code: def nanany(values, axis=None, skipna=True, mask=None):
      
      values, mask, dtype, _, _ = _get_values(values, skipna, False, copy=skipna,
                                              mask=mask)
      return values.any(axis)
docs: 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