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_wingsfalcon         2          2dog            4          0[2 rows x 2 columns]

Whenvalues is a list check whether every value in the DataFrame ispresent in the list (which animals have 0 or 2 legs or wings).

>>>df.isin([0,2])        num_legs  num_wingsfalcon      True       Truedog        False       True[2 rows x 2 columns]

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

>>>df.isin({'num_wings':[0,3]})        num_legs  num_wingsfalcon     False      Falsedog        False       True[2 rows x 2 columns]

Parameters:

values (iterable, ordict) – The result will only be true at a location if all thelabels match. Ifvalues is a dict, the keys must bethe column names, which must match.

Returns:

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

Return type:

bigframes.pandas.DataFrame

Raises:

TypeError – If values provided are not list-like objects.