Welcome to our Pandas in Python series! In this video, you'll learn everything you need to know about dropping rows and columns from a dataset using .drop( ), _get_numeric_data( ) and select_dtypes( ) functions.
Chapters:
00:00 - Intro
00:10 - Python Code Begins
01:25 - Dropping Columns
03:21 - inplace = True Explained
03:58 - Dropping Multiple Columns
05:09 - 'axis' Parameter Explained
05:51 - Dropping Rows
07:45 - 'axis = 0' Explained
08:10 - Retrieving Numeric Columns using _get_numeric_data() and select_dtypes() functions
09:58 - Retrieving Text Columns
10:16 - Outro
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