Created
January 15, 2019 02:11
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Find the intersecting and unique rows of two Pandas DataFrames
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| def compare_dfs(df_a, df_b, merge_cols): | |
| """ | |
| Returns intersection, its complement, only in df_a, only in df_b | |
| :param merge_cols: Columns to use for merging the two DataFrames | |
| """ | |
| df_a = df_a.copy() | |
| df_b = df_b.copy() | |
| DUM_A = 'DUMMY_COL_A' | |
| DUM_B = 'DUMMY_COL_B' | |
| df_a[DUM_A] = DUM_A | |
| df_b[DUM_B] = DUM_B | |
| merged_outer = df_a.merge(df_b, how='outer', on=merge_cols) | |
| intersection = merged_outer[~merged_outer[DUM_A].isnull() & ~merged_outer[DUM_B].isnull()] | |
| interse_comp = merged_outer[merged_outer[DUM_A].isnull() | merged_outer[DUM_B].isnull()] | |
| in_a_not_b = merged_outer[~merged_outer[DUM_A].isnull() & merged_outer[DUM_B].isnull()] | |
| in_b_not_a = merged_outer[merged_outer[DUM_A].isnull() & ~merged_outer[DUM_B].isnull()] | |
| intersection.drop([DUM_A, DUM_B], inplace=True, axis=1) | |
| interse_comp.drop([DUM_A, DUM_B], inplace=True, axis=1) | |
| in_a_not_b.drop([DUM_A, DUM_B], inplace=True, axis=1) | |
| in_b_not_a.drop([DUM_A, DUM_B], inplace=True, axis=1) | |
| return intersection, interse_comp, in_a_not_b, in_b_not_a |
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