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August 30, 2022 16:34
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How to use pandas testing assert_frame_equal
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| import pandas as pd | |
| from pandas.testing import assert_frame_equal | |
| df_one = pd.DataFrame( | |
| {"city": ["Tokyo", "Delhi"], "population": [13_515_271, 16_753_235]} | |
| ) | |
| df_two = df_one[["population", "city"]].copy(deep=True) | |
| assert_frame_equal(left=df_one, right=df_two) | |
| """ | |
| AssertionError: DataFrame.columns are different | |
| DataFrame.columns values are different (100.0 %) | |
| [left]: Index(['city', 'population'], dtype='object') | |
| [right]: Index(['population', 'city'], dtype='object') | |
| """ | |
| # enforce order of columns to be the same in df_two | |
| assert_frame_equal(left=df_one, right=df_two[["city", "population"]]) | |
| # ignoring order of columns with check_like=True, default is False | |
| assert_frame_equal(left=df_one, right=df_two, check_like=True) |
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dependencies: python3.10, pandas==1.4.3