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numpy.ma.masked_equal(x, value, copy=True)
[source] -
Mask an array where equal to a given value.
This function is a shortcut to
masked_where
, withcondition
= (x == value). For floating point arrays, consider usingmasked_values(x, value)
.See also
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masked_where
- Mask where a condition is met.
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masked_values
- Mask using floating point equality.
Examples
>>> import numpy.ma as ma >>> a = np.arange(4) >>> a array([0, 1, 2, 3]) >>> ma.masked_equal(a, 2) masked_array(data = [0 1 -- 3], mask = [False False True False], fill_value=999999)
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numpy.ma.masked_equal()
2017-01-10 18:15:33
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