numpy.ma.masked_all_like¶
-
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')