Created
September 10, 2019 06:01
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Some tricks of pandas for working more fast
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| # source: https://towardsdatascience.com/10-python-pandas-tricks-that-make-your-work-more-efficient-2e8e483808ba | |
| pd.read_csv('file_name.csv', nrows = 5, usecols=['c1', 'c2'], dtype = {‘c1’: str, ‘c2’: int, …}) | |
| argument | |
| * nrows = 5 (it will select only 5 rows from dataframe) | |
| * usecols (select certain columns on df creation) | |
| * dtype (specify col data type) | |
| * |
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