vscode_snippets_python.json

{
	// This file contains snippets in the VS Code format. You can paste them into the python.json file as part of user snippets.
	// Each snippet is defined under a snippet name and has a prefix, body and 
	// description. The prefix is what is used to trigger the snippet and the body will be expanded and inserted. 
	// Possible variables are:
	// $1, $2 for tab stops, $0 for the final cursor position, and ${1:label}, ${2:another} for placeholders. 
	// Placeholders with the same ids are connected.
	// Example:
	// "Print to console": {
	// 	"prefix": "log",
	// 	"body": [
	// 		"console.log('$1');",
	// 		"$2"
	// 	],
	// 	"description": "Log output to console"
	// }

	"Imports": {
		"prefix": "import_usefuls",
		"body": [
			"import os",
			"import sys",
			"from glob import glob",
			"import numpy as np",
			"import pandas as pd",
			"pd.set_option('display.max_rows', 300)",
			"pd.set_option('max_colwidth', 300)",
			"from tqdm import tqdm",
			"import hvplot.pandas",
			],
		"description": "Import useful packages"
		},


	"Pandas loader": {
		"prefix": "train_test_load",
		"body": [
			"${1|train,test|} = pd.read_csv('./input/${2|train,test|}.csv",
			],
		"description": "Import useful packages"
		},



	"Memory checker": {
		"prefix": "memory_usage",
		"body": [
			"import sys",
			"ipython_vars = ['In', 'Out', 'exit', 'quit', 'get_ipython', 'ipython_vars']",
			"sorted([(x, sys.getsizeof(globals().get(x))) for x in dir() if not",
			"    x.startswith('_') and x not in sys.modules and x",
			"    not in ipython_vars], key=lambda x: x[1], reverse=True)",
			],
		"description": "Get memory usage for variables"
	    },


    "Dask bag": {
		"prefix": "dask_bag",
		"body": [
			"from dask import bag, diagnostics",
			"${1:dimsbag} = bag.from_sequence(${2:dimslist}).map(${0:get_dims_function})",
			"with diagnostics.ProgressBar():",
			"    dims = dimsbag.compute()",
            ],
        "description": "Parallelize function with dask bag"
        },

// Requires dfmaxreduce.py and blank __init__.py in source directory
    "Memory Reducer": {
        "prefix": "maxreduce",
        "body": [
            "# Requires dfmaxreduce.py and blank__init__.py in sys.path dir",
            "sys.path.append(${1:'D:/Dropbox (Personal)/Kaggles/molecules/}code/utils')",
            "from dfmaxreduce import Maxreducer",
            "reducer=Maxreducer()",
            "${2:traintest} = reducer.reduce(${0:traintest}, verbose=True)",
        ],
        "description": "Reduce memory footprint for pandas dataframes"
        },


    }