cudf.Index.hasnans#

property Index.hasnans#

Return True if there are any NaNs or nulls.

Returns:
outbool

If Series has at least one NaN or null value, return True, if not return False.

Examples

>>> import cudf
>>> import numpy as np
>>> index = cudf.Index([1, 2, np.nan, 3, 4], nan_as_null=False)
>>> index
Index([1.0, 2.0, nan, 3.0, 4.0], dtype='float64')
>>> index.hasnans
True

hasnans returns True for the presence of any NA values:

>>> index = cudf.Index([1, 2, None, 3, 4])
>>> index
Index([1, 2, <NA>, 3, 4], dtype='int64')
>>> index.hasnans
True