numpy.ma.masked_equal()

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, with condition = (x == value). For floating point arrays, consider using masked_values(x, value).

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)

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.ma.masked_equal.html

doc_NumPy

2025-01-10 15:47:30

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