pandas.DataFrame.isin¶
- DataFrame.isin(values)¶
Return boolean DataFrame showing whether each element in the DataFrame is contained in values.
Parameters: values : iterable, Series, DataFrame or dictionary
The result will only be true at a location if all the labels match. If values is a Series, that’s the index. If values is a dictionary, the keys must be the column names, which must match. If values is a DataFrame, then both the index and column labels must match.
Returns: DataFrame of booleans
Examples
When values is a list:
>>> df = DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'f']}) >>> df.isin([1, 3, 12, 'a']) A B 0 True True 1 False False 2 True False
When values is a dict:
>>> df = DataFrame({'A': [1, 2, 3], 'B': [1, 4, 7]}) >>> df.isin({'A': [1, 3], 'B': [4, 7, 12]}) A B 0 True False # Note that B didn't match the 1 here. 1 False True 2 True True
When values is a Series or DataFrame:
>>> df = DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'f']}) >>> other = DataFrame({'A': [1, 3, 3, 2], 'B': ['e', 'f', 'f', 'e']}) >>> df.isin(other) A B 0 True False 1 False False # Column A in `other` has a 3, but not at index 1. 2 True True