Check if any elements along an axis evaluate to True.

    Parameters
    ----------
    values : ndarray
    axis : int, optional
    skipna : bool, default True
    mask : ndarray[bool], optional
        nan-mask if known

    Returns
    -------
    result : bool

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

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

def nanany(values, axis=None, skipna=True, mask=None):
    """
    Check if any elements along an axis evaluate to True.

    Parameters
    ----------
    values : ndarray
    axis : int, optional
    skipna : bool, default True
    mask : ndarray[bool], optional
        nan-mask if known

    Returns
    -------
    result : bool

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

    >>> import pandas.core.nanops as nanops
    >>> s = pd.Series([np.nan])
    >>> nanops.nanany(s)
    False
    """
    values, mask, dtype, _, _ = _get_values(values, skipna, False, copy=skipna,
                                            mask=mask)
    return values.any(axis)