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Diffstat (limited to 'numpy/ma/core.py')
| -rw-r--r-- | numpy/ma/core.py | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/numpy/ma/core.py b/numpy/ma/core.py index d3cbb33e5..375d5c770 100644 --- a/numpy/ma/core.py +++ b/numpy/ma/core.py @@ -5769,6 +5769,36 @@ class MaskedArray(ndarray): ma.minimum_fill_value Returns the minimum filling value for a given datatype. + Examples + -------- + >>> import numpy.ma as ma + >>> x = [[1., -2., 3.], [0.2, -0.7, 0.1]] + >>> mask = [[1, 1, 0], [0, 0, 1]] + >>> masked_x = ma.masked_array(x, mask) + >>> masked_x + masked_array( + data=[[--, --, 3.0], + [0.2, -0.7, --]], + mask=[[ True, True, False], + [False, False, True]], + fill_value=1e+20) + >>> ma.min(masked_x) + -0.7 + >>> ma.min(masked_x, axis=-1) + masked_array(data=[3.0, -0.7], + mask=[False, False], + fill_value=1e+20) + >>> ma.min(masked_x, axis=0, keepdims=True) + masked_array(data=[[0.2, -0.7, 3.0]], + mask=[[False, False, False]], + fill_value=1e+20) + >>> mask = [[1, 1, 1,], [1, 1, 1]] + >>> masked_x = ma.masked_array(x, mask) + >>> ma.min(masked_x, axis=0) + masked_array(data=[--, --, --], + mask=[ True, True, True], + fill_value=1e+20, + dtype=float64) """ kwargs = {} if keepdims is np._NoValue else {'keepdims': keepdims} |