This is documentation for an old release of NumPy (version 1.10.1). Read this page in the documentation of the latest stable release (version > 1.17).
numpy.ma.masked_array.mini¶
- masked_array.mini(axis=None)[source]¶
Return the array minimum along the specified axis.
Parameters: axis : int, optional
The axis along which to find the minima. Default is None, in which case the minimum value in the whole array is returned.
Returns: min : scalar or MaskedArray
If axis is None, the result is a scalar. Otherwise, if axis is given and the array is at least 2-D, the result is a masked array with dimension one smaller than the array on which mini is called.
Examples
>>> x = np.ma.array(np.arange(6), mask=[0 ,1, 0, 0, 0 ,1]).reshape(3, 2) >>> print x [[0 --] [2 3] [4 --]] >>> x.mini() 0 >>> x.mini(axis=0) masked_array(data = [0 3], mask = [False False], fill_value = 999999) >>> print x.mini(axis=1) [0 2 4]