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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -193,3 +193,41 @@ idx_1 = np.ones((2, 3, 4), dtype=int)
print(a[:, idx_0, idx_1].shape) # -> (10, 2, 3, 4, 40, 50) print(a[:, idx_0, idx_1].shape) # -> (10, 2, 3, 4, 40, 50)
print(a[:, idx_0, :, idx_1].shape) # -> (2, 3, 4, 10, 30, 50) print(a[:, idx_0, :, idx_1].shape) # -> (2, 3, 4, 10, 30, 50)
``` ```
## [numpy.ix_](https://numpy.org/doc/stable/reference/generated/numpy.ix_.html)
{: .topic-optional}
This is an optional topic!
```python
numpy.ix_(*args)
```
> Construct an open mesh from multiple sequences.
>
> This function takes N 1-D sequences and returns N outputs with N dimensions each, such that the shape is 1 in all but one dimension and the dimension with the non-unit shape value cycles through all N dimensions.
```python
import numpy as np
a = np.arange(0, 9).reshape(3, 3)
print(a)
print()
print(a[np.ix_([0, 1], [0, 1])])
print()
print(a[np.ix_([0, 1], [0, 2])])
```
Output:
```python
[[0 1 2]
[3 4 5]
[6 7 8]]
[[0 1]
[3 4]]
[[0 2]
[3 5]]
```