cudf.Series.isin#
- Series.isin(values)[source]#
Check whether values are contained in Series.
- Parameters:
- valuesset or list-like
The sequence of values to test. Passing in a single string will raise a TypeError. Instead, turn a single string into a list of one element.
- Returns:
- resultSeries
Series of booleans indicating if each element is in values.
- Raises:
- TypeError
If values is a string
Examples
>>> import cudf >>> s = cudf.Series(['lama', 'cow', 'lama', 'beetle', 'lama', ... 'hippo'], name='animal') >>> s.isin(['cow', 'lama']) 0 True 1 True 2 True 3 False 4 True 5 False Name: animal, dtype: bool
Passing a single string as
s.isin('lama')
will raise an error. Use a list of one element instead:>>> s.isin(['lama']) 0 True 1 False 2 True 3 False 4 True 5 False Name: animal, dtype: bool
Strings and integers are distinct and are therefore not comparable:
>>> cudf.Series([1]).isin(['1']) 0 False dtype: bool >>> cudf.Series([1.1]).isin(['1.1']) 0 False dtype: bool