numpy.ma.masked_all — NumPy v1.13 Manual (original) (raw)
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. |
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')