Hey Coders! Included within your pandas data cleaning tasks is making sure your column and index names are both readable and accessible. This can come in handy for both understanding your dataframe's schema as well as performing efficient joins and merges. Furthermore, renaming columns to more human-readable names can assist in your data analysis and presentation. Watch this tutorial to learn how to both set your dataframe's index as well as rename those columns!
Check out the source code on GitHub:
https://github.com/davidtheweiss/pand...
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🧑💻 Pandas Documentation: https://pandas.pydata.org/docs/refere...
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🕒 Timestamps
0:00 Intro
0:36 Importing pandas and displaying our data
1:25 Renaming columns and indices using rename()
4:52 Passing a custom function into the rename method
6:02 Using the dataframe's ".columns" property to rename
7:50 Setting the index from an existing column
10:17 Converting the dataframe's indices into a column with reset_index()
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