Python pandas read_csv // Load a CSV into pandas from a file or URL // index_col, na_values, nrows

Learn how to load a CSV file into Python pandas with this quick tutorial. This video from my "Pandas Tips" series walks you through reading an CSV file into pandas from your computer and from a GitHub URL. You'll also be able to level up your pandas skills by setting the column that should be treated as the index of your pandas dataframe with the index_col option. Then tell Python pandas which strings should be treated like missing values with na_values. Finally, limit the number of rows pandas reads in from your CSV with the nrows argument. This option helps you only pull in a chunk of data when you are creating your data analysis pipeline. Check this video out to level up your Python pandas skills and make the most out of the pandas read_csv function -- it will save you a lot of data cleaning time later!

0:00 Introduction
0:55 GitHub Links
1:45 Read CSV from Computer
4:14 Read from URL
6:14 Level UP! index_col
8:00 Set Missing Values: na_values
11:07 Limit Rows: nrows
13:01 Conclusion

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