code: def nonzero(self):
          
          msg = ("Series.nonzero() is deprecated "
                 "and will be removed in a future version."
                 "Use Series.to_numpy().nonzero() instead")
          warnings.warn(msg, FutureWarning, stacklevel=2)
          return self._values.nonzero()
docs: Return the *integer* indices of the elements that are non-zero.
  
          .. deprecated:: 0.24.0
             Please use .to_numpy().nonzero() as a replacement.
  
          This method is equivalent to calling `numpy.nonzero` on the
          series data. For compatibility with NumPy, the return value is
          the same (a tuple with an array of indices for each dimension),
          but it will always be a one-item tuple because series only have
          one dimension.
  
          See Also
          --------
          numpy.nonzero
  
          Examples
          --------
          >>> s = pd.Series([0, 3, 0, 4])
          >>> s.nonzero()
          (array([1, 3]),)
          >>> s.iloc[s.nonzero()[0]]
          1    3
          3    4
          dtype: int64
  
          >>> s = pd.Series([0, 3, 0, 4], index=['a', 'b', 'c', 'd'])
          # same return although index of s is different
          >>> s.nonzero()
          (array([1, 3]),)
          >>> s.iloc[s.nonzero()[0]]
          b    3
          d    4
          dtype: int64