nanany(values: 'np.ndarray', *, axis: 'int | None' = None, skipna: 'bool' = True, mask: 'npt.NDArray[np.bool_] | None' = None) -> 'bool'

Parameters

values : ndarray

axis : int, optional

skipna : bool, default True

mask : ndarray[bool], optional

nan-mask if known

Returns

result : bool

Check if any elements along an axis evaluate to True.

Examples

This example is valid syntax, but we were not able to check execution

>>> import pandas.core.nanops as nanops
... s = pd.Series([1, 2])
... nanops.nanany(s)
True

This example is valid syntax, but we were not able to check execution

>>> import pandas.core.nanops as nanops
... s = pd.Series([np.nan])
... nanops.nanany(s)
False

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.nanops.nanany

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File: /pandas/core/nanops.py#488
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