DataFrame.isin(values)
[source]
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 |
---|---|
Returns: |
DataFrame of booleans |
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
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http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DataFrame.isin.html