cleaning data using Pandas
(be sure you have Fork'd and then Clone'd this repo)
- Clear out all the Cell output.
- Step through notebook.
- Create a new python file (sc2.py), that has all the correct and needed steps to transform df[] to that same as the output of df_2[] that gets produced by ./salescleanup.py
- You will be copying lines from the notebook, and pasting them into the py file.
- Make sure to only copy the lines that transform the dataframe, not the working attempts at trying to get a single transform step right.
- when you
python3 ./sc2.pyyou should get the same kind of output as this - when you achieve the output correctly,
git pushyour changes everything to your forked copy.
(base) Aeneid:notebooks kristofer$ python3 ./salescleanup.py
Customer Number Customer Name 2016 2017 Percent Growth Jan Units Month Day Year Active Start_Date
0 10002 Quest Industries 125000.0 162500.0 0.30 500.0 1 10 2015 True 2015-01-10
1 552278 Smith Plumbing 920000.0 1012000.0 0.10 700.0 6 15 2014 True 2014-06-15
2 23477 ACME Industrial 50000.0 62500.0 0.25 125.0 3 29 2016 True 2016-03-29
3 24900 Brekke LTD 350000.0 490000.0 0.04 75.0 10 27 2015 True 2015-10-27
4 651029 Harbor Co 15000.0 12750.0 -0.15 NaN 2 2 2014 False 2014-02-02
If you get the
urllib.error.URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate
error, perform these steps...
# in shell/terminal
$ pip3 install certifi
$ /Applications/Python\ 3.8/Install\ Certificates.command
(if your Python3 is 3.8. You might have 3.7, change that in the line above.
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