bigframes.pandas.DataFrame.isin#

DataFrame.isin(values) → DataFrame[source]#

Whether each element in the DataFrame is contained in values.

Examples:

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

[2 rows x 2 columns]

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

[2 rows x 2 columns]

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

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

[2 rows x 2 columns]

Parameters:

values (iterable, or dict) The result will only be true at a location if all the labels match. If values is a dict, the keys must be the column names, which must match.

Returns:

DataFrame of booleans showing whether each element in the DataFrame is contained in values.

Return type:

bigframes.pandas.DataFrame

Raises:

TypeError If values provided are not list-like objects.