numpy.ma.set_fill_value#

ma.set_fill_value(a, fill_value)[source]#

Set the filling value of a, if a is a masked array.

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.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])

numpy.ma.minimum_fill_value

numpy.ma.anom