mini(self, axis=None)

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 :None:None:`axis` is None, the result is a scalar. Otherwise, if :None:None:`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.

Return the array minimum along the specified axis.

Examples

This example is valid syntax, but we were not able to check execution

>>> x = np.ma.array(np.arange(6), mask=[0 ,1, 0, 0, 0 ,1]).reshape(3, 2)
... x
masked_array(
  data=[[0, --],
        [2, 3],
        [4, --]],
  mask=[[False,  True],
        [False, False],
        [False,  True]],
  fill_value=999999)

This example is valid syntax, but we were not able to check execution

>>> x.mini()
masked_array(data=0,
             mask=False,
       fill_value=999999)

This example is valid syntax, but we were not able to check execution

>>> x.mini(axis=0)
masked_array(data=[0, 3],
             mask=[False, False],
       fill_value=999999)

This example is valid syntax, but we were not able to check execution

>>> x.mini(axis=1)
masked_array(data=[0, 2, 4],
             mask=[False, False, False],
       fill_value=999999)

There is a small difference between mini and min :

This example is valid syntax, but we were not able to check execution

>>> x[:,1].mini(axis=0)
masked_array(data=3,
             mask=False,
       fill_value=999999)

This example is valid syntax, but we were not able to check execution

>>> x[:,1].min(axis=0)
3

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.ma.core.MaskedArray.mini

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GitHub : /numpy/ma/core.py#5730
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