numpy.ma.masked_all¶
- numpy.ma.masked_all(shape, dtype=<type 'float'>)[source]¶
Empty masked array with all elements masked.
Return an empty masked array of the given shape and dtype, where all the data are masked.
Parameters: shape : tuple
Shape of the required MaskedArray.
dtype : dtype, optional
Data type of the output.
Returns: a : MaskedArray
A masked array with all data masked.
See also
- masked_all_like
- Empty masked array modelled on an existing array.
Examples
>>> import numpy.ma as ma >>> ma.masked_all((3, 3)) masked_array(data = [[-- -- --] [-- -- --] [-- -- --]], mask = [[ True True True] [ True True True] [ True True True]], fill_value=1e+20)
The dtype parameter defines the underlying data type.
>>> a = ma.masked_all((3, 3)) >>> a.dtype dtype('float64') >>> a = ma.masked_all((3, 3), dtype=np.int32) >>> a.dtype dtype('int32')