cudf.DataFrame.isin#

DataFrame.isin(values)[source]#

Whether each element in the DataFrame is contained in values.

Parameters:

valuesiterable, Series, DataFrame or dict: 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 dict, 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:: DataFrame of booleans showing whether each element in the DataFrame is contained in values.

Examples

>>> import cudf
>>> df = cudf.DataFrame({'num_legs': [2, 4], 'num_wings': [2, 0]},
...                     index=['falcon', 'dog'])
>>> df
        num_legs  num_wings
falcon         2          2
dog            4          0

When values is a list check whether every value in the DataFrame is present in the list (which animals have 0 or 2 legs or wings)

>>> df.isin([0, 2])
        num_legs  num_wings
falcon      True       True
dog        False       True

When values is a dict, we can pass values to check for each column separately:

>>> df.isin({'num_wings': [0, 3]})
        num_legs  num_wings
falcon     False      False
dog        False       True

When values is a Series or DataFrame the index and column must match. Note that ‘falcon’ does not match based on the number of legs in other.

>>> other = cudf.DataFrame({'num_legs': [8, 2], 'num_wings': [0, 2]},
...                         index=['spider', 'falcon'])
>>> df.isin(other)
        num_legs  num_wings
falcon      True       True
dog        False      False