MaskedArray.argmin(axis=None, fill_value=None, out=None)
[source]
Return array of indices to the minimum values along the given axis.
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 minimum_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. |
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Returns: |
ndarray or scalar If multi-dimension input, returns a new ndarray of indices to the minimum values along the given axis. Otherwise, returns a scalar of index to the minimum values along the given axis. |
>>> x = np.ma.array(arange(4), mask=[1,1,0,0]) >>> x.shape = (2,2) >>> print(x) [[-- --] [2 3]] >>> print(x.argmin(axis=0, fill_value=-1)) [0 0] >>> print(x.argmin(axis=0, fill_value=9)) [1 1]
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https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.ma.MaskedArray.argmin.html