numpy.ma.masked_array.argmax#
method
- ma.masked_array.argmax(axis=None, fill_value=None, out=None, *, keepdims=<no value>)[source]#
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_valuescalar or None, 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
>>> import numpy as np >>> a = np.arange(6).reshape(2,3) >>> a.argmax() 5 >>> a.argmax(0) array([1, 1, 1]) >>> a.argmax(1) array([2, 2])