Pandas read_csv Simplified | Header, Names, Index_col & More
In this step-by-step pandas tutorial, you'll learn about the pandas read csv function, exploring its arguments one by one. We'll demonstrate how to use read_csv with python pandas to efficiently load and prepare data for data analysis. I use Anaconda's Jupyter Lab interface to demonstrate the process.
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The arguments covered in this part of the series are:
1) header (which I accidently call "headers" a number of times in the video - sorry!)
2) names
3) index_col
4) usecols
5) skiprows
6) nrows
7) skip_blank_lines & dropna
8) on_bad_lines
9) skipfooter
00:00 :: Intro and csv review
00:59 :: header
01:57 :: names
02:30 :: index_col
03:28 :: usecols
03:57 :: skiprows
04:55 :: nrows
05:26 :: skip_blank_lines & dropna
06:26 :: on_bad_lines
07:54 :: skipfooter
08:26 :: Overview
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