Repository files navigation

Useful Pandas

Short examples of functionality in Python pandas.

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
data_etc		data_etc
01_Create a DataFrame.ipynb		01_Create a DataFrame.ipynb
02_Add new columns to a DataFrame.ipynb		02_Add new columns to a DataFrame.ipynb
03_Relabel DataFrame columns.ipynb		03_Relabel DataFrame columns.ipynb
04_Sort a DataFrame.ipynb		04_Sort a DataFrame.ipynb
05_Filter a DataFrame.ipynb		05_Filter a DataFrame.ipynb
06_Transpose a DataFrame.ipynb		06_Transpose a DataFrame.ipynb
07_Basic inspection of a DataFrame.ipynb		07_Basic inspection of a DataFrame.ipynb
08_Slice a DataFrame with .loc.ipynb		08_Slice a DataFrame with .loc.ipynb
09_Set a Datetime Column as the Index.ipynb		09_Set a Datetime Column as the Index.ipynb
10_Convert a String Datetime Column to Proper Datetime.ipynb		10_Convert a String Datetime Column to Proper Datetime.ipynb
11_Create a Formatted String Datetime from a Proper Datetime.ipynb		11_Create a Formatted String Datetime from a Proper Datetime.ipynb
12_Aggregate Data with Groupby.ipynb		12_Aggregate Data with Groupby.ipynb
13_Dummy Variables AKA One-Hot Encoding.ipynb		13_Dummy Variables AKA One-Hot Encoding.ipynb
14_Saving Multiple DataFrames to a Single Excel File.ipynb		14_Saving Multiple DataFrames to a Single Excel File.ipynb
15_`Renaming` the index.ipynb		15_`Renaming` the index.ipynb
16_Sorting a DataFrame by Custom Values.ipynb		16_Sorting a DataFrame by Custom Values.ipynb
README.md		README.md
requirements.txt		requirements.txt