masked_all_like(arr)
Return an empty masked array of the same shape and dtype as the array :None:None:`arr`, where all the data are masked.
An array describing the shape and dtype of the required MaskedArray.
If :None:None:`arr` doesn't have a shape attribute (i.e. not an ndarray)
A masked array with all data masked.
Empty masked array with the properties of an existing array.
masked_all
Empty masked array with all elements masked.
>>> 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, dtype=float32)
The dtype of the masked array matches the dtype of :None:None:`arr`.
>>> arr.dtype dtype('float32')
>>> ma.masked_all_like(arr).dtype dtype('float32')See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.ma.extras.masked_all
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