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numpy.ma.masked_all_like(arr)
[source] -
Empty masked array with the properties of an existing array.
Return an empty masked array of the same shape and dtype as the array
arr
, where all the data are masked.Parameters: arr : ndarray
An array describing the shape and dtype of the required MaskedArray.
Returns: a : MaskedArray
A masked array with all data masked.
Raises: AttributeError
If
arr
doesn?t have a shape attribute (i.e. not an ndarray)See also
-
masked_all
- Empty masked array with all elements masked.
Examples
>>> import numpy.ma as ma >>> arr = np.zeros((2, 3), dtype=np.float32) >>> arr array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32) >>> ma.masked_all_like(arr) masked_array(data = [[-- -- --] [-- -- --]], mask = [[ True True True] [ True True True]], fill_value=1e+20)
The dtype of the masked array matches the dtype of
arr
.>>> arr.dtype dtype('float32') >>> ma.masked_all_like(arr).dtype dtype('float32')
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numpy.ma.masked_all_like()
2017-01-10 18:15:32
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