dask.array.ma.set_fill_value
dask.array.ma.set_fill_value¶
- dask.array.ma.set_fill_value(a, fill_value)[source]¶
Set the filling value of a, if a is a masked array.
This docstring was copied from numpy.ma.set_fill_value.
Some inconsistencies with the Dask version may exist.
This function changes the fill value of the masked array a in place. If a is not a masked array, the function returns silently, without doing anything.
- Parameters
- aarray_like
Input array.
- fill_valuedtype
Filling value. A consistency test is performed to make sure the value is compatible with the dtype of a.
- Returns
- None
Nothing returned by this function.
See also
maximum_fill_value
Return the default fill value for a dtype.
MaskedArray.fill_value
Return current fill value.
MaskedArray.set_fill_value
Equivalent method.
Examples
>>> import numpy as np >>> import numpy.ma as ma >>> a = np.arange(5) >>> a array([0, 1, 2, 3, 4]) >>> a = ma.masked_where(a < 3, a) >>> a masked_array(data=[--, --, --, 3, 4], mask=[ True, True, True, False, False], fill_value=999999) >>> ma.set_fill_value(a, -999) >>> a masked_array(data=[--, --, --, 3, 4], mask=[ True, True, True, False, False], fill_value=-999)
Nothing happens if a is not a masked array.
>>> a = list(range(5)) >>> a [0, 1, 2, 3, 4] >>> ma.set_fill_value(a, 100) >>> a [0, 1, 2, 3, 4] >>> a = np.arange(5) >>> a array([0, 1, 2, 3, 4]) >>> ma.set_fill_value(a, 100) >>> a array([0, 1, 2, 3, 4])