parameters: (self, axis=None, fill_value=None, out=None)
return_statement: return d.argmax(axis, out=out)
docstring: Returns array of indices of the maximum values along the given axis.
          Masked values are treated as if they had the value fill_value.
  
          Parameters
          ----------
          axis : {None, integer}
              If None, the index is into the flattened array, otherwise along
              the specified axis
          fill_value : {var}, optional
              Value used to fill in the masked values.  If None, the output of
              maximum_fill_value(self._data) is used instead.
          out : {None, array}, optional
              Array into which the result can be placed. Its type is preserved
              and it must be of the right shape to hold the output.
  
          Returns
          -------
          index_array : {integer_array}
  
          Examples
          --------
          >>> a = np.arange(6).reshape(2,3)
          >>> a.argmax()
          5
          >>> a.argmax(0)
          array([1, 1, 1])
          >>> a.argmax(1)
          array([2, 2])
docstring_summary: Returns array of indices of the maximum values along the given axis.
          Masked values are treated as if they had the value fill_value.
docstring_tokens: Returns array of indices of the maximum values along the given axis . Masked values are treated as if they had the value fill_value .
function: def argmax(self, axis=None, fill_value=None, out=None):
          """
          Returns array of indices of the maximum values along the given axis.
          Masked values are treated as if they had the value fill_value.
  
          Parameters
          ----------
          axis : {None, integer}
              If None, the index is into the flattened array, otherwise along
              the specified axis
          fill_value : {var}, optional
              Value used to fill in the masked values.  If None, the output of
              maximum_fill_value(self._data) is used instead.
          out : {None, array}, optional
              Array into which the result can be placed. Its type is preserved
              and it must be of the right shape to hold the output.
  
          Returns
          -------
          index_array : {integer_array}
  
          Examples
          --------
          >>> a = np.arange(6).reshape(2,3)
          >>> a.argmax()
          5
          >>> a.argmax(0)
          array([1, 1, 1])
          >>> a.argmax(1)
          array([2, 2])
  
          """
          if fill_value is None:
              fill_value = maximum_fill_value(self._data)
          d = self.filled(fill_value).view(ndarray)
          return d.argmax(axis, out=out)
function_tokens: def argmax ( self , axis = None , fill_value = None , out = None ) : if fill_value is None : fill_value = maximum_fill_value ( self . _data ) d = self . filled ( fill_value ) . view ( ndarray ) return d . argmax ( axis , out = out )