dask.array.ma.where
dask.array.ma.where¶
- dask.array.ma.where(condition, x=None, y=None)[source]¶
Return a masked array with elements from x or y, depending on condition.
This docstring was copied from numpy.ma.core.where.
Some inconsistencies with the Dask version may exist.
Note
When only condition is provided, this function is identical to nonzero. The rest of this documentation covers only the case where all three arguments are provided.
- Parameters
- conditionarray_like, bool
Where True, yield x, otherwise yield y.
- x, yarray_like, optional
Values from which to choose. x, y and condition need to be broadcastable to some shape.
- Returns
- outMaskedArray
An masked array with masked elements where the condition is masked, elements from x where condition is True, and elements from y elsewhere.
See also
numpy.where
Equivalent function in the top-level NumPy module.
nonzero
The function that is called when x and y are omitted
Examples
>>> import numpy as np >>> x = np.ma.array(np.arange(9.).reshape(3, 3), mask=[[0, 1, 0], ... [1, 0, 1], ... [0, 1, 0]]) >>> x masked_array( data=[[0.0, --, 2.0], [--, 4.0, --], [6.0, --, 8.0]], mask=[[False, True, False], [ True, False, True], [False, True, False]], fill_value=1e+20) >>> np.ma.where(x > 5, x, -3.1416) masked_array( data=[[-3.1416, --, -3.1416], [--, -3.1416, --], [6.0, --, 8.0]], mask=[[False, True, False], [ True, False, True], [False, True, False]], fill_value=1e+20)