numpy.ma.masked_object()

Mask the array x where the data are exactly equal to value.

This function is similar to masked_values, but only suitable for object arrays: for floating point, use masked_values instead.

Examples

>>> import numpy.ma as ma
>>> food = np.array(['green_eggs', 'ham'], dtype=object)
>>> # don't eat spoiled food
>>> eat = ma.masked_object(food, 'green_eggs')
>>> print(eat)
[-- ham]
>>> # plain ol` ham is boring
>>> fresh_food = np.array(['cheese', 'ham', 'pineapple'], dtype=object)
>>> eat = ma.masked_object(fresh_food, 'green_eggs')
>>> print(eat)
[cheese ham pineapple]

Note that mask is set to nomask if possible.

>>> eat
masked_array(data = [cheese ham pineapple],
      mask = False,
      fill_value=?)