jax.numpy.compress#
- jax.numpy.compress(condition, a, axis=None, out=None)[source]#
Return selected slices of an array along given axis.
LAX-backend implementation of
numpy.compress().Original docstring below.
When working along a given axis, a slice along that axis is returned in output for each index where condition evaluates to True. When working on a 1-D array, compress is equivalent to extract.
- Parameters:
condition (1-D array of bools) – Array that selects which entries to return. If len(condition) is less than the size of a along the given axis, then output is truncated to the length of the condition array.
a (array_like) – Array from which to extract a part.
axis (int, optional) – Axis along which to take slices. If None (default), work on the flattened array.
out (None)
- Returns:
compressed_array – A copy of a without the slices along axis for which condition is false.
- Return type:
ndarray