bundles / numpy 2.4.3 / numpy / hsplit
_ArrayFunctionDispatcher
numpy:hsplit
Signature
def hsplit(ary, indices_or_sections)Summary
Split an array into multiple sub-arrays horizontally (column-wise).
Extended Summary
Please refer to the split documentation. hsplit is equivalent to split with axis=1, the array is always split along the second axis except for 1-D arrays, where it is split at axis=0.
Examples
import numpy as np x = np.arange(16.0).reshape(4, 4)✓
x np.hsplit(x, 2) np.hsplit(x, np.array([3, 6]))✗
[array([[ 0., 1., 2.],
[ 4., 5., 6.],
[ 8., 9., 10.],
[12., 13., 14.]]), array([[ 3.],
[ 7.],
[11.],
[15.]]), array([], shape=(4, 0), dtype=float64)]
With a higher dimensional array the split is still along the second axis.
x = np.arange(8.0).reshape(2, 2, 2)
✓x np.hsplit(x, 2)✗
[array([[[0., 1.]],
[[4., 5.]]]), array([[[2., 3.]],
[[6., 7.]]])]
With a 1-D array, the split is along axis 0.
x = np.array([0, 1, 2, 3, 4, 5]) np.hsplit(x, 2)✓
[array([0, 1, 2]), array([3, 4, 5])]
See also
- split
Split an array into multiple sub-arrays of equal size.
Aliases
numpy.hsplit