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#If you've downloaded a bunch of the same type of census file, for example
#multiple years of the same data or multiple geography types, and you want to 
#process them all the same way 
#works with python3 and python2

import pandas as pd
import os

#Directories that contain census data downloaded from FactFinder
poverty_dir = './census-data/poverty/'

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#Big thank you to Mike Stucka for all his help on this one <3
import pandas as pd
import requests, time, csv
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.common.exceptions import UnexpectedAlertPresentException

#fac_data is created from segment.py

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#Requires some config: https://github.com/rg3/youtube-dl/blob/master/README.md#readme
youtube-dl URL https://www.youtube.com/watch?v=7NcP-KZr7g4

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source ~/.bash_profile

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#https://pycodestyle.readthedocs.io/en/latest/

pycodestyle --max-line-length=200 yourdoc.py

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#https://www.gdal.org/ogr2ogr.html

ogr2ogr -f KML tl_2015_ky_county.kml tl_2015_ky_county.shp

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#terminal
#h/t @brentajones
for i in *; do mv "$i" "$(echo $i|tr A-Z a-z|tr -d " ")"; done

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# more info: https://www.gdal.org/ogrinfo.html

ogrinfo -so -al geofile.shp

############ Example
ogrinfo -so -al tl_2015_ky_county.shp

output>>
INFO: Open of `tl_2015_ky_county.shp'
      using driver `ESRI Shapefile' successful.

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#python2
python -m SimpleHTTPServer 8000

#python3
python -m http.server

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https://stackoverflow.com/questions/27517425/apply-vs-transform-on-a-group-object