FL1B, 9N42, 1N6, JPL 2, 2S11, 2N8, 9N59, 1N7, 8C25, 3S5, 8N58, 9C28, 2S10, 2S45, 5C21, 5S24, 7S50, 2N49, 8C22, Forest 13, 2N14, 9C17, 5N19, 2C9, 5N50, 2N4, Mores Creek Summit, LDP Tree, 1C14, 2C2, CUES, SNB 1, 8S18, Michigan River, 7C15, Irwin Barn, 2S20, 1S12, 6S44, 2S48, 9C19, 9N43, 9N56, 9N44, 8S30, 8C26, 7N57, 3S38, 9C16, 5N11, 6S34, 4N27, Forest 12, 5S21, 2C12, 2N12, 9C23, 1S2, 3N22, 2N48, 2S3, 5S29, 8N25, 2C4, Forest North, 2C6, Forest, 2S37, 2S16, HQ Met Station, 1S13, Alta Collins, 4C30, County Line Tree, Bogus Upper, 2S36, 6S19, 8N37, Forest Flat, Atwater, LDP Open, 9N28, 1N23, Gothic, 6N17, 8N51, 1N20, Forest South, 5N41, 8C32, 5S43, 8N33, 5N32, 6C10, Tower 4, Banner Snotel, 2S27, Mesa West Trees, 6C34, Aspen, 8C29\n", - "\n" - ] - } - ], - "source": [ - "# Import the table classes from our data module which is where our ORM classes are defined \n", - "from snowexsql.data import SiteData, PointData, LayerData, ImageData\n", - "\n", - "# Form the query to receive all the site_id from the sites table\n", - "qry = session.query(SiteData.site_id).distinct()\n", - "\n", - "# Execute the query and collect the result\n", - "results = qry.all()\n", - "\n", - "# Form a nice string for readability\n", - "out = ', '.join([row[0] for row in list(results)])\n", - "\n", - "# Print it with a line return for readability\n", - "print(out + '\\n')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# Close your session to avoid hanging transactions\n", - "session.close()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/graupel_pits_example.ipynb b/docs/gallery/graupel_pits_example.ipynb deleted file mode 100644 index 55e4793..0000000 --- a/docs/gallery/graupel_pits_example.ipynb +++ /dev/null @@ -1,163 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Retrieve Sites that Surveyors Found Graupel\n", - "\n", - "**Goal**: Plot all the pit locations and identify which pits had graupel and which didn't\n", - "\n", - "**Approach**: \n", - "\n", - "1. Find all the pits with graupel in the comments.\n", - "2. Find all pits without graupel mentioned in the comments\n", - "3. Plot them!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Process\n", - "\n", - "### Step 1. Use the `LayerData` class to find hand hardness profiles that mention graupel" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sites with Graupel: 8S41, 8N38, 4C30, 1N7, 2N21, 2S35, 1S17, FL1B, 8N25, 5S21, 2S6, 1C7, 2C12, 1N3, 3S47, 2S11, County Line Open, 1N23, 6S32, County Line Open, County Line Tree, Mesa West Open, Mesa West Open, Mesa West Trees, Mesa West Trees, Skyway Open\n" - ] - } - ], - "source": [ - "from snowexsql.data import LayerData, SiteData\n", - "from snowexsql.db import get_db\n", - "from snowexsql.conversions import query_to_geopandas\n", - "import geopandas as gpd\n", - "import matplotlib.pyplot as plt \n", - "\n", - "# Connect to the database\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "\n", - "engine, session = get_db(db_name, credentials='./credentials.json')\n", - "\n", - "# Build a query looking at hand hardness profiles, \n", - "q_base = session.query(LayerData).filter(LayerData.type == 'hand_hardness').filter(LayerData.site_name == 'Grand Mesa')\n", - "\n", - "# add on to the query by filtering on comments containing graupel (case insensitive)\n", - "qry = q_base.filter(LayerData.comments.contains('graupel'))\n", - "\n", - "# Send query and convert records to a dataframe with the results\n", - "df_graupel = query_to_geopandas(qry, engine)\n", - "\n", - "print('Sites with Graupel: {}'.format(', '.join(df_graupel['site_id'])))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2. Use the same query but request the opposite to get pits without graupel" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# Use the exact same query except use ~ to ask for the opposite (pits w/o graupel)\n", - "qry= q_base.filter(~LayerData.comments.contains('graupel'))\n", - "\n", - "# There are multiple layers for a given site at different depths and dates. So insure we don't grab a site that on a given date had graupel\n", - "qry = qry.filter(~LayerData.date.in_(df_graupel['date']), ~LayerData.site_id.in_(df_graupel['site_id']))\n", - "\n", - "# Send query and convert records to a dataframe with the results\n", - "df = query_to_geopandas(qry, engine)\n", - "\n", - "# Close the database session to avoid hanging transactions\n", - "session.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3. Plot pits with graupel in color and without in grey " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "tags": [ - "nbsphinx-thumbnail", - "nbsphinx-gallery" - ] - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "# Plot the dataframe without graupel as grey and slightly transparent.\n", - "ax = df.plot(color='steelblue', alpha=0.1, marker='v', markersize=80, edgecolor='black', label='Pits w/o Graupel', figsize=(10,8))\n", - "\n", - "# Plot the pits with graupel as cyan\n", - "ax = df_graupel.plot(color='lawngreen', ax=ax, marker='v', markersize=150, edgecolor='black', label='Pits w/ Graupel')\n", - "\n", - "# Add a legend, x/y labels, and a title, \n", - "ax.legend()\n", - "ax.set_xlabel('Easting [m]')\n", - "ax.set_ylabel('Northing [m]')\n", - "ax.set_title('Grand Mesa Pits w/ A Graupel Layer', FontSize=16)\n", - "\n", - "# Plot labels in plain numbers not scientific notation (default)\n", - "ax.ticklabel_format(style='plain', useOffset=False)\n", - "\n", - "# Ask matplotlib to try and avoid overlaying labels on each other\n", - "plt.tight_layout()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/graupel_smp_example.ipynb b/docs/gallery/graupel_smp_example.ipynb deleted file mode 100644 index 47ec9c3..0000000 --- a/docs/gallery/graupel_smp_example.ipynb +++ /dev/null @@ -1,267 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Examining SMP Profiles with Graupel\n", - "\n", - "**Goal**: See if we can see graupel in SMP profiles at a pit with known graupel layer\n", - "\n", - "**Approach**:\n", - "\n", - "1. Using a site location, retrieve all SMP profiles\n", - "2. Grab the graupel layer information from the hand_hardness profile\n", - "3. Plot all SMP locations with the Pit location as well.\n", - "4. Plot the SMP profiles and high light where graupel was mentioned in the hand hardness profiles comments\n", - "\n", - "\n", - "## Process\n", - "\n", - "### Step 1. Grab the SMP profiles and convert to a dataframe" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "from snowexsql.data import LayerData, SiteData\n", - "from snowexsql.conversions import query_to_geopandas\n", - "from snowexsql.db import get_db\n", - "import geopandas as gpd\n", - "import matplotlib.pyplot as plt \n", - "import numpy as np\n", - "\n", - "# Site ID we know had graupel\n", - "site = '5S21'\n", - "\n", - "# Connect to the database we made.\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "engine, session = get_db(db_name, credentials='./credentials.json')\n", - "\n", - "# Query the database looking at SMP profiles at our site\n", - "qry = session.query(LayerData).filter(LayerData.type == 'force').filter(LayerData.site_id.contains(site))\n", - "\n", - "# Convert SMP profiles to geopandas dataframe\n", - "df = query_to_geopandas(qry, engine)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2. Grab the hand hardness profile to highlight the graupel layer" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Graupel Layer is between -28.0 - -30.0 cm below surface a site 5S21\n", - "Notes on the Graupel Layer: \"Graupel layer, 6mm graupel\"\n", - "\n" - ] - } - ], - "source": [ - "# Grab hand hardness profiles at our site only\n", - "qry = session.query(LayerData).filter(LayerData.type == 'hand_hardness')\n", - "qry = qry.filter(LayerData.site_id == site)\n", - "\n", - "# Convert the results to a dataframe\n", - "hh = query_to_geopandas(qry, engine)\n", - "\n", - "# Find the word graupel in the comments\n", - "qry = qry.filter(LayerData.comments.contains('graupel'))\n", - "graupel = query_to_geopandas(qry, engine).iloc[0]\n", - "\n", - "# Get the distance below surface to use with SMP data \n", - "graupel['depth'] = graupel['depth'] - (hh['depth'].max())\n", - "graupel['bottom_depth'] = graupel['bottom_depth'] - hh['depth'].max()\n", - "\n", - "print(\"Graupel Layer is between {} - {} cm below surface a site {}\".format(graupel['depth'], graupel['bottom_depth'], site))\n", - "print('Notes on the Graupel Layer: \"{}\"'.format(graupel['comments']))\n", - "print('')\n", - "\n", - "# Close the geoalchemy2 session\n", - "session.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "### Step 3. Plot all the profile locations to see if the data looks like 2 cardinally aligned transects tyring to show acquisition order\n", - "SMP profiles were taken in transects aligned with cardinal directions. Lets see if thats what we have.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plot SMP profile locations with colored by the time they were taken using upside down triangles\n", - "ax = df.plot(column='time', cmap='jet', marker='v', label='SMP', figsize=(5,5), markersize=100, edgecolor='black')\n", - "\n", - "# Plot pit location as a magenta square\n", - "ax.plot(graupel.easting, graupel.northing, markeredgecolor='black', color='magenta', marker='s', markersize=15, label='Pit ({})'.format(site))\n", - "\n", - "# Add important labels\n", - "ax.set_xlabel('Easting [m]')\n", - "ax.set_ylabel('Northing [m]')\n", - "plt.suptitle('SMP Locations at Site {} Showing Acquisition Order'.format(site), fontsize=16)\n", - "\n", - "# Avoid using Scientific notation for coords.\n", - "ax.ticklabel_format(style='plain', useOffset=False)\n", - "ax.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 4. Plot the SMP profiles highlighting the Graupel layer" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "tags": [ - "nbsphinx-gallery", - "nbsphinx-thumbnail" - ] - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# No profile is taken at the same time, so we grab all the unique times and sort them\n", - "times = sorted(df['time'].unique())\n", - "\n", - "\n", - "# Create a grid of plots thats 4 wide and nrows\n", - "xlims = (0,2)\n", - "ylims = (-50, 0)\n", - "\n", - "cols = 4\n", - "rows = int(np.ceil(len(times) / cols))\n", - "\n", - "fig, axes = plt.subplots(rows, cols, figsize=(2 * cols, 2 * rows))\n", - "\n", - "\n", - "# Loop through all the positions in the plot and plot smp data\n", - "for ii in range(rows):\n", - " for jj in range(cols):\n", - " ax = axes[ii][jj]\n", - " \n", - " # Build an index for the times which is 1 x rows*cols\n", - " z = ii * cols + jj\n", - " \n", - " # We may not have an even match between the grid and the times so make sure we don't over index\n", - " if z < len(times):\n", - " \n", - " # Subset all our data to the current time \n", - " t = times[z]\n", - " ind = df['time'] == t\n", - " data = df.loc[ind].copy()\n", - "\n", - " # The data returned from the database is not always in order so sort the data according to the depth\n", - " data = data.sort_values(by='depth')\n", - "\n", - " # All values in the Layer Data are stored as strings, so convert the data to float\n", - " data['value'] = data['value'].astype(float)\n", - "\n", - " # Highlight the graupel layer boundaries as defined by the layer in hand hardness\n", - " ax.axhline(graupel['depth'], color='orange')\n", - " ax.axhline(graupel['bottom_depth'], color='orange')\n", - " \n", - " ax.fill_between(xlims, graupel['bottom_depth'], graupel['depth'], color='orange', alpha=0.1)\n", - "\n", - " # Plot the profile vertically with a black border and blue fill\n", - " ax.plot(data['value'], data['depth'], color='dimgrey', linewidth=1)\n", - " ax.fill_betweenx(data['depth'], data['value'], color='lightsteelblue')\n", - "\n", - " ##### Plot Labeling ######\n", - " \n", - " # Only give the first column a y axis\n", - " if jj != 0:\n", - " ax.yaxis.set_visible(False)\n", - " else:\n", - " ax.set_ylabel('Depth (cm)')\n", - " \n", - " # Only give the bottom row a axis label\n", - " if ii == cols:\n", - " ax.set_xlabel('Force (N)')\n", - " \n", - " # Set our plot limits\n", - " ax.set_xlim(xlims)\n", - " ax.set_ylim(ylims)\n", - " \n", - " else:\n", - " # if the index is over the times, then we have no data, turn off the plot\n", - " ax.axis('off')\n", - "\n", - "# Add a title over all the figures\n", - "fig.suptitle('SMP Profiles higlighting a graupel layer at Site {}\\n{}'.format(site, df['date'].max()).title(), fontsize=16)\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/index.md b/docs/gallery/index.md deleted file mode 100644 index 110d272..0000000 --- a/docs/gallery/index.md +++ /dev/null @@ -1,98 +0,0 @@ -# Gallery - -This is a gallery of examples that you can use to get started with `snowexsql`. - -::::{grid} -:gutter: 3 - -:::{grid-item-card} What is in the database? -:link: what_is_in_the_db_example.html -::: - -:::{grid-item-card} Overview -:link: overview_example.html -::: - -:::{grid-item-card} Getting Started -:link: getting_started_example.html -::: -:::: - -::::{grid} -:gutter: 3 - -:::{grid-item-card} Raster Union and More -:link: raster_union_and_more_example.html - -![Raster union](card-images/raster-union-and-more.png) -::: - -:::{grid-item-card} Plot Raster -:link: plot_raster_example.html - -![Raster Plot](card-images/plot-raster.png) -::: - -:::{grid-item-card} Plot Pit SWE -:link: plot_pit_swe_example.html - -![Plot SWE](card-images/plot-swe.png) -::: -:::: - -::::{grid} -:gutter: 3 - -:::{grid-item-card} Graupel SMP -:link: graupel_smp_example.html - -![Graupel SMP](card-images/graupel-smp.png) -::: - -:::{grid-item-card} Graupel Pits -:link: graupel_pits_example.html - -![Graupel Pits](card-images/graupel-pits.png) -::: - -:::{grid-item-card} Get Spiral -:link: get_spiral_example.html - -![Spiral](card-images/spiral.png) -::: -:::: - -::::{grid} -:gutter: 3 - -:::{grid-item-card} Compare UAVSAR to Depths -:link: compare_UAVSAR_to_depths_example.html - -![UAVSAR depths](card-images/compare-UAVSAR-depths.png) -::: - -:::{grid-item-card} Compare SSA Instruments -:link: compare_SSA_instruments_example.html - -![compare SSA](card-images/compare-SSA-instruments.png) -::: - -:::{grid-item-card} Camera Derive Snow Depths -:link: camera_derive_snow_depths_example.html - -![Camera snow depths](card-images/camera-snow-depths.png) -::: -:::: - -::::{grid} -:gutter: 3 - -:::{grid-item-card} API Intro Example -:link: api_intro_example.html -::: - -:::{grid-item-card} API Plot Pit Density -:link: api_plot_pit_density_example.html -::: - -:::: diff --git a/docs/gallery/lambda_example.ipynb b/docs/gallery/lambda_example.ipynb deleted file mode 100644 index 2d021b2..0000000 --- a/docs/gallery/lambda_example.ipynb +++ /dev/null @@ -1,1103 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "9b0c625a", - "metadata": {}, - "source": [ - "## 🚀 No Credentials Required!\n", - "\n", - "This notebook uses the **SnowEx Lambda Client** with a public Function URL.\n", - "\n", - "**You don't need:**\n", - "- ❌ AWS credentials\n", - "- ❌ Database credentials \n", - "- ❌ Any setup or configuration\n", - "\n", - "**How it works:**\n", - "- The Lambda Function URL is public and accessible to anyone\n", - "- Database credentials are handled securely by AWS Secrets Manager\n", - "- Database only accepts connections from Lambda (not public internet)\n", - "- Just run the cells and start exploring SnowEx data!\n", - "\n", - "---" - ] - }, - { - "cell_type": "markdown", - "id": "d4d8e20d", - "metadata": {}, - "source": [ - "# Lambda Client Examples using the new database schema\n", - "\n", - "These are some initial examples to illustrate how to work with the new database schema using the AWS Lambda client. We will continue updating the existing gallery to follow these patterns." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "aca5a2c4", - "metadata": {}, - "outputs": [], - "source": [ - "from datetime import date\n", - "import geopandas as gpd\n", - "import matplotlib.pyplot as plt\n", - "import contextily as ctx\n", - "import numpy as np\n", - "import pandas as pd\n", - "from shapely.geometry import box\n", - "\n", - "from snowexsql.lambda_client import SnowExLambdaClient" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "15159007", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "🔍 Testing Lambda connection...\n", - "✅ Connected: True\n", - "📊 Database: PostgreSQL 16.10 on x86_64-conda-linux-gnu, compiled by x86_64-conda-linux-gnu-cc (conda-forge gcc 14.3.0-4) 14.3.0, 64-bit\n" - ] - } - ], - "source": [ - "# Initialize client\n", - "client = SnowExLambdaClient()\n", - "\n", - "# Get all measurement classes dynamically\n", - "classes = client.get_measurement_classes()\n", - "PointMeasurements = classes['PointMeasurements']\n", - "LayerMeasurements = classes['LayerMeasurements']\n", - "RasterMeasurements = classes['RasterMeasurements']\n", - "\n", - "\n", - "print(\"🔍 Testing Lambda connection...\")\n", - "connection_test = client.test_connection()\n", - "print(f\"✅ Connected: {connection_test.get('connected', False)}\")\n", - "if connection_test.get('connected'):\n", - " print(f\"📊 Database: {connection_test.get('version', 'Unknown version')}\")\n", - "else:\n", - " print(\"❌ Connection failed\")" - ] - }, - { - "cell_type": "markdown", - "id": "638e23a2", - "metadata": {}, - "source": [ - "## Query and access data using spatial bounding box\n", - "\n", - "Many people will want to explore what types of SnowEx data might be available in a region of interest. Here is an example showing how to do this for layer dataset." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "b5b2a3b9", - "metadata": {}, - "outputs": [], - "source": [ - "# Create polygon from bounding box (minx, miny, maxx, maxy)\n", - "bbox_polygon = box(\n", - " minx=-116.14, # min longitude (west)\n", - " miny=43.73, # min latitude (south)\n", - " maxx=-116.04, # max longitude (east)\n", - " maxy=43.8 # max latitude (north)\n", - ")\n", - "\n", - "# Convert to WKT for query\n", - "bbox_wkt = bbox_polygon.wkt\n", - "\n", - "# Create a GeoDataFrame from the bounding box polygon\n", - "bbox_gdf = gpd.GeoDataFrame([1], geometry=[bbox_polygon], crs='EPSG:4326')\n", - "\n", - "# Reproject to Web Mercator for basemap\n", - "bbox_gdf_web = bbox_gdf.to_crs(epsg=3857)\n" - ] - }, - { - "cell_type": "markdown", - "id": "e7c4b7c8", - "metadata": {}, - "source": [ - "Let's query the database for all the types of data associated with Layer Data:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "cd2cb76d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Available types: ['density', 'grain_size', 'grain_type', 'hand_hardness', 'manual_wetness', 'comments', 'permittivity', 'liquid_water_content', 'snow_temperature', 'force', 'sample_signal', 'reflectance', 'specific_surface_area', 'equivalent_diameter']\n" - ] - } - ], - "source": [ - "# Get all available types first\n", - "all_types = LayerMeasurements.all_types\n", - "print(f\"Available types: {all_types}\")" - ] - }, - { - "cell_type": "markdown", - "id": "756c0036", - "metadata": {}, - "source": [ - "Now we can query the database by area and type. We'll work with snow temperature data." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "4a53cbe1", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Getting layer data within bounding box...\n", - "Retrieved 586 records.\n" - ] - } - ], - "source": [ - "print(\"Getting layer data within bounding box...\")\n", - "df = LayerMeasurements.from_area(\n", - " shp=bbox_polygon,\n", - " date_greater_equal=date(2020, 1, 1),\n", - " date_less_equal=date(2022, 12, 30),\n", - " crs=4326,\n", - " type='snow_temperature',\n", - " limit=600,\n", - " verbose=True\n", - ")\n", - "\n", - "print(f\"Retrieved {len(df)} records.\")" - ] - }, - { - "cell_type": "markdown", - "id": "5e0e5f3d", - "metadata": {}, - "source": [ - "Take a quick look at the data. Note with `verbose=True` we get a lot of associated metadata returned. " - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "bd19f895", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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depthbottom_depthvaluesite_namesite_descriptionslope_angleaspectair_temptotal_depthweather_description...dategeomtypeunitstype_derivedinstrument_nameinstrument_modelinstrument_specificationsgeom_wktgeometry
080.0None0.0IDBRLO_20200304_1210None19.0135.05.890.0scattered clouds, light wind, sunny...2020-03-04T19:10:00+00:000101000020e6100000990d32c9c8075dc08a1f63ee5ade...snow_temperaturedeg cFalseDigital ThermometerNoneNonePOINT(-116.12163 43.73715)POINT (-116.12163 43.73715)
170.0None0.0IDBRLO_20200304_1210None19.0135.05.890.0scattered clouds, light wind, sunny...2020-03-04T19:10:00+00:000101000020e6100000990d32c9c8075dc08a1f63ee5ade...snow_temperaturedeg cFalseDigital ThermometerNoneNonePOINT(-116.12163 43.73715)POINT (-116.12163 43.73715)
260.0None0.0IDBRLO_20200304_1210None19.0135.05.890.0scattered clouds, light wind, sunny...2020-03-04T19:10:00+00:000101000020e6100000990d32c9c8075dc08a1f63ee5ade...snow_temperaturedeg cFalseDigital ThermometerNoneNonePOINT(-116.12163 43.73715)POINT (-116.12163 43.73715)
350.0None0.0IDBRLO_20200304_1210None19.0135.05.890.0scattered clouds, light wind, sunny...2020-03-04T19:10:00+00:000101000020e6100000990d32c9c8075dc08a1f63ee5ade...snow_temperaturedeg cFalseDigital ThermometerNoneNonePOINT(-116.12163 43.73715)POINT (-116.12163 43.73715)
440.0None0.0IDBRLO_20200304_1210None19.0135.05.890.0scattered clouds, light wind, sunny...2020-03-04T19:10:00+00:000101000020e6100000990d32c9c8075dc08a1f63ee5ade...snow_temperaturedeg cFalseDigital ThermometerNoneNonePOINT(-116.12163 43.73715)POINT (-116.12163 43.73715)
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5 rows × 29 columns

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" - ], - "text/plain": [ - " depth bottom_depth value site_name site_description \\\n", - "0 80.0 None 0.0 IDBRLO_20200304_1210 None \n", - "1 70.0 None 0.0 IDBRLO_20200304_1210 None \n", - "2 60.0 None 0.0 IDBRLO_20200304_1210 None \n", - "3 50.0 None 0.0 IDBRLO_20200304_1210 None \n", - "4 40.0 None 0.0 IDBRLO_20200304_1210 None \n", - "\n", - " slope_angle aspect air_temp total_depth \\\n", - "0 19.0 135.0 5.8 90.0 \n", - "1 19.0 135.0 5.8 90.0 \n", - "2 19.0 135.0 5.8 90.0 \n", - "3 19.0 135.0 5.8 90.0 \n", - "4 19.0 135.0 5.8 90.0 \n", - "\n", - " weather_description ... date \\\n", - "0 scattered clouds, light wind, sunny ... 2020-03-04T19:10:00+00:00 \n", - "1 scattered clouds, light wind, sunny ... 2020-03-04T19:10:00+00:00 \n", - "2 scattered clouds, light wind, sunny ... 2020-03-04T19:10:00+00:00 \n", - "3 scattered clouds, light wind, sunny ... 2020-03-04T19:10:00+00:00 \n", - "4 scattered clouds, light wind, sunny ... 2020-03-04T19:10:00+00:00 \n", - "\n", - " geom type units \\\n", - "0 0101000020e6100000990d32c9c8075dc08a1f63ee5ade... snow_temperature deg c \n", - "1 0101000020e6100000990d32c9c8075dc08a1f63ee5ade... snow_temperature deg c \n", - "2 0101000020e6100000990d32c9c8075dc08a1f63ee5ade... snow_temperature deg c \n", - "3 0101000020e6100000990d32c9c8075dc08a1f63ee5ade... snow_temperature deg c \n", - "4 0101000020e6100000990d32c9c8075dc08a1f63ee5ade... snow_temperature deg c \n", - "\n", - " type_derived instrument_name instrument_model \\\n", - "0 False Digital Thermometer None \n", - "1 False Digital Thermometer None \n", - "2 False Digital Thermometer None \n", - "3 False Digital Thermometer None \n", - "4 False Digital Thermometer None \n", - "\n", - " instrument_specifications geom_wkt \\\n", - "0 None POINT(-116.12163 43.73715) \n", - "1 None POINT(-116.12163 43.73715) \n", - "2 None POINT(-116.12163 43.73715) \n", - "3 None POINT(-116.12163 43.73715) \n", - "4 None POINT(-116.12163 43.73715) \n", - "\n", - " geometry \n", - "0 POINT (-116.12163 43.73715) \n", - "1 POINT (-116.12163 43.73715) \n", - "2 POINT (-116.12163 43.73715) \n", - "3 POINT (-116.12163 43.73715) \n", - "4 POINT (-116.12163 43.73715) \n", - "\n", - "[5 rows x 29 columns]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.head()" - ] - }, - { - "cell_type": "markdown", - "id": "835101f2", - "metadata": {}, - "source": [ - "Now plot on a basemap." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "588cf2f5", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Reproject to Web Mercator for basemap\n", - "df_web = df.to_crs(epsg=3857)\n", - "bbox_web = bbox_gdf.to_crs(epsg=3857)\n", - "\n", - "# Plot\n", - "fig, ax = plt.subplots(figsize=(12, 10))\n", - "\n", - "# Plot the data points\n", - "df_web.plot(ax=ax, color='blue', markersize=20, alpha=0.6, label='Layer Measurements')\n", - "\n", - "# Plot bounding box\n", - "bbox_web.boundary.plot(ax=ax, color='red', linewidth=2, label='Query Area')\n", - "\n", - "# Add basemap\n", - "ctx.add_basemap(ax, source=ctx.providers.OpenStreetMap.Mapnik, alpha=0.5)\n", - "\n", - "ax.set_xlabel('Easting')\n", - "ax.set_ylabel('Northing')\n", - "ax.set_title(f'Layer Measurements within Bounding Box (n={len(df)})')\n", - "ax.legend()\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "c5389717", - "metadata": {}, - "source": [ - "Let's look at what the query returns for columns. Note that the 'value' column is the measured value associated with the variable type you requested in the `from_area` query above. Note that it also returns values as strings, so we'll need to convert to numeric below. " - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "e0dd1fc7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['depth', 'bottom_depth', 'value', 'site_name', 'site_description',\n", - " 'slope_angle', 'aspect', 'air_temp', 'total_depth',\n", - " 'weather_description', 'precip', 'sky_cover', 'wind',\n", - " 'ground_condition', 'ground_roughness', 'ground_vegetation',\n", - " 'vegetation_height', 'tree_canopy', 'site_comments', 'date', 'geom',\n", - " 'type', 'units', 'type_derived', 'instrument_name', 'instrument_model',\n", - " 'instrument_specifications', 'geom_wkt', 'geometry'],\n", - " dtype='object')" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.columns" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "655eeecd", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Depth range: 0.0 - 190.0 cm\n", - "Temperature range: -8.9 - 0.2 °C\n", - "Number of depth bands: 31\n" - ] - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "# Convert value to numeric, coercing errors to NaN\n", - "df['value'] = pd.to_numeric(df['value'], errors='coerce')\n", - "\n", - "# Remove any NaN values that resulted from conversion\n", - "df = df.dropna(subset=['value', 'depth'])\n", - "\n", - "# Create depth bands (bins) every 5 cm\n", - "bin_width = 5.0\n", - "min_depth = np.floor(df['depth'].min())\n", - "max_depth = np.ceil(df['depth'].max())\n", - "bins = np.arange(min_depth, max_depth + bin_width, bin_width)\n", - "\n", - "# Assign each measurement to a depth band\n", - "df['depth_band'] = pd.cut(df['depth'], bins=bins, labels=bins[:-1] + bin_width/2, include_lowest=True)\n", - "\n", - "# Get unique depth bands\n", - "depth_bands = sorted(df['depth_band'].dropna().unique())\n", - "\n", - "# Prepare data for box plot - group by depth band\n", - "data_by_band = [df[df['depth_band'] == band]['value'].values for band in depth_bands]\n", - "\n", - "# Create the plot\n", - "fig, ax = plt.subplots(figsize=(12, 8))\n", - "\n", - "# Create box plot\n", - "bp = ax.boxplot(data_by_band, positions=depth_bands, vert=False, \n", - " patch_artist=True, widths=3.0)\n", - "\n", - "# Customize box colors\n", - "for patch in bp['boxes']:\n", - " patch.set_facecolor('lightblue')\n", - " patch.set_alpha(0.7)\n", - "\n", - "# Invert y-axis so depth increases downward\n", - "ax.invert_yaxis()\n", - "\n", - "ax.set_xlabel('Temperature (°C)', fontsize=12)\n", - "ax.set_ylabel('Depth (cm)', fontsize=12)\n", - "ax.set_title(f'Snow Temperature vs Depth (5 cm bands, n={len(df)} measurements)', fontsize=14)\n", - "ax.grid(True, alpha=0.3, axis='x')\n", - "\n", - "# Add legend explaining box plot elements\n", - "from matplotlib.lines import Line2D\n", - "legend_elements = [\n", - " Line2D([0], [0], color='lightblue', marker='s', markersize=10, \n", - " label='Box: 25th-75th percentile', linestyle=''),\n", - " Line2D([0], [0], color='orange', marker='|', markersize=10, \n", - " label='Median', linestyle='', markeredgewidth=2),\n", - " Line2D([0], [0], color='black', marker='o', markersize=6, \n", - " label='Outliers', linestyle='', markerfacecolor='white')\n", - "]\n", - "ax.legend(handles=legend_elements, loc='best', fontsize=10)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n", - "# Print summary statistics\n", - "print(f\"\\nDepth range: {df['depth'].min():.1f} - {df['depth'].max():.1f} cm\")\n", - "print(f\"Temperature range: {df['value'].min():.1f} - {df['value'].max():.1f} °C\")\n", - "print(f\"Number of depth bands: {len(depth_bands)}\")" - ] - }, - { - "cell_type": "markdown", - "id": "1fd910e8", - "metadata": {}, - "source": [ - "## Point Data\n", - "\n", - "Let's see what types of point data are available:" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "779cdc44", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Available types: ['two_way_travel', 'depth', 'swe', 'density']\n" - ] - } - ], - "source": [ - "# Get all available types first\n", - "all_types = PointMeasurements.all_types\n", - "print(f\"Available types: {all_types}\")" - ] - }, - { - "cell_type": "markdown", - "id": "f3157140", - "metadata": {}, - "source": [ - "Let's work with depth data on Grand Mesa." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "7b24ceaa", - "metadata": {}, - "outputs": [], - "source": [ - "# Create polygon from bounding box (minx, miny, maxx, maxy)\n", - "bbox_polygon = box(\n", - " minx=-108.195487,\n", - " miny=39.031819,\n", - " maxx=-108.189329,\n", - " maxy=39.036568\n", - ")\n", - "\n", - "# Convert to WKT for query\n", - "bbox_wkt = bbox_polygon.wkt\n", - "\n", - "# Create a GeoDataFrame from the bounding box polygon\n", - "bbox_gdf = gpd.GeoDataFrame([1], geometry=[bbox_polygon], crs='EPSG:4326')\n", - "\n", - "# Reproject to Web Mercator for basemap\n", - "bbox_gdf_web = bbox_gdf.to_crs(epsg=3857)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "c6d895ff", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Getting layer data within bounding box...\n", - "Retrieved 30000 records.\n" - ] - } - ], - "source": [ - "print(\"Getting layer data within bounding box...\")\n", - "df = PointMeasurements.from_area(\n", - " shp=bbox_polygon,\n", - " crs=4326,\n", - " type='depth',\n", - " limit=30000,\n", - " verbose=False\n", - ")\n", - "\n", - "print(f\"Retrieved {len(df)} records.\")" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "e7b8287e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " id value datetime elevation \\\n", - "0 1264978 99.878703 2020-01-28T16:15:51+00:00 3040.731 \n", - "1 1264979 101.096736 2020-01-28T16:15:51+00:00 3040.737 \n", - "2 1264980 101.096736 2020-01-28T16:15:52+00:00 3040.744 \n", - "3 1264981 101.096736 2020-01-28T16:15:52+00:00 3040.749 \n", - "4 1264982 101.096736 2020-01-28T16:15:52+00:00 3040.754 \n", - "\n", - " geom \\\n", - "0 0101000020e610000081a765bb370c5bc023015b096684... \n", - "1 0101000020e610000066d39cbc370c5bc02285b1066684... \n", - "2 0101000020e61000006163e0bd370c5bc004a208046684... \n", - "3 0101000020e61000007f5524bf370c5bc0d26a4c016684... \n", - "4 0101000020e610000063815bc0370c5bc0b4eea2fe6584... \n", - "\n", - " geometry \n", - "0 POINT (-108.1909 39.03436) \n", - "1 POINT (-108.1909 39.03436) \n", - "2 POINT (-108.1909 39.03436) \n", - "3 POINT (-108.1909 39.03436) \n", - "4 POINT (-108.1909 39.03436) " - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "6cfbb523", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Reproject to Web Mercator for basemap\n", - "df_web = df.to_crs(epsg=3857)\n", - "bbox_web = bbox_gdf.to_crs(epsg=3857)\n", - "\n", - "# Plot\n", - "fig, ax = plt.subplots(figsize=(12, 10))\n", - "\n", - "# Plot the data points\n", - "df_web.plot(ax=ax, color='blue', markersize=20, alpha=0.6, label='Layer Measurements')\n", - "\n", - "# Plot bounding box\n", - "bbox_web.boundary.plot(ax=ax, color='red', linewidth=2, label='Query Area')\n", - "\n", - "# Add basemap\n", - "ctx.add_basemap(ax, source=ctx.providers.OpenStreetMap.Mapnik, alpha=0.5)\n", - "\n", - "ax.set_xlabel('Easting')\n", - "ax.set_ylabel('Northing')\n", - "ax.set_title(f'Layer Measurements within Bounding Box (n={len(df)})')\n", - "ax.legend()\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "3a9d4095", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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Create an overview DEM with hillShade\n", - "2. Grab locations of single location type data\n", - "3. Grab centroids of all the raster tiles\n", - "4. Plot it all!\n", - "\n", - "## Process:\n", - "\n", - "### Step 1. Create an Overview Raster with HillShade" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from snowexsql.db import get_db\n", - "from snowexsql.data import ImageData, LayerData, PointData, SiteData \n", - "from snowexsql.conversions import raster_to_rasterio\n", - "from rasterio.plot import show\n", - "from sqlalchemy.sql import func\n", - "from geoalchemy2.types import Raster\n", - "import geoalchemy2.functions as gfunc\n", - "import matplotlib.pyplot as plt \n", - "import geopandas as gpd\n", - "from shapely.geometry import Polygon\n", - "from geoalchemy2.shape import from_shape, to_shape\n", - "\n", - "# Connect to the database we made.\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "engine, session = get_db(db_name, credentials='./credentials.json')\n", - "\n", - "# DEM data name and surveyor\n", - "data_name = 'DEM'\n", - "observers = 'USGS'\n", - "\n", - "# Resolution to make our DEM/Hillshade\n", - "res = 20\n", - "\n", - "# Form a polygon to clip at the max extent (figured out in advance)\n", - "x1 = 735200.0\n", - "x2 = 760000.0\n", - "y1 = 4319989.0\n", - "y2 = 4329803.0\n", - "\n", - "extent = Polygon([[x1, y1], [x1, y2], [x2, y2], [x2, y1]]) # Construct it using shapely\n", - "\n", - "# Make the polygon usable to the db\n", - "extent_ewkt = from_shape(extent, srid=26912).ST_AsEWKT()\n", - "\n", - "# Make polygon plottable for later\n", - "extent_df = gpd.GeoDataFrame({'geometry':[extent]}) " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Define a function to reduce the same code used for getting the dem and hillshade\n", - "def filter_and_return(session, base, data_name, observers, extent):\n", - " '''\n", - " Small function to apply redundent filters and raster making\n", - " '''\n", - " # Save our query as a Tiff and clip it along the extents polygon\n", - " q = session.query(func.ST_AsTiff(func.ST_Clip(base, extent)))\n", - " \n", - " # Filter by data name and surveyor\n", - " q = q.filter(ImageData.type == data_name)\n", - " q = q.filter(ImageData.observers == observers)\n", - " \n", - " # Execute the query\n", - " rasters = q.all()\n", - " \n", - " # Convert the dataset from the DB to rasterio\n", - " dataset = raster_to_rasterio(session, rasters)[0]\n", - " return dataset" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Create the base query to reduce code: Collect Rasters and rescale them to our resolution and use bilinear interpolation \n", - "bq = func.ST_Rescale(ImageData.raster, res, -1 * res, 'blinear')\n", - "\n", - "# Retrieve the dem, join all the tiles retrieved\n", - "base = gfunc.ST_Union(bq, type_=Raster) # Is NOT EXECUTED until query is executed.\n", - "dem = filter_and_return(session, base, data_name, observers, extent_ewkt) \n", - "\n", - "# Merge all the tiles retrieved, then make the hillshade.\n", - "base = func.ST_Hillshade(gfunc.ST_Union(bq, type_=Raster)) # Is NOT EXECUTED until query is executed.\n", - "hillshade = filter_and_return(session, base, data_name, observers, extent_ewkt)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2. Grab locations of single location type data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Write a function to retrieve positional points of data\n", - "def grab_points(session, TableClass, data_name, distinct=False, instrument=None, downsample=None):\n", - " \"\"\"\n", - " Returns a dataframe of geometric points of requested data. Use distinct to avoid collecting \n", - " identical locations from layer data. Use instrument to isolate snow depths\n", - " \n", - " Returns: df: Geopandas dataframe with one column geometry for plotting\n", - " \"\"\"\n", - " q = session.query(TableClass.geom).filter(TableClass.type == data_name)\n", - " \n", - " if instrument != None:\n", - " \n", - " # Filter by what instruments are in a list provided\n", - " if type(instrument) == list:\n", - " q = q.filter(TableClass.instrument.in_(instrument))\n", - " else:\n", - " q = q.filter(TableClass.instrument == instrument)\n", - " \n", - " if downsample is not None:\n", - " # Only sample some of the data \n", - " q = q.filter(TableClass.id % downsample == 0)\n", - " if distinct:\n", - " q = q.distinct()\n", - " \n", - " points = q.all()\n", - " \n", - " # Make the points into a geopandas dataframe so we can easily plot it\n", - " df = gpd.GeoDataFrame({'geometry':[to_shape(p[0]) for p in points]})\n", - " print('Found {} points for {}...'.format(len(df.index), data_name))\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# Show all instruments used to gather snow depths\n", - "tools = session.query(PointData.instrument).filter(PointData.type == 'depth').distinct().all()\n", - "\n", - "# Grab our pits by selecting hand hardness profiles\n", - "data = {}\n", - "\n", - "# Use distinct locations from hand hardness profiles to get pit locations\n", - "pits = grab_points(session, LayerData, 'hand_hardness', distinct=True)\n", - "\n", - "# Get distinct locations of smp profiles\n", - "smp = grab_points(session, LayerData, 'force', distinct=True)\n", - "\n", - "# Grab all snow depths collected with magnaprobe, mesa, or a pit rule\n", - "depths = grab_points(session, PointData, 'depth', instrument=['magnaprobe', 'mesa'])\n", - "\n", - "# Grab all the GPR point data\n", - "gpr = grab_points(session, PointData, 'two_way_travel', downsample=100)\n", - "\n", - "# Grab all the camera locations point data\n", - "cameras = grab_points(session, PointData, 'depth', instrument=['camera'], distinct=True)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3. Grab centroids of all the raster tiles" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Define a function to grab the center of each raster tile\n", - "def get_tile_centers(session, data_name, observers=None):\n", - " '''\n", - " Simple function to grab the center of each tile given a data type and optionally a surveyor name\n", - " '''\n", - " # Use database to grab the centroid of each tile outline (envelope) filtering on type. Also return the surveyor.\n", - " q = session.query(func.ST_Centroid(func.ST_Envelope(ImageData.raster))).filter(ImageData.type == data_name)\n", - " \n", - " # If observers is provided, filter on that too\n", - " if observers != None:\n", - " q = q.filter(ImageData.observers == observers)\n", - " \n", - " centers = q.all()\n", - " \n", - " # Form the data into plottable geopandas dataframe with only a geometry column\n", - " df = gpd.GeoDataFrame({'geometry':[to_shape(p[0]) for p in centers]})\n", - " print('Found {} tiles for {}...'.format(len(df.index), data_name))\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Grab all the names of the raster data so we know what to reference\n", - "names = session.query(ImageData.type).distinct().all()\n", - "\n", - "# Use the get_tile_centers function to grab the dataframe containing the tile centroids and assign a color and marker to it for plotting\n", - "tiles = {}\n", - "\n", - "# Grab all the ASO DEM centers, assign color as blue and use squares for symbols\n", - "tiles['ASO Depths'] = (get_tile_centers(session, 'depth', observers='ASO Inc.'), 'steelblue', 's')\n", - "# tiles['ASO SWE'] = (get_tile_centers(session, 'swe', observers='ASO Inc.'), 'plum', 's')\n", - "\n", - "# Grab all the USGS DEM centers, assign color as light red and use pentagons for symbols\n", - "tiles['USGS DEM'] = (get_tile_centers(session, 'DEM', observers='USGS'), 'plum','p')\n", - "\n", - "# Grab all the insar data centers, assign color as some shade of orange and use diamonds for symbols\n", - "tiles['INSAR Amplitudes'] = (get_tile_centers(session, 'insar amplitude'), 'gold', 'D')\n", - "tiles['INSAR Derived'] = (get_tile_centers(session, 'insar interferogram real'), 'goldenrod', 'D') # Since imaginary and real are in the same location we only need one of them\n", - "# tiles['INSAR Correlation.'] = (get_tile_centers(session, 'insar correlation'), 'bisque', 'D')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "metadata = {'instrument': [], 'date':[],'doi':[]}\n", - "\n", - "for k in metadata.keys():\n", - " for tbl in [PointData, LayerData, ImageData]:\n", - " print(f'Counting {k} in {tbl.__name__}...')\n", - " \n", - " metadata[k] += [v[0] for v in session.query(getattr(tbl,k)).filter(getattr(tbl,k).isnot(None)).distinct()]\n", - "\n", - " metadata[k] = list(set(metadata[k]))\n", - "\n", - "# Find all observers (Temporarily not working because surveyor upload is incorrect)\n", - "metadata['observers'] = []\n", - "\n", - "for tbl in [PointData, LayerData, ImageData]:\n", - " print(f'Counting observers in {tbl.__name__}...')\n", - " \n", - " # Manage multiple names in the surveyor\n", - " observers = session.query(tbl.observers).filter(tbl.observers.isnot(None)).distinct().all()\n", - " for name in observers:\n", - " if ',' in name[0] and 'JPL' not in name[0]:\n", - " metadata['observers'] += name[0].split(',')\n", - " elif '&' in name[0]:\n", - " metadata['observers'] += name[0].split('&')\n", - " else:\n", - " metadata['observers'] += [name[0]]\n", - "\n", - "metadata['observers'] = len(list(set(metadata['observers'])))\n", - "metadata['date'] = (min(metadata['date']).strftime('%Y-%m-%d'), max(metadata['date']).strftime('%Y-%m-%d'))\n", - "metadata['instrument'] = len(metadata['instrument'])\n", - "metadata['doi'] = len(metadata['doi'])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 4. Plot it all!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "tags": [ - "nbsphinx-thumbnail", - "nbsphinx-gallery" - ] - }, - "outputs": [], - "source": [ - "# Create a figure with one subplot. Give it size\n", - "fig, ax = plt.subplots(1,1, figsize=(32, 16))\n", - "\n", - "# Plot the hillshade raster in gray\n", - "show(hillshade, ax=ax, cmap='gray', transform=hillshade.transform)\n", - "\n", - "# Plot the DEM with partial transparency so the hillshade can be seen\n", - "show(dem, ax=ax, alpha=0.5, cmap='terrain', transform=dem.transform)\n", - "\n", - "# Plot raster centers \n", - "for n, d in tiles.items():\n", - " df = d[0]\n", - " color = d[1]\n", - " marker = d[2]\n", - " \n", - " # Filter the data only to our map extent defined in the beginning\n", - " ind = df.geometry.within(extent)\n", - " \n", - " # Plot with a name that shows the total tiles not just the tiles in the extent.\n", - " df.loc[ind].plot(ax=ax, marker=marker, markersize=30, edgecolor='black', alpha=0.5, color=color, label='{} tiles of {}'.format(len(df.index), n))\n", - "\n", - "# Plot the GRP points as orange pixels\n", - "gpr.plot(ax=ax, marker=',' , color='orange', markersize=1, label='{} GPR Points'.format(len(gpr.index)))\n", - "\n", - "# Plot the snow depths using aqua colored pixels\n", - "depths.plot(ax=ax, marker=',' , color='aqua', markersize=1, label='{} Manual Depths'.format(len(depths.index)))\n", - "\n", - "# Plot the pits as magenta triangles \n", - "pits.plot(ax=ax, marker='^' , color='magenta', edgecolor='black', markersize=70, label=' {} pits'.format(len(pits.index)))\n", - "\n", - "# Plot the SMP positions with a red plus\n", - "smp.plot(ax=ax, marker='+' , color='lightgreen', markersize=5, label='{} SMP Profiles'.format(len(smp.index)))\n", - "\n", - "# Plot the pits as magenta triangles \n", - "cameras.plot(ax=ax, marker='s' , color='lime', edgecolor='black', markersize=70, label=' {} Camera Traps (not all shown)'.format(len(cameras.index)))\n", - "\n", - "# Don't use scientific notation on the axis ticks\n", - "ax.ticklabel_format(style='plain', useOffset=False)\n", - "\n", - "# Add some labeling\n", - "ax.legend(loc='lower right', fontsize='xx-large', framealpha=1.0)\n", - "ax.set_title('Overview of Measurements in the SnowEx Database for Grand Mesa', size=20)\n", - "ax.set_xlabel('Easting [m]', size=20)\n", - "ax.set_ylabel('Northing [m]', size=20)\n", - "\n", - "ax.set_xlim([extent.bounds[0], extent.bounds[2]])\n", - "ax.set_ylim([extent.bounds[1], extent.bounds[3]])\n", - "\n", - "\n", - "# Add a block showing off details \n", - "\n", - "\n", - "textstr = '\\n'.join([f\"No. observers: {metadata['observers']}\",\n", - " f\"No. Instruments: {metadata['instrument']}\", \n", - " f\"Temporal Extent: {metadata['date'][0]} - {metadata['date'][1]}\",\n", - " f\"Published Datasets: {metadata['doi']}\"])\n", - " \n", - "props = dict(boxstyle='round', facecolor='white', alpha=0.9)\n", - "\n", - "# place a text box in upper left in axes coords\n", - "s = ax.text(0.78, 0.95, textstr, transform=ax.transAxes, fontsize='xx-large',\n", - " verticalalignment='top', bbox=props)\n", - "\n", - "\n", - "# Save the figure if you want\n", - "#plt.savefig('/SOME/LOCATION/')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "session.close()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.0" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/plot_pit_swe_example.ipynb b/docs/gallery/plot_pit_swe_example.ipynb deleted file mode 100644 index b502663..0000000 --- a/docs/gallery/plot_pit_swe_example.ipynb +++ /dev/null @@ -1,182 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Plot SWE From Pits \n", - "\n", - "**Goal**: Calculate SWE from the Density Profiles and plot them\n", - "\n", - "**Approach**:\n", - "\n", - "1. Grab All the site ids and dates associated to all the density data\n", - "2. Calculate SWE for each layer and sum them up \n", - "3. plot it!\n", - "\n", - "\n", - "## Process \n", - "\n", - "\n", - "### Step 1. Grab all Density profiles and Calculate SWE" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "from snowexsql.data import LayerData\n", - "from snowexsql.db import get_db\n", - "from snowexsql.conversions import query_to_geopandas\n", - "import geopandas as gpd\n", - "import matplotlib.pyplot as plt\n", - "from geoalchemy2.shape import to_shape\n", - "import pandas as pd\n", - "\n", - "# Connect to the database we made.\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "engine, session = get_db(db_name, credentials='./credentials.json')\n", - "\n", - "q = session.query(LayerData).filter(LayerData.type == 'density')\n", - "df = query_to_geopandas(q, engine)\n", - "\n", - "# Convert density to float\n", - "df['value'] = df['value'].astype(float)\n", - "\n", - "# Calculate SWE\n", - "swe_lambda = lambda row: row['value'] * (row['depth'] - row['bottom_depth']) / 100\n", - "df['swe'] = df.apply(swe_lambda, axis=1)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2. Prepare SWE as point data" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Prepare the data to be a single point by summing the SWE by site and date\n", - "point_swe = gpd.GeoDataFrame(columns=['date', 'swe', 'geometry'])\n", - "\n", - "sites = df['site_id'].unique().tolist()\n", - "\n", - "# Loop over data by site and date\n", - "for site in sites:\n", - " ind1 = df['site_id'] == site\n", - " dates = df['date'][ind1].unique().tolist()\n", - "\n", - " for date in dates:\n", - " # Grab all density at this site and date\n", - " ind2= df['date'] == date\n", - " \n", - " profile = df[ind1 & ind2]\n", - " \n", - " # Check if there is data on this date/site\n", - " if len(profile.index) > 0:\n", - "\n", - " # sum the swe column and assign data to a dictionary\n", - " data = {'swe': profile['swe'].sum(), 'geometry': profile['geom'].iloc[0], 'date': date}\n", - "\n", - " # Add the data to a dataframe\n", - " point_swe = point_swe.append(data, ignore_index=True)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3. Plot the SWE as points coloring by mass" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "tags": [ - "nbsphinx-gallery", - "nbsphinx-thumbnail" - ] - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Build a singl plot\n", - "fig, ax = plt.subplots(figsize=(8,8))\n", - "\n", - "# Colorbar keyword arguments\n", - "kwds = {'label': \"Snow Water Equivalence [mm]\", 'orientation': \"horizontal\"}\n", - "\n", - "# Plot it all up as a scatter using SWE as the color\n", - "ax = point_swe.plot(ax=ax, column='swe', cmap='cool', markersize=100, legend=True, edgecolor='k',legend_kwds=kwds)\n", - "\n", - "# Set some style/ labeling choices\n", - "ax.ticklabel_format(style='plain', useOffset=False)\n", - "ax.set_xlabel('Easting [m]')\n", - "ax.set_ylabel('Northing [m]')\n", - "\n", - "title = 'Grand Mesa Pit SWE\\n{} - {}'.format(point_swe['date'].min(), point_swe['date'].max())\n", - "ax.set_title(title, fontsize=16)\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# Close the session to avoid hanging transactions\n", - "session.close()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/plot_raster_example.ipynb b/docs/gallery/plot_raster_example.ipynb deleted file mode 100644 index 4ff04d6..0000000 --- a/docs/gallery/plot_raster_example.ipynb +++ /dev/null @@ -1,190 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Find A Raster Tile\n", - "\n", - "**Goal**: Find the raster tile your pit falls in.\n", - "\n", - "**Approach**: \n", - "1. Grab the pit location from the a pit layer in the database\n", - "2. Perform an intersect on all raster tiles with the pit location \n", - "3. Plot \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 1. Grab the pit location from the layer data" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "from snowexsql.db import get_db\n", - "from snowexsql.data import ImageData, LayerData\n", - "from rasterio.plot import show\n", - "from sqlalchemy.sql import func\n", - "import geoalchemy2.functions as gfunc\n", - "from geoalchemy2.shape import to_shape\n", - "from rasterio import MemoryFile\n", - "import matplotlib.pyplot as plt\n", - "import geopandas as gpd\n", - "from snowexsql.conversions import raster_to_rasterio\n", - "\n", - "# PIT Site Identifier\n", - "site_id = '5S31'\n", - "\n", - "# Connect to the database we made.\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "engine, session = get_db(db_name, credentials='./credentials.json')\n", - "\n", - "# Grab our pit layers by site id\n", - "q = session.query(LayerData).filter(LayerData.site_id == site_id)\n", - "layers = q.all()\n", - "\n", - "# Grab the pit location from a single layerdata entry\n", - "p = layers[0].geom\n", - "p_shp = to_shape(p)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2. Perform an intersect on all raster tiles with the pit location " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Grabbing rasters that overlap on the point POINT (745458 4322762)\n" - ] - } - ], - "source": [ - "# Grab the raster as a tile that intersects with our pit and convert it to a geotiff\n", - "print('Grabbing rasters that overlap on the point {}'.format(p_shp))\n", - "\n", - "# Grab the returned raster as a tiff\n", - "q = session.query(func.ST_AsTiff(ImageData.raster)).filter(ImageData.observers=='ASO Inc.')\n", - "q = q.filter(ImageData.type=='depth')\n", - "\n", - "# Filter rasters by where a tile intersects wihtour pit location\n", - "rasters = q.filter(gfunc.ST_Intersects(ImageData.raster, p)).all()\n", - "\n", - "# Convert it to a rasterio dataset for easy plotting\n", - "dataset = raster_to_rasterio(session, rasters)[0]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3. Plot it up! " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "tags": [ - "nbsphinx-thumbnail", - "nbsphinx-gallery" - ] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig,ax = plt.subplots(figsize=(10,10))\n", - "\n", - "# Plot the rasterio dataset\n", - "tile = dataset.read(1)\n", - "show(tile, ax=ax, transform=dataset.transform, cmap='winter', vmin=0, vmax=1.2) \n", - "fig.colorbar(ax.images[0])\n", - "\n", - "# Add to our plot the pit location\n", - "gpd.GeoSeries(p_shp).plot(ax=ax, color='m', edgecolor='black', markersize=200, marker='^', label=\"Site {}\".format(site_id))\n", - "\n", - "# Add some labeling\n", - "ax.ticklabel_format(style='plain', useOffset=False)\n", - "ax.set_xlabel('Easting [m]')\n", - "ax.set_ylabel('Northing [m]')\n", - "ax.set_title('Pit {} and Corresponding ASO Snow Depth Tile'.format(site_id))\n", - "ax.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# Close the session to avoid hanging transactions\n", - "session.close()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/raster_union_and_more_example.ipynb b/docs/gallery/raster_union_and_more_example.ipynb deleted file mode 100644 index 843a4d4..0000000 --- a/docs/gallery/raster_union_and_more_example.ipynb +++ /dev/null @@ -1,247 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# A Raster Union and More Example\n", - "\n", - "**Goal**: Plot all raster tiles within a radius of a site. \n", - "**Bonus**: Plot all pit locations that fall in the same radius AND dem contours\n", - "\n", - "**Approach**: \n", - "\n", - "1. Get site location geometry\n", - "2. Build a polygon of a circle of X meters radius centered on our pit\n", - "3. Grab all raster tiles that intersect our circle, and union them as a tiff. \n", - "4. Build a geopandas dataframe with the pits in the circle. \n", - "5. Plot it!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Process\n", - "### Step 1. Get our desired pit location from the SiteData table" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from snowexsql.db import get_db\n", - "from snowexsql.data import ImageData, SiteData\n", - "from rasterio.plot import show\n", - "from sqlalchemy.sql import func\n", - "import geoalchemy2.functions as gfunc\n", - "from geoalchemy2.types import Raster\n", - "from geoalchemy2.shape import to_shape\n", - "import geopandas as gpd\n", - "from snowexsql.conversions import raster_to_rasterio\n", - "from snowexsql.conversions import points_to_geopandas, query_to_geopandas\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "# Pit Site Identifier of interest\n", - "site_id = '5N19'\n", - "\n", - "# Distance around the pit to collect data in meters\n", - "buffer_dist = 400\n", - "\n", - "# Connect to the database we made.\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "engine, session = get_db(db_name, credentials='./credentials.json')\n", - "\n", - "datasets = []\n", - "\n", - "# Grab our sites details by site id\n", - "q = session.query(SiteData).filter(SiteData.site_id==site_id)\n", - "sites = q.all()\n", - "\n", - "# Grab the pit location from a single layer\n", - "p = sites[0].geom\n", - "\n", - "# Convert the point to a pyshapely\n", - "pit = to_shape(p)\n", - "\n", - "# Convert it to a geopandas dataframe for easy plotting \n", - "df_pit = gpd.GeoSeries(pit)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2. Create a circle with radius of 400m centered on our pit" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Create a polygon buffered by our distance centered on the pit\n", - "q = session.query(gfunc.ST_Buffer(p, buffer_dist))\n", - "buffered_pit = q.all()[0][0]\n", - "\n", - "# Convert to a shapely shapefile object \n", - "circle = to_shape(buffered_pit)\n", - "\n", - "# Convert to a geopandas dataframe\n", - "df_circle = gpd.GeoSeries(circle)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3. Union all Bare Earth DEM tiles touching our buffer circle" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# Grab the rasters, union them and convert them as tiff when done\n", - "q = session.query(func.ST_AsTiff(func.ST_Union(ImageData.raster, type_=Raster)))\n", - "\n", - "# Only grab rasters that are the bare earth DEM from USGS\n", - "q = q.filter(ImageData.type == 'DEM').filter(ImageData.observers=='USGS')\n", - "\n", - "# And grab rasters touching the circle\n", - "q = q.filter(gfunc.ST_Intersects(ImageData.raster, buffered_pit))\n", - "\n", - "# Execute the query\n", - "rasters = q.all()\n", - "\n", - "# Get the rasterio object of the raster\n", - "dataset = raster_to_rasterio(session, rasters)[0]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 4. Grab all site locations in the circle" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# Form a query for retrieving the sites that are within the circle\n", - "q = session.query(SiteData.geom).filter(gfunc.ST_Within(SiteData.geom, buffered_pit))\n", - "\n", - "# Create a geopandas dataframe of SiteData geometry in the circle\n", - "nearby_pits = query_to_geopandas(q, engine)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 5. Plot the dem, with the pits overlaid. " - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "tags": [ - "nbsphinx-thumbnail", - "nbsphinx-gallery" - ] - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Create a single plot to add everything to\n", - "fig, ax = plt.subplots(figsize=(8,8))\n", - "\n", - "# Plot the DEM \n", - "img = show(dataset.read(1), ax=ax, transform=dataset.transform, cmap='terrain')\n", - "\n", - "# Plot the contours of the DEM (Just for kicks!) at 10m intervals\n", - "show(dataset.read(1), contour=True, levels=[s for s in np.arange(3000, 4000, 10)], colors='dimgray', ax=ax, transform=dataset.transform)\n", - "\n", - "# Plot the circle as blue with slight transparency\n", - "df_circle.plot(ax=ax, color='b', alpha=0.4, edgecolor='black')\n", - "\n", - "# Plot the nearby pits as purple triangles\n", - "nearby_pits.plot(ax=ax, color='purple', marker='^', label='Nearby Pits', edgecolor='black', markersize=150)\n", - "\n", - "# Plot pit as a red triangle\n", - "df_pit.plot(ax=ax, color='r', marker='^', label=site_id, edgecolor='black', markersize=150)\n", - "\n", - "# Don't use scientific notation on the axis ticks\n", - "ax.ticklabel_format(style='plain', useOffset=False)\n", - "\n", - "# Add x/y labels, a title, a legend and avoid overlapping labels\n", - "ax.set_xlabel('Easting [m]')\n", - "ax.set_ylabel('Northing [m]')\n", - "ax.set_title('Pit {} w/ {}m Radius Circle on USGS DEM'.format(site_id, buffer_dist))\n", - "ax.legend()\n", - "plt.tight_layout()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# Close the dataset and end the database session\n", - "dataset.close()\n", - "session.close()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/gallery/what_is_in_the_db_example.ipynb b/docs/gallery/what_is_in_the_db_example.ipynb deleted file mode 100644 index f1731e0..0000000 --- a/docs/gallery/what_is_in_the_db_example.ipynb +++ /dev/null @@ -1,241 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "39453dd1", - "metadata": {}, - "source": [ - "# What's in the Database?\n", - "\n", - "Below is a simple count of what is in the database. \n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "a3d24b6c", - "metadata": {}, - "outputs": [], - "source": [ - "# Import all the python db table reflections \n", - "from snowexsql.data import SiteData, PointData, LayerData, ImageData\n", - "\n", - "# Import the function to get access\n", - "from snowexsql.db import get_db\n", - "\n", - "\n", - "def get_all_distinct(attribute):\n", - " \"\"\"\n", - " Function to count all the unique & valid entries of a column \n", - " in a table. \n", - " \"\"\"\n", - " final = {}\n", - " final['Total'] = 0\n", - "\n", - " # Loop over all the tables\n", - " tables = [PointData, LayerData, ImageData]\n", - " for tbl_cls in tables:\n", - " \n", - " # Grab the column from the table class\n", - " obj_att = getattr(tbl_cls, attribute)\n", - " \n", - " # Count all the distinct and non-None values\n", - " result = session.query(obj_att).filter(obj_att != None).distinct().count()\n", - " \n", - " # Save the result and keep track of the total\n", - " final[tbl_cls.__name__] = result\n", - " final['Total'] += result \n", - "\n", - " return final \n", - "\n", - "\n", - "def print_result(count_dict):\n", - " \"\"\"\n", - " Simple function to print out the counts nicely\n", - " \"\"\"\n", - " \n", - " print('\\nDB Table Breakdown:')\n", - " for k in ['PointData', 'LayerData', 'ImageData']:\n", - " print(f'\\t* {k} = {count_dict[k]}')\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "f597e21d", - "metadata": {}, - "outputs": [], - "source": [ - "# Get connection to the DB\n", - "db_name = 'db.snowexdata.org/snowex'\n", - "engine, session = get_db(db_name, credentials='./credentials.json')" - ] - }, - { - "cell_type": "markdown", - "id": "c512d63f", - "metadata": {}, - "source": [ - "## DOIS" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "350ad9b0", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Published Datasets: 6\n", - "\n", - "DB Table Breakdown:\n", - "\t* PointData = 2\n", - "\t* LayerData = 2\n", - "\t* ImageData = 2\n" - ] - } - ], - "source": [ - "dois = get_all_distinct('doi')\n", - "print(f'Published Datasets: {dois[\"Total\"]}')\n", - "print_result(dois)" - ] - }, - { - "cell_type": "markdown", - "id": "02057c62", - "metadata": {}, - "source": [ - "## Datasets" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "7ba72325", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Unique Data types: 19\n", - "\n", - "DB Table Breakdown:\n", - "\t* PointData = 3\n", - "\t* LayerData = 9\n", - "\t* ImageData = 7\n" - ] - } - ], - "source": [ - "data_types = get_all_distinct('type')\n", - "print(f'Unique Data types: {data_types[\"Total\"]}')\n", - "print_result(data_types)" - ] - }, - { - "cell_type": "markdown", - "id": "f85f6c8e", - "metadata": {}, - "source": [ - "## Instruments" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "94502078", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Unique Instruments: 8\n", - "\n", - "DB Table Breakdown:\n", - "\t* PointData = 5\n", - "\t* LayerData = 1\n", - "\t* ImageData = 2\n" - ] - } - ], - "source": [ - "instruments = get_all_distinct('instrument')\n", - "print(f'Unique Instruments: {instruments[\"Total\"]}')\n", - "print_result(instruments)" - ] - }, - { - "cell_type": "markdown", - "id": "22b847d7", - "metadata": {}, - "source": [ - "## Pits" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "1ed2a027", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Unique Pits: 155\n" - ] - } - ], - "source": [ - "pits = session.query(SiteData.site_id, SiteData.date).distinct().count()\n", - "print(f'Unique Pits: {pits}')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "ad860ec0", - "metadata": {}, - "outputs": [], - "source": [ - "session.close()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "96d735a8", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/history.rst b/docs/history.rst deleted file mode 100644 index 565b052..0000000 --- a/docs/history.rst +++ /dev/null @@ -1 +0,0 @@ -.. include:: ../CHANGELOG.rst diff --git a/docs/qgis.rst b/docs/qgis.rst deleted file mode 100644 index 2801454..0000000 --- a/docs/qgis.rst +++ /dev/null @@ -1,91 +0,0 @@ -===== -QGIS -===== - -These instructions were created using QGIS 3.16.8-Hannover - -Connecting for the First Time ------------------------------ -1. Open QGIS -2. Click on the tool bar `Layer > Add Layer > Add PostGIS Layers` -3. Click `New` to open the Datasource manager. -4. Fill out the info as in the picture below, Click Ok. This should bring up a login screen -5. Enter `snow` for the user and the hack week password. -6. Click Connect and expand the `public` tab that appears after it loads. -7. You should now have sites, points, layers, and images tables showing. - - - -Forming Queries ---------------- -You can use just about anything that SQL and PostGIS has to offer to form your queries. - -**You should always use a filter to avoid crashing qgis. Each table does have a significant amount of data.** - -**Warning: DOUBLE Clicking on any table will attempt to add it all! This may crash QGIS** - -1. Click on the tool bar `Layer > Add Layer > Add PostGIS Layers` -2A. If not already connnected select `snowex` in the dropdown and select `Connect` -2B. Single click on a table -3. Click `set filter` in the bottom right -4. Fill out a query and select `test` to see how many records you will get back. -5. Select `Ok` and then select `Add` - -Examples -~~~~~~~~ - -For each of the examples follow the instructions and add these code snippits in your filters, for multiple -snippits repeat the process for each code block. - -1. There are a ton of GPR derived depths. Here we query them by finding the GPR in the instrument name and selecting -every 200th row. - - .. code-block:: sql - - instrument like '%GPR%' and - type = 'depth' and - id % 200 = 0 - - .. image:: images/gpr_example.png - :width: 400 - :alt: GPR QGIS Example - :class: with-border - - - -2. Show the ASO depths with sites locations overlaid. -Add ASO data: - - .. code-block:: sql - - surveyors = 'ASO Inc.' and - type = 'depth' and - date = '2-2-2020' - - - Add the sites table without filtering. - - .. image:: images/aso_depths_with_sites_example.png - :width: 400 - :alt: ASO Depth and Sites QGIS Example - :class: with-border - -3. Use PostGIS `ST_Within` and `ST_Buffer` on a site to plot a depth spiral - Add the snow depth points - - .. code-block:: sql - - ST_Within(geom, ST_Buffer(ST_GeomFromText('POINT(744913 4324095)', 26912), 200)) - and instrument = 'magnaprobe' - - Add the site of interest - - .. code-block:: sql - - site_id = '8N34' - - - .. image:: images/pit_spiral.png - :width: 400 - :class: with-border - :alt: Pit and Depth Spirals From cb88c3980835170781f2ae3aca49410bb5343804 Mon Sep 17 00:00:00 2001 From: aaarendt Date: Wed, 11 Mar 2026 13:39:53 -0700 Subject: [PATCH 02/11] ignore claude agent files --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index b03c83f..e2ce4a1 100644 --- a/.gitignore +++ b/.gitignore @@ -32,3 +32,5 @@ scripts/download/data/* # Version _version.py +# agent research and plans +.agents/ \ No newline at end of file From 4fd8e50a3d4de742fe204f737e61e785fc75d0ae Mon Sep 17 00:00:00 2001 From: aaarendt Date: Wed, 11 Mar 2026 13:46:45 -0700 Subject: [PATCH 03/11] feat: add mermaid dependency for docs --- pyproject.toml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index e1844c2..d124c2e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -51,7 +51,8 @@ docs = [ "sphinx <8.0", "sphinxcontrib-apidoc <1.0", "jupyter-book <2.0", - "pyyaml <7.0" + "pyyaml <7.0", + "sphinxcontrib-mermaid <1.0" ] all = ["snowexsql[dev,docs]"] From b5f304d2110d730d5c7e7192a3541f830239cd17 Mon Sep 17 00:00:00 2001 From: aaarendt Date: Wed, 11 Mar 2026 13:47:31 -0700 Subject: [PATCH 04/11] feat: closes #153 --- README.rst | 30 +-- docs/_config.yml | 1 + docs/_toc.yml | 18 -- docs/api.rst | 139 +++++------- docs/database_structure.rst | 434 ++++++++++++++++++++---------------- docs/usage.rst | 119 ++++------ snowexsql/api.py | 20 +- 7 files changed, 351 insertions(+), 410 deletions(-) diff --git a/README.rst b/README.rst index 794510b..373b7a8 100644 --- a/README.rst +++ b/README.rst @@ -24,8 +24,6 @@ simply a client for accessing the database using python .. _SnowEx database: https://www.github.com/SnowEx/snowex_db -WARNING - This is under active development in preparation for SnowEx Hackweek. Use at your own risk. Data will change as it is QA/QC'd and the end goal is for all data in this database to be pulled from NSIDC. The goal is for this to become a community database open to all. - Features -------- @@ -35,7 +33,7 @@ Features * Useful conversions to pandas and geopandas * Lots of examples_ -.. _examples: https://snowexsql.readthedocs.io/en/latest/gallery/index.html +.. _examples: https://projectpythia.org/snow-observations-cookbook/ Setup @@ -156,32 +154,6 @@ Getting help Jump over to `our discussion forum `_ and get help from our community. - -Documentation -------------- - -There is a whole host of resources for users in the documentation. It has been -setup for you to preview in your browser. - -In there you will find: - -* Examples of database use -* Database structure -* API to the python package snowexsql -* Links to other resources -* Notes about the data uploaded -* And more! - -To see the documentation in your browser: - -**Warning**: To see the examples/gallery, the snowex db needs to be up. Otherwise they will be left with the -last image submitted to GitHub. - -.. code-block:: bash - - make docs - - I want to contribute --------------------- Thank you for the interest! diff --git a/docs/_config.yml b/docs/_config.yml index 1a1b70b..00d7927 100644 --- a/docs/_config.yml +++ b/docs/_config.yml @@ -40,6 +40,7 @@ sphinx: - 'sphinx.ext.viewcode' - 'sphinx_gallery.load_style' - 'sphinx.ext.autosectionlabel' + - 'sphinxcontrib.mermaid' config: html_js_files: - https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js diff --git a/docs/_toc.yml b/docs/_toc.yml index 3b28322..5e91849 100644 --- a/docs/_toc.yml +++ b/docs/_toc.yml @@ -8,23 +8,5 @@ chapters: - file: community/index - file: database_structure - file: data_notes - - file: gallery/index - sections: - - file: gallery/what_is_in_the_db_example - - file: gallery/raster_union_and_more_example - - file: gallery/plot_raster_example - - file: gallery/plot_pit_swe_example - - file: gallery/overview_example - - file: gallery/graupel_smp_example - - file: gallery/graupel_pits_example - - file: gallery/getting_started_example - - file: gallery/get_spiral_example - - file: gallery/compare_UAVSAR_to_depths_example - - file: gallery/compare_SSA_instruments_example - - file: gallery/camera_derive_snow_depths_example - - file: gallery/api_intro_example - - file: gallery/api_plot_pit_density_example - file: cheat_sheet - - file: qgis - file: api - - file: history \ No newline at end of file diff --git a/docs/api.rst b/docs/api.rst index 59c1fc7..e43020f 100644 --- a/docs/api.rst +++ b/docs/api.rst @@ -1,111 +1,76 @@ -API Documentation -================= -.. role:: python(code) - :language: python +API Reference +============= -Background ----------- -The API (not a rest API, more of an SDK) is a set of python classes -designed for easy and standardized access to the database data. +The SnowEx Python API provides two access paths to the database: -The classes can both describe what data is available, and return -data in a GeoPandas dataframe. +- **Direct database access** (:mod:`snowexsql.api`) — for users with + database credentials. Queries run locally against the PostgreSQL/PostGIS + database using SQLAlchemy. -Components ----------- -There are two main API classes for data access. +- **Lambda client** (:mod:`snowexsql.lambda_client`) — for users without + credentials. Queries are sent to a public AWS Lambda Function URL that + proxies the request to the database server-side. No AWS account or + database credentials are required. -.. code-block:: python +Both paths expose the same high-level interface: ``from_filter()``, +``from_area()``, ``from_unique_entries()``, and ``all_*`` properties. - from snowexsql.api import PointMeasurements, LayerMeasurements +.. note:: -:code:`PointMeasurements` gives access to the PointData (depths, GPR, etc), and -:code:`LayerMeasurements` gives access to the LayerData (pits, etc). + By default, queries are capped at 1000 records. If your query would + return more, a :class:`~snowexsql.api.LargeQueryCheckException` is raised + unless you explicitly pass ``limit=`` with a value larger than 1000. -Both of the classes have the same methods, although they access different -tables in the database. -The primary methods for accessing data are :code:`.from_area` and -:code:`.from_filter`. Both of these methods return a GeoPandas dataframe. +Direct Database API +------------------- -.from_filter ------------- +.. currentmodule:: snowexsql.api -The :code:`.from_filter` is the simpler of the two search methods. It takes in -a variety of key word args (kwargs) and returns a dataset that meets -all of the criteria. +BaseDataset +~~~~~~~~~~~ -.. code-block:: python +.. autoclass:: BaseDataset + :members: + :undoc-members: + :show-inheritance: - df = LayerMeasurements.from_filter( - type="density", - site_name="Boise River Basin", - limit=1000 - ) +PointMeasurements +~~~~~~~~~~~~~~~~~ -In this example, we filter to all the layer measurements of `density` -that were taken in the `Boise River Basin`, and we `limit` to the top -1000 measurements. +.. autoclass:: PointMeasurements + :members: + :undoc-members: + :show-inheritance: -Each kwarg (except date) **can take in a list or a single value** so you could change -this to :code:`site_name=["Boise River Basin", "Grand Mesa"]` +LayerMeasurements +~~~~~~~~~~~~~~~~~ -To find what `kwargs` are allowed, we can check the class +.. autoclass:: LayerMeasurements + :members: + :undoc-members: + :show-inheritance: -.. code-block:: python +Exceptions +~~~~~~~~~~ - LayerMeasurements.ALLOWED_QRY_KWARGS +.. autoexception:: LargeQueryCheckException -For :code:`LayerMeasurements` this will return -:code:`["site_name", "site_id", "date", "instrument", "observers", "type", "utm_zone", "pit_id", "date_greater_equal", "date_less_equal"]` -so we can filter by any of these as inputs to the function. +Lambda Client +------------- -**Notice `limit` is not specified here**. Limit is in the :code:`SPECIAL_KWARGS` -and gets handled at the end of the query. +.. currentmodule:: snowexsql.lambda_client -**Notice `date_greater_equal` and `date_less_equal`** for filtering the `date` -parameter using `>=` and `<=` logic. +SnowExLambdaClient +~~~~~~~~~~~~~~~~~~ -To find what values are allowed for each, we can check the propeties of the -class. Both :code:`LayerMeasurements` and :code:`PointMeasurements` have -the following properties. +.. autoclass:: SnowExLambdaClient + :members: + :undoc-members: + :show-inheritance: - * all_site_names - * all_types - * all_dates - * all_observers - * all_instruments +create_client +~~~~~~~~~~~~~ -So you can find all the instruments for filtering like :code:`LayerMeasurements().all_instruments`. -**Note** - these must be called from an instantiated class like shown earlier -in this line. - -.from_area ----------- - -The signature for :code:`.from_area` looks like this - -.. code-block:: python - - def from_area(cls, shp=None, pt=None, buffer=None, crs=26912, **kwargs): - -It is a class method, so it *does not need an instantiated class*. -The :code:`**kwargs` argument takes the same inputs as the :code:`from_filter` -function. - -The big difference is that from area will filter to results either within -:code:`shp` (a `shapely` polygon) **or** within :code:`buffer` radius -around :code:`pt` (a `shapely` point). - - -Large Query Exception and Limit -------------------------------- - -By default, if more than 1000 records will be returned, and **no limit** -is provided. The query will fail. This is intentional so that we are aware -of large queries. If you understand your query will be large and need -more than 1000 records returned, add a :code:`limit` kwarg to your query -with a value greater than the number you need returned. -**This will override the default behavior** and return as many records as -you requested. +.. autofunction:: create_client diff --git a/docs/database_structure.rst b/docs/database_structure.rst index 3330d16..69683fd 100644 --- a/docs/database_structure.rst +++ b/docs/database_structure.rst @@ -2,193 +2,247 @@ Database Structure ================== -The data base is formed of 4 tables that end users will query. - -* **points**: Contains all data that has a single value with a single coordinate pair (e.g. snow depths). -* **layers**: Contains all data that has a depth component associated to a single coordinate pair (e.g. density profiles). -* **images**: Contains all rasters and any query for a raster tile should be done here. -* **sites**: Contains all the pit site details. - -There are other tables available, but they are auto-generated to support the 4 -tables above. These other tables are: - -* geography_columns -* geometry_columns -* spatial_ref_sys -* raster_columns -* raster_overviews - -Points Table -============= - -The `points` table contains any data that can be described by a single -coordinate pair and a single value. - -Examples of this type of data includes: - * snow depths - * GPR SWE - * GPR two way travel - * GPR Depth - -This table is mapped to python with :class:`snowexsql.data.PointData`. - -At a minimum an single entry in python would be similar to the following: - -.. code-block:: python - - PointData(value=52, easting= 758635.01, northing=4325308.56, type='depth') - - -This table has the following columns: - -* date - Date data was collected -* easting - UTM projected coordinate in the east direction in meters -* elevation - Elevation at the site or acquisition in meters -* equipment - String indentifying more info about the instruments used -* geom - GIS software friendly version of the coordinates of where the data was collected in UTM. -* id - Unique identifier that is automatically assigned when uploaded -* instrument - Name of the instrument used to collect the data -* latitude - Geographic northing coordinate of the acquisition location in degrees -* longitude - Geographic westing coordinate of the acquisition location in degrees -* northing - Northing coordinate projected in UTM in meters -* site_id - Unique identifier to pit location -* site_name - Name describing the general survey area ( e.g. Grand Mesa) -* observers - Name of the people who acquired the data -* time - Time (MST) that the data was collected -* time_updated - Time this entry was last modified -* type - Name of the data collected -* units - Units of the data collected -* utm_zone -* value - Value of the data collected -* version_number - - -Layers Table -============ - -The `layers` table contains all data that can be described by a single -coordinate pair, a depth in the snowpack, and a single value. This means that a -single entry in the Layers table is a single layer from a vertical profile. - -Examples of this data include: - * density profiles - * SMP - * SSA - * temperature - * Hand hardness - -This table is mapped to python with :class:`snowexsql.data.LayerData`. - -At a minimum an single entry would be similar to the following: - -.. code-block:: python - - LayerData(value='300', depth=30, easting= 758635.01, northing=4325308.56, type='density') - - -**NOTE**: All values in this table are stored as strings to accommodate a wide -range of data. - -This table contains the following columns: - -* bottom_depth -* comments -* date - Date data was collected -* depth - Depth in centimeters in the snowpack that the data was collected -* easting - UTM projected coordinate in the east direction in meters -* elevation - Elevation at the site or acquisition in meters -* flags - data that was flagged typically just pits -* geom - GIS software friendly version of the coordinates of where the data was collected in UTM. -* id - Unique identifier that is automatically assigned when uploaded -* instrument - Name of the instrument used to collect the data -* latitude - Geographic northing coordinate of the acquisition location in degrees -* longitude - Geographic westing coordinate of the acquisition location in degrees -* northing - Northing coordinate projected in UTM in meters -* sample_a - 1 of potentially three samples that could have been taken for this measurement, e.g. density -* sample_b - 1 of potentially three samples that could have been taken for this measurement, e.g. density -* sample_c - 1 of potentially three samples that could have been taken for this measurement, e.g. density -* site_id - Unique identifier to pit location -* site_name - Name describing the general survey area ( e.g. Grand Mesa) -* observers - Names of the people performing the acquisition -* time - Time (MST) at the beginning of acquisition -* time_created - Time this entry was uploaded -* time_updated - Time this entry was last modified -* type - Name of the data collected -* units - Units of the data collected -* utm_zone - UTM Zone -* value - Value of the data collected - - -Images Table -============ - -The `images` table contains all rasters. Its not called rasters because the -tables named raster are reserved keywords for postgis. - -Examples of this include: - * DEMS - * UAVSAR products - * Lidar acquisitions - -This table is mapped to python with :class:`snowexsql.data.ImageData`. - -At a minimum an single entry in python would be similar to the following: - -.. code-block:: python - - ImageData(raster=, type='depth') - -This table contains the following columns: - -* date - Date data was collected -* description - Any notes to add -* id - Unique identifier that is automatically assigned when uploaded -* instrument - Name of the instrument used to collect the data -* raster - Raster data in Well Known Binary Format (WKB) best generated using `raster2psql` in the command line -* site_id - Unique identifier to pit location -* site_name - Name describing the general survey area ( e.g. Grand Mesa) -* observers - Names of the people or organization that acquired the data -* time_created - Time this entry was uploaded -* time_updated - Time this entry was last modified -* type - Name of the data collected -* units - Units of the data collected - - -Sites Table -=========== - -The sites table contains all the details regarding pit site details. This -table is formed exclusively from the `SiteDetails.csv` files that were provided -with `stratigraphy.csv` and `density.csv` files. - -This table is mapped to python with :class:`snowexsql.data.SiteData`. -This table has a lot of columns. They are: - -* air_temp - Air temperature in degrees C at time of digging the pit -* aspect - Slope Aspect in degrees from north -* date - Date data was collected -* easting - UTM projected coordinate in the east direction in meters -* elevation - Elevation at the site or acquisition in meters -* geom - GIS software friendly version of the coordinates of where the data was collected in UTM. -* ground_condition - Description of the surface below snow -* ground_roughness - A description of how rough the surface below the snow is -* ground_vegetation - Description of the vegetation below snow -* id - Unique identifier that is automatically assigned when uploaded -* latitude - Geographic northing coordinate of the acquisition location in degrees -* longitude - Geographic westing coordinate of the acquisition location in degrees -* northing - Northing coordinate projected in UTM in meters -* precip - Description of the precip during pit digging -* site_id - Unique identifier to pit location -* site_name - Name describing the general survey area ( e.g. Grand Mesa) -* site_notes - Any special site specific notes -* sky_cover - Description of the cloud cover -* slope_angle - Angle of the slope in degrees -* time - Time (MST) acquisition began -* time_created - Time this entry was uploaded -* time_updated - Time this entry was last modified -* total_depth - Snow depth at location in centimeters -* tree_canopy - Description of the tree canopy at location -* utm_zone - UTM zone -* vegetation_height - Estimated vegetation height -* weather_description - Brief description of the weather during acquisition -* wind - Description of the wind during acquisition +The SnowEx database is a PostgreSQL/PostGIS database with a normalized +relational schema. Measurements are organized around **campaigns** +(field seasons), **sites** (snow pit locations), and +**observations** (individual instrument deployments). Shared metadata +like instruments, observers, measurement types, and DOI references are +stored in separate lookup tables and linked by foreign key, rather than +repeated as strings on every row. + +Schema Diagram +-------------- + +.. mermaid:: + + erDiagram + campaigns ||--o{ sites : "campaign_id" + campaigns ||--o{ campaign_observations : "campaign_id" + + sites }o--o{ observers : "site_observers" + sites }o--|| dois : "doi_id" + sites ||--o{ layers : "site_id" + + layers }o--|| measurement_type : "measurement_type_id" + layers }o--|| instruments : "instrument_id" + + campaign_observations }o--|| dois : "doi_id" + campaign_observations }o--|| instruments : "instrument_id" + campaign_observations }o--|| observers : "observers_id" + + campaign_observations ||--o{ points : "observation_id" + campaign_observations ||--o{ images : "observation_id" + + points }o--|| measurement_type : "measurement_type_id" + images }o--|| measurement_type : "measurement_type_id" + +Lookup Tables +------------- + +These tables store shared metadata that is referenced by foreign key +from the data tables. + +.. list-table:: campaigns + :header-rows: 1 + :widths: 20 15 65 + + * - Column + - Type + - Description + * - id + - Integer (PK) + - Primary key + * - name + - String + - Campaign name (e.g. ``SnowEx20``, ``SnowEx23``) + * - description + - String + - Optional description of the campaign + +.. list-table:: observers + :header-rows: 1 + :widths: 20 15 65 + + * - Column + - Type + - Description + * - id + - Integer (PK) + - Primary key + * - name + - String + - Observer name + +.. list-table:: instruments + :header-rows: 1 + :widths: 20 15 65 + + * - Column + - Type + - Description + * - id + - Integer (PK) + - Primary key + * - name + - String + - Instrument name (e.g. ``depth_probe``, ``SMP``) + * - model + - String + - Instrument model + * - specifications + - String + - Additional instrument specifications + +.. list-table:: measurement_type + :header-rows: 1 + :widths: 20 15 65 + + * - Column + - Type + - Description + * - id + - Integer (PK) + - Primary key + * - name + - Text + - Measurement name (e.g. ``density``, ``depth``) + * - units + - Text + - Units of measurement (e.g. ``kg/m^3``, ``cm``) + * - derived + - Boolean + - True if this measurement is derived from other values + +.. list-table:: dois + :header-rows: 1 + :widths: 20 15 65 + + * - Column + - Type + - Description + * - id + - Integer (PK) + - Primary key + * - doi + - String + - DOI string for the associated publication or dataset + * - date_accessed + - Date + - Date the DOI was accessed + +Core Data Tables +---------------- + +**sites** + +Stores snow pit and measurement site metadata. Each site belongs to a +campaign and optionally references a DOI. Sites have a geographic point +location, a date, and detailed site condition fields recorded in the +field (slope angle, aspect, sky cover, etc.). + +Key columns: ``id``, ``name``, ``description``, ``datetime``, +``elevation``, ``geom`` (PostGIS Point), ``campaign_id`` (FK → +campaigns), ``doi_id`` (FK → dois), ``slope_angle``, ``aspect``, +``air_temp``, ``total_depth``, ``weather_description``, ``precip``, +``sky_cover``, ``wind``, ``ground_condition``, ``ground_roughness``, +``ground_vegetation``, ``vegetation_height``, ``tree_canopy``, +``comments``. + +Observers are linked to sites through the ``site_observers`` +many-to-many join table. + +**layers** + +Stores individual layer or profile measurements from snow pits — one +row per depth value at a site. Examples include density profiles, +temperature profiles, hand hardness, and SMP measurements. Each row +links to a site (which provides the geographic location and date), +a measurement type, and an instrument. + +Key columns: ``id``, ``depth`` (cm from surface), ``bottom_depth``, +``value`` (Text), ``site_id`` (FK → sites), +``measurement_type_id`` (FK → measurement_type), +``instrument_id`` (FK → instruments). + +Observation Hierarchy +--------------------- + +Point and image data are organized through a **campaign observation** +layer that links each dataset to a campaign, instrument, observer, +and DOI. A single table inheritance pattern is used: the +``campaign_observations`` table has a ``type`` discriminator column +that identifies each row as either a ``PointObservation`` or an +``ImageObservation``. + +.. list-table:: campaign_observations + :header-rows: 1 + :widths: 20 15 65 + + * - Column + - Type + - Description + * - id + - Integer (PK) + - Primary key + * - name + - Text + - Observation name + * - description + - Text + - Optional description + * - date + - Date + - Date of the observation + * - type + - String + - Discriminator: ``PointObservation`` or ``ImageObservation`` + * - campaign_id + - Integer (FK) + - Links to campaigns + * - doi_id + - Integer (FK) + - Links to dois + * - instrument_id + - Integer (FK) + - Links to instruments + * - observers_id + - Integer (FK) + - Links to observers + +**points** + +Stores individual point measurements (one value at one coordinate). +Examples include snow depth probe measurements and Federal Sampler +SWE values. Each point row links to a ``PointObservation`` (which +provides campaign, instrument, observer, and DOI context) and a +measurement type. + +Key columns: ``id``, ``value`` (Float), ``datetime``, ``elevation``, +``geom`` (PostGIS Point), ``observation_id`` (FK → +campaign_observations), ``measurement_type_id`` (FK → +measurement_type). + +**images** + +Stores raster data (e.g. snow depth maps, DEMs). Each row links to an +``ImageObservation`` and a measurement type. + +Key columns: ``id``, ``raster`` (PostGIS Raster), +``observation_id`` (FK → campaign_observations), +``measurement_type_id`` (FK → measurement_type). + +Implementation Details +---------------------- + +The schema is implemented in :mod:`snowexsql.tables`. Each table is a +SQLAlchemy ORM class. Shared column patterns are provided as Python +mixins: + +- :class:`~snowexsql.tables.campaign.InCampaign` — adds ``campaign_id`` FK +- :class:`~snowexsql.tables.doi.HasDOI` — adds ``doi_id`` FK +- :class:`~snowexsql.tables.instrument.HasInstrument` — adds ``instrument_id`` FK +- :class:`~snowexsql.tables.observers.HasObserver` — adds ``observers_id`` FK +- :class:`~snowexsql.tables.measurement_type.HasMeasurementType` — adds ``measurement_type_id`` FK +- :class:`~snowexsql.tables.single_location.SingleLocationData` — adds ``datetime``, ``elevation``, ``geom`` + +Source files: ``snowexsql/tables/`` diff --git a/docs/usage.rst b/docs/usage.rst index 5e7210c..59ab940 100644 --- a/docs/usage.rst +++ b/docs/usage.rst @@ -2,98 +2,61 @@ Usage ===== -PostGres + PostGIS ------------------- -The database thats created with this project is a postgres database with PostGIS -abilities also sometimes just called PostGIS database. As a result, the database -can be used like a normal postgres database for which there are hundreds of -online resources and this page won't go into constructing those queries for brevity -and high likelihood of it being inferior to many of the other resources. +About SnowEx +------------ - * PostGIS_ - * PostGres_ +NASA SnowEx is a multi-year airborne and field campaign aimed at understanding +the seasonal snowpack across the western United States. Each campaign combines +airborne remote sensing (lidar, radar, hyperspectral imagery) with intensive +ground truth measurements at dozens of snow pit sites, spread across a variety +of vegetation types and terrain. The goal is to improve snow water equivalent +(SWE) retrieval algorithms for future spaceborne missions. -.. _PostGIS: https://postgis.net/docs/manual-3.0/ -.. _PostGres: https://www.postgresql.org/docs/10/index.html +The SnowEx database consolidates measurements from all campaigns into a single +queryable PostgreSQL/PostGIS database. It holds point measurements (snow +depths, Federal Sampler SWE) and layer/profile data (density, temperature, +stratigraphy from snow pits). +Accessing the Database +---------------------- -Python + GeoAlchemy2 --------------------- -The real power of the PostGIS database coupled with python is the simplicity -and verbosity of forming queries. GeoAlchemy2 provides object relational mapper (ORM) -abilities which simply means we can have python classes that represent things in the -database. +There are two ways to access the SnowEx database: -The SnowEx Database currently is formed of 4 tables. +**Public access via Lambda client (no credentials required)** + The recommended approach for most users. The + :class:`~snowexsql.lambda_client.SnowExLambdaClient` connects to a public + AWS Lambda Function URL that proxies queries to the database. No AWS + account or database credentials are needed. -1. **points** - Holds any data which has no other dimension beyond its value. - E.g. Snow Depths, Federal Samplers, etc. -2. **layers** - Holds any data collected which was collected at a single point - but has a vertical snow component. Each entry is at a single location with an - assigned depth. E.g. Hand Hardness, Density profiles, SMP, etc. -3. **images** - Holds all raster data. -4. **sites** - Holds all site details data. + .. code-block:: python -Every query will need a session and access to a database via name:: + from snowexsql.lambda_client import SnowExLambdaClient - from snowexsql.db import get_db + client = SnowExLambdaClient() + classes = client.get_measurement_classes() + PointMeasurements = classes['PointMeasurements'] - # Connect to the database we made. This may not be named snowex. - db_name = 'snowex' + df = PointMeasurements.from_filter(type='depth', limit=100) - # Get an engine and session object for our db - engine, session = get_db(db_name) +**Direct database access (credentials required)** + For users with database credentials, the + :mod:`snowexsql.api` classes can be used directly without going through + Lambda. This path also supports raster queries. + .. code-block:: python -Each table has a class already built in the snowexsql. At a minimum you need at -least one of those classes to interact with it using this library. To grab -all points in the table:: + from snowexsql.api import PointMeasurements, LayerMeasurements - from snowexsql.data import PointData, LayerData, ImageData, SiteData + df = LayerMeasurements.from_filter(type='density', limit=100) - # Grab the first 10 records from points table - points = session.query(PointData).limit(10).all() +Full Tutorial +------------- - # Close the session - session.close() +For a complete walkthrough of accessing and querying the SnowEx database, +including spatial queries, filtering by campaign or instrument, and working +with the returned data, see the Project Pythia Snow Observations Cookbook: -This approach can be done with any other tables as well. +* `SnowEx Database Tutorial`_ — step-by-step guide to using the Lambda client + and the API classes -To grab all the layers associated to a single pit:: - - # Break up queries by splitting them like the below - q = session.query(LayerData) - - # Filter our filter query to only the records associated to pit 5S31 - Layers = q.filter(LayerData.site_id=='5S31').all() - -In ORM example shown above, class attributes become column names in the -database. In the example above, there is a column named `site_id` under our -table layers (represented here as LayerData). - -Each record returned from the database using ORM will return an object with -the associated attributes of the class used in the query. The query above -will have a list of objects where each record has the attributes that match -each column in the table. - -Functions -~~~~~~~~~ - -PostGIS offers a ton of very useful functions and often using them instead of -them locally in python can save time and memory. - -Using these functions with the ORM style of database interactions, there a 3 -ways we can use these functions: - -1. Calling them via `sqlalchemy.functions` -2. Calling them via `geoalchemy2.functions` -3. Calling a few directly from `snowexsql.functions` - -All functions available to postgres are available via option #1. They are however -unaware of types and the object mapping that is occurring in geoalchemy2. -Therefore especially when dealing with rasters, geoalchemy2 can be quite useful -for prepping data right away. Not all functions though are mapped in geoalchemy2 and sometime its -convenient to just make them for ourselves which is what is in snowexsql. - - -Checkout our :ref:`Examples` for more detail looks at queries with python. +.. _SnowEx Database Tutorial: https://projectpythia.org/snow-observations-cookbook/notebooks/snowexsql-database/ diff --git a/snowexsql/api.py b/snowexsql/api.py index 28608b3..9eb9847 100644 --- a/snowexsql/api.py +++ b/snowexsql/api.py @@ -102,6 +102,13 @@ def get_points(): class BaseDataset: + """Base class for all SnowEx measurement dataset accessors. + + Provides filtering, querying, and property-based access to measurements + stored in the SnowEx database. Subclasses must set ``MODEL`` to the + appropriate SQLAlchemy table class. + """ + MODEL = None ALLOWED_QRY_KWARGS = [ @@ -328,9 +335,8 @@ def from_filter(cls, verbose=False, **kwargs): filters are cls.ALLOWED_QRY_KWARGS. Args: - verbose: If True, return denormalized data with related table - columns - **kwargs: Filter arguments from ALLOWED_QRY_KWARGS + verbose: If True, return denormalized data with related table columns + kwargs: Filter arguments from ALLOWED_QRY_KWARGS """ with db_session_with_credentials() as (engine, session): try: @@ -378,12 +384,10 @@ def from_area( for spatial operations, eliminating dependency on geoalchemy2/shapely. Args: - verbose: If True, return denormalized data with related table - columns + verbose: If True, return denormalized data with related table columns shp: shapely geometry in which to filter, or WKT string pt: shapely point that will have a buffer applied, or WKT string - buffer: buffer distance in same units as point - (meters if using geography) + buffer: buffer distance in same units as point (meters if using geography) crs: integer SRID/EPSG code (default 26912 = UTM Zone 12N) kwargs: for more filtering or limiting (cls.ALLOWED_QRY_KWARGS) @@ -905,7 +909,7 @@ def get_sites(cls, site_names=None, **kwargs): Args: site_names: List of site names or single site name - **kwargs: Additional filters (campaign, date, etc.) + kwargs: Additional filters (campaign, date, etc.) Returns: GeoDataFrame with site information From 08a9c506ab8dbd9037279afc18408100ef3174ad Mon Sep 17 00:00:00 2001 From: aaarendt Date: Wed, 11 Mar 2026 17:26:45 -0700 Subject: [PATCH 05/11] fix: addresses Joe's edits --- README.rst | 6 ++++++ docs/usage.rst | 14 +++++++------- 2 files changed, 13 insertions(+), 7 deletions(-) diff --git a/README.rst b/README.rst index 373b7a8..7efc4a4 100644 --- a/README.rst +++ b/README.rst @@ -154,6 +154,12 @@ Getting help Jump over to `our discussion forum `_ and get help from our community. +Documentation +------------- + +Our read the docs pages include `documentation of the API structure `_ +and `provides a detailed description of the database schema `_. + I want to contribute --------------------- Thank you for the interest! diff --git a/docs/usage.rst b/docs/usage.rst index 59ab940..2b02caa 100644 --- a/docs/usage.rst +++ b/docs/usage.rst @@ -5,16 +5,16 @@ Usage About SnowEx ------------ -NASA SnowEx is a multi-year airborne and field campaign aimed at understanding -the seasonal snowpack across the western United States. Each campaign combines -airborne remote sensing (lidar, radar, hyperspectral imagery) with intensive -ground truth measurements at dozens of snow pit sites, spread across a variety -of vegetation types and terrain. The goal is to improve snow water equivalent -(SWE) retrieval algorithms for future spaceborne missions. +NASA SnowEx was a multi-year airborne and field campaign aimed at understanding +the seasonal snowpack across the western United States and Alaska. Each campaign +combined airborne remote sensing (lidar, radar, hyperspectral imagery) with +intensive ground truth measurements across a variety of different snow climates. +The goal was to improve snow water equivalent (SWE) retrieval algorithms +for future spaceborne missions. The SnowEx database consolidates measurements from all campaigns into a single queryable PostgreSQL/PostGIS database. It holds point measurements (snow -depths, Federal Sampler SWE) and layer/profile data (density, temperature, +depths, Federal Sampler SWE) and snow pit information (density, temperature, stratigraphy from snow pits). Accessing the Database From 1a92380a4543926c4bcbe9aa649c1f1f89686754 Mon Sep 17 00:00:00 2001 From: aaarendt Date: Thu, 12 Mar 2026 10:33:32 -0700 Subject: [PATCH 06/11] add DOI and fix grammar --- README.rst | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.rst b/README.rst index 7efc4a4..1a53ae7 100644 --- a/README.rst +++ b/README.rst @@ -17,10 +17,14 @@ Welcome to snowexsql .. image:: https://codecov.io/gh/SnowEx/snowexsql/graph/badge.svg?token=B27OKGBOTR :target: https://codecov.io/gh/SnowEx/snowexsql +.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.7618101.svg + :target: https://doi.org/10.5281/zenodo.7618101 + :alt: DOI + About ----- Database access and tools for using the `SnowEx database`_. This tool is -simply a client for accessing the database using python +simply a client for accessing the database using Python. .. _SnowEx database: https://www.github.com/SnowEx/snowex_db From 35de01d351cadcea669be820a882ee75e3c3fb27 Mon Sep 17 00:00:00 2001 From: aaarendt Date: Thu, 12 Mar 2026 14:08:19 -0700 Subject: [PATCH 07/11] fix: repair some Sphinx formatting issues --- docs/community/how_to_contribute.rst | 23 ++++++++++++----------- docs/data_notes.rst | 4 ++-- 2 files changed, 14 insertions(+), 13 deletions(-) diff --git a/docs/community/how_to_contribute.rst b/docs/community/how_to_contribute.rst index ca80656..37c1fd9 100644 --- a/docs/community/how_to_contribute.rst +++ b/docs/community/how_to_contribute.rst @@ -90,7 +90,7 @@ the credentials to connect to it. Setting up an instance can be done via the supplied Docker compose file (see steps below). Setting up DB credentials ----- +------------------------- Copy the supplied sample file locally in a terminal .. code-block:: bash @@ -101,19 +101,19 @@ The file contains the username and password for connecting to the DB within the Docker container. Docker commands ----- +--------------- After `installing Docker `_, you can start up a ready to go database instance. Start a database -**** +~~~~~~~~~~~~~~~~ .. code-block:: bash $ docker-compose up -d Stop a database -**** +~~~~~~~~~~~~~~~ When you are finished testing, make sure to turn the docker off .. code-block:: bash @@ -121,7 +121,7 @@ When you are finished testing, make sure to turn the docker off $ docker-compose down Running the test suite ----- +---------------------- Quickly test your installation by running: .. code-block:: bash @@ -129,7 +129,7 @@ Quickly test your installation by running: $ python3 -m pytest tests/ Testing the code coverage ----- +------------------------- The goal of this project is to have high fidelity in data interpretation/submission to the database. To see the current test coverage run: @@ -165,11 +165,12 @@ Deploying A reminder for the maintainers on how to deploy. Make sure all your changes are committed. Then, in Github, - 1. Draft a new release https://github.com/SnowEx/snowexsql/releases/new - 2. Create a new tag in the style of `v0.x.x`_ - 3. Set release title to `snowexsql v`_ - 4. Enter release notes - 5. Check that the action has released succesfully + +1. Draft a new release https://github.com/SnowEx/snowexsql/releases/new +2. Create a new tag in the style of ``v0.x.x`` +3. Set release title to ``snowexsql v`` +4. Enter release notes +5. Check that the action has released successfully $ bump2version patch # possible: major / minor / patch $ git push diff --git a/docs/data_notes.rst b/docs/data_notes.rst index 0f1a700..00f32b6 100644 --- a/docs/data_notes.rst +++ b/docs/data_notes.rst @@ -123,8 +123,8 @@ Known multisampled profiles are: * Density * LWC (Dielectric Constant) -Density -~~~~~~~ +Density Profiles +~~~~~~~~~~~~~~~~ * Density profiles all have multiple profiles. The value assigned is the average of the profiles. From 75e7be87ee99ea8b9aafdae616ac81383866dbaa Mon Sep 17 00:00:00 2001 From: aaarendt Date: Thu, 12 Mar 2026 14:08:47 -0700 Subject: [PATCH 08/11] feat: delete usage tab and combine with readme --- README.rst | 145 ++++++++++++++++++++----------------------------- docs/_toc.yml | 1 - docs/usage.rst | 62 --------------------- 3 files changed, 59 insertions(+), 149 deletions(-) delete mode 100644 docs/usage.rst diff --git a/README.rst b/README.rst index 1a53ae7..d09ec86 100644 --- a/README.rst +++ b/README.rst @@ -23,38 +23,70 @@ Welcome to snowexsql About ----- -Database access and tools for using the `SnowEx database`_. This tool is -simply a client for accessing the database using Python. -.. _SnowEx database: https://www.github.com/SnowEx/snowex_db - - -Features --------- +NASA SnowEx was a multi-year airborne and field campaign aimed at understanding +the seasonal snowpack across the western United States and Alaska. Each campaign +combined airborne remote sensing (lidar, radar, hyperspectral imagery) with +intensive ground truth measurements across a variety of different snow climates. +The goal was to improve snow water equivalent (SWE) retrieval algorithms +for future spaceborne missions. -* Database access for SnowEx Database -* Analysis tools -* Useful conversions to pandas and geopandas -* Lots of examples_ +The `SnowEx database`_ consolidates measurements from all campaigns into a +single queryable PostgreSQL/PostGIS database. It holds point measurements (snow +depths, Federal Sampler SWE) and snow pit information (density, temperature, +stratigraphy from snow pits). This software is a client for accessing the +database using Python. -.. _examples: https://projectpythia.org/snow-observations-cookbook/ +.. _SnowEx database: https://www.github.com/SnowEx/snowex_db -Setup ------ - Installing -========== +---------- + Install using pip: .. code-block:: pip install snowexsql + +Accessing the Database +---------------------- + +There are two ways to access the SnowEx database: + +**Public access via Lambda client (no credentials required)** + The recommended approach for most users. The + :class:`~snowexsql.lambda_client.SnowExLambdaClient` connects to a public + AWS Lambda Function URL that proxies queries to the database. No AWS + account or database credentials are needed. + + .. code-block:: python + + from snowexsql.lambda_client import SnowExLambdaClient + + client = SnowExLambdaClient() + classes = client.get_measurement_classes() + PointMeasurements = classes['PointMeasurements'] + + df = PointMeasurements.from_filter(type='depth', limit=100) + +**Direct database access (credentials required)** + For users with database credentials, the + :mod:`snowexsql.api` classes can be used directly without going through + Lambda. This path also supports raster queries. + + .. code-block:: python + + from snowexsql.api import PointMeasurements, LayerMeasurements + + df = LayerMeasurements.from_filter(type='density', limit=100) + + Configuring the database connection -=================================== -Using this library requires setting up the database connection credentials. -There are two options to do this: +----------------------------------- +For users wishing to have direct access to the database, there are two options +for setting up the credentials: * Set database connection URL via ``SNOWEX_DB_CONNECTION`` environment variable Example: @@ -82,76 +114,17 @@ There are two options to do this: "password": "password" } +Full Tutorial +------------- -Accessing the SnowEx data ------------------ - -There are two ways to access SnowEx data through this library: - -1. **Direct Database Access** (requires database credentials) -2. **Lambda Client** (no credentials required - serverless access, recommended) - -Direct Database Access -======================= -A programmatic API has been created for fast and standard -access to Point and Layer data. There are two examples_ covering the -features and usage of the api. See the specific api_ documentation for -detailed description. - -.. _api: https://snowexsql.readthedocs.io/en/latest/api.html - -.. code-block:: python - - from snowexsql.api import PointMeasurements, LayerMeasurements - # The main functions we will use are `from_area` and `from_filter` like this - df = PointMeasurements.from_filter( - date=date(2020, 5, 28), instrument='camera' - ) - print(df.head()) - -Lambda Client (Serverless Access) -================================== -For users who prefer serverless access or don't want to manage database -connections, we provide an AWS Lambda-based client with a public Function URL. - -**No credentials required!** The Lambda function handles all database -credentials internally via AWS Secrets Manager. - -**Requirements:** - -* No AWS credentials needed - public HTTP endpoint -* No database credentials needed - handled by Lambda -* requests library installed (included with snowexsql) - -**Usage:** - -.. code-block:: python - - from snowexsql.lambda_client import SnowExLambdaClient - from datetime import date - - # Initialize client - no credentials needed! - client = SnowExLambdaClient() - - # Get measurement classes - classes = client.get_measurement_classes() - PointMeasurements = classes['PointMeasurements'] - - # Query data (same API as direct access) - df = PointMeasurements.from_filter( - date=date(2020, 5, 28), instrument='camera' - ) - -See the `lambda_example notebook `_ -for complete examples. - -**How It Works:** +For a complete walkthrough of accessing and querying the SnowEx database, +including spatial queries, filtering by campaign or instrument, and working +with the returned data, see the Project Pythia Snow Observations Cookbook: -- Public Lambda Function URL allows anyone to query the database -- Database credentials stored securely in AWS Secrets Manager (never exposed) -- Database only accepts connections from Lambda (not public internet) -- All queries go through Lambda for security and monitoring +* `SnowEx Database Tutorial`_ — step-by-step guide to using the Lambda client + and the API classes +.. _SnowEx Database Tutorial: https://projectpythia.org/snow-observations-cookbook/notebooks/snowexsql-database/ Getting help ------------ diff --git a/docs/_toc.yml b/docs/_toc.yml index 5e91849..d51e93f 100644 --- a/docs/_toc.yml +++ b/docs/_toc.yml @@ -4,7 +4,6 @@ format: jb-book root: readme chapters: - - file: usage - file: community/index - file: database_structure - file: data_notes diff --git a/docs/usage.rst b/docs/usage.rst deleted file mode 100644 index 2b02caa..0000000 --- a/docs/usage.rst +++ /dev/null @@ -1,62 +0,0 @@ -===== -Usage -===== - -About SnowEx ------------- - -NASA SnowEx was a multi-year airborne and field campaign aimed at understanding -the seasonal snowpack across the western United States and Alaska. Each campaign -combined airborne remote sensing (lidar, radar, hyperspectral imagery) with -intensive ground truth measurements across a variety of different snow climates. -The goal was to improve snow water equivalent (SWE) retrieval algorithms -for future spaceborne missions. - -The SnowEx database consolidates measurements from all campaigns into a single -queryable PostgreSQL/PostGIS database. It holds point measurements (snow -depths, Federal Sampler SWE) and snow pit information (density, temperature, -stratigraphy from snow pits). - -Accessing the Database ----------------------- - -There are two ways to access the SnowEx database: - -**Public access via Lambda client (no credentials required)** - The recommended approach for most users. The - :class:`~snowexsql.lambda_client.SnowExLambdaClient` connects to a public - AWS Lambda Function URL that proxies queries to the database. No AWS - account or database credentials are needed. - - .. code-block:: python - - from snowexsql.lambda_client import SnowExLambdaClient - - client = SnowExLambdaClient() - classes = client.get_measurement_classes() - PointMeasurements = classes['PointMeasurements'] - - df = PointMeasurements.from_filter(type='depth', limit=100) - -**Direct database access (credentials required)** - For users with database credentials, the - :mod:`snowexsql.api` classes can be used directly without going through - Lambda. This path also supports raster queries. - - .. code-block:: python - - from snowexsql.api import PointMeasurements, LayerMeasurements - - df = LayerMeasurements.from_filter(type='density', limit=100) - -Full Tutorial -------------- - -For a complete walkthrough of accessing and querying the SnowEx database, -including spatial queries, filtering by campaign or instrument, and working -with the returned data, see the Project Pythia Snow Observations Cookbook: - -* `SnowEx Database Tutorial`_ — step-by-step guide to using the Lambda client - and the API classes - -.. _SnowEx Database Tutorial: https://projectpythia.org/snow-observations-cookbook/notebooks/snowexsql-database/ From f0578e6a0173f4322d676c7f06f38ddcdf04a6a1 Mon Sep 17 00:00:00 2001 From: aaarendt Date: Thu, 12 Mar 2026 14:09:02 -0700 Subject: [PATCH 09/11] delete unnecessary extension --- docs/_config.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/_config.yml b/docs/_config.yml index 00d7927..5cac403 100644 --- a/docs/_config.yml +++ b/docs/_config.yml @@ -36,7 +36,6 @@ exclude_patterns: ['_build', 'Thumbs.db', '.DS_Store'] sphinx: extra_extensions: - 'sphinx.ext.autodoc' - - 'sphinxcontrib.apidoc' - 'sphinx.ext.viewcode' - 'sphinx_gallery.load_style' - 'sphinx.ext.autosectionlabel' From 6b95456825d1bc161069ce0c535072e4fa77abb9 Mon Sep 17 00:00:00 2001 From: aaarendt Date: Fri, 13 Mar 2026 09:28:21 -0700 Subject: [PATCH 10/11] clarify information in layers table --- docs/database_structure.rst | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/docs/database_structure.rst b/docs/database_structure.rst index 69683fd..645602b 100644 --- a/docs/database_structure.rst +++ b/docs/database_structure.rst @@ -153,10 +153,9 @@ many-to-many join table. **layers** -Stores individual layer or profile measurements from snow pits — one -row per depth value at a site. Examples include density profiles, -temperature profiles, hand hardness, and SMP measurements. Each row -links to a site (which provides the geographic location and date), +Stores individual layer (e.g. snow pit) or profile (e.g. SMP) information. For +example, one row for a snow pit holds density or temperature for one layer. +Each row links to a site (which provides the geographic location and date), a measurement type, and an instrument. Key columns: ``id``, ``depth`` (cm from surface), ``bottom_depth``, From bf33a5f47cde9f79182a8212444c3269f018a1f5 Mon Sep 17 00:00:00 2001 From: aaarendt Date: Fri, 13 Mar 2026 09:28:34 -0700 Subject: [PATCH 11/11] move tutorial earlier --- README.rst | 23 +++++++++++------------ 1 file changed, 11 insertions(+), 12 deletions(-) diff --git a/README.rst b/README.rst index d09ec86..37c3c0b 100644 --- a/README.rst +++ b/README.rst @@ -49,6 +49,17 @@ Install using pip: pip install snowexsql +Full Tutorial +------------- + +For a complete walkthrough of accessing and querying the SnowEx database, +including spatial queries, filtering by campaign or instrument, and working +with the returned data, see the Project Pythia Snow Observations Cookbook: + +* `SnowEx Database Tutorial`_ — step-by-step guide to using the Lambda client + and the API classes + +.. _SnowEx Database Tutorial: https://projectpythia.org/snow-observations-cookbook/notebooks/snowexsql-database/ Accessing the Database ---------------------- @@ -114,18 +125,6 @@ for setting up the credentials: "password": "password" } -Full Tutorial -------------- - -For a complete walkthrough of accessing and querying the SnowEx database, -including spatial queries, filtering by campaign or instrument, and working -with the returned data, see the Project Pythia Snow Observations Cookbook: - -* `SnowEx Database Tutorial`_ — step-by-step guide to using the Lambda client - and the API classes - -.. _SnowEx Database Tutorial: https://projectpythia.org/snow-observations-cookbook/notebooks/snowexsql-database/ - Getting help ------------ Jump over to `our discussion forum `_