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dataviz-python-js

My working files from reading "Data Visualization with Python & JavaScript" by Kyran Dale.

Note that this does not include the git repository that the author makes available (I don't want to repeat it.) However, it can be manually placed in this directory by running

git clone https://github.com/Kyrand/dataviz-with-python-and-js.git

Note that I've already included the directory that is created by this command in .gitignore

Also, the 'nobel_winners' directory was created by the scrapy library for python. The command to make it was

scrapy startproject nobel_winners

Most of the files in that directory were generated automatically, but the important files to look at are in the top level directory where I captured a session of 'scrapy shell' (which runs a terminal-based ipython) in day-exploration.py. Also, the spider I created at nobel_winners/nobel_winners/spiders/nwinners_list_spider.py and the spider for getting bios and photos: nobel_winners/nobel_winners/spiders/minibio_nwinners_spider.py. Also the pipeline.py in nobel_winners and the comm directory that I created there.

Scrapy key commands

Create a project

this will create a new directory with several subdirectories

scrapy startproject <project_name>

Shell for real-time exploration

  1. Go to root directory of the project
  2. type scrapy shell <target_URL>
  3. This will open up a terminal-based ipython session.
  4. Use the %magic to see documentation on magic commands
  5. Use %save <filename.py> 1-15 to save lines 1-15 to filename.py
  6. Use shelp() to see scrapy-specific help (help() will be ipython help)

Run a spider

  1. Create the spider by adding <spider_name>_spider.py file in project_name/project_name/spider directory.
  2. Go to root directory
  3. run scrapy list to see the list of all the spiders. Your new one should be included
  4. run `scrapy crawl <spider_name> -o <output_filename.json>