argmax(self, axis=None, fill_value=None, out=None, *, keepdims=<no value>)
If None, the index is into the flattened array, otherwise along the specified axis
Value used to fill in the masked values. If None, the output of maximum_fill_value(self._data) is used instead.
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 array of indices of the maximum values along the given axis. Masked values are treated as if they had the value fill_value.
>>> a = np.arange(6).reshape(2,3)This example is valid syntax, but we were not able to check execution
... a.argmax() 5
>>> a.argmax(0) array([1, 1, 1])This example is valid syntax, but we were not able to check execution
>>> a.argmax(1) array([2, 2])See :
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