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@ -10,6 +10,10 @@
Questions to [David Rotermund](mailto:davrot@uni-bremen.de)
Choose vs select:
* Choose: One Matrix with integer values 0,...N-1
* Select: N binary matrices
## [numpy.choose](https://numpy.org/doc/stable/reference/generated/numpy.choose.html#numpy-choose)
@ -30,7 +34,7 @@ numpy.choose(a, choices, out=None, mode='raise')
> * if mode='wrap', values in a (and thus Ba) may be any (signed) integer; modular arithmetic is used to map integers outside the range [0, n-1] back into that range; and then the new array is constructed as above;
> * if mode='clip', values in a (and thus Ba) may be any (signed) integer; negative integers are mapped to 0; values greater than n-1 are mapped to n-1; and then the new array is constructed as above.
### Example:
### Example
|||
|---|---|
@ -87,3 +91,67 @@ Output:
[16 27 28]]
```
## [numpy.select](https://numpy.org/doc/stable/reference/generated/numpy.select.html)
```python
numpy.select(condlist, choicelist, default=0)[source]
```
> Return an array drawn from elements in choicelist, depending on conditions.
### Example
|||
|---|---|
|chosen_mask == 0| use a|
|chosen_mask == 1| use b|
|chosen_mask == 2| use c|
```python
import numpy as np
a = np.arange(0, 9).reshape((3, 3))
print(a)
print()
b = np.arange(10, 19).reshape((3, 3))
print(b)
print()
c = np.arange(20, 29).reshape((3, 3))
print(c)
print()
rng = np.random.default_rng()
chosen_mask = rng.integers(size=c.shape, low=0, high=3)
print(chosen_mask)
print()
d = np.select([chosen_mask == 0, chosen_mask == 1, chosen_mask == 2], (a, b, c))
print(d)
```
Output:
```python
[[0 1 2]
[3 4 5]
[6 7 8]]
[[10 11 12]
[13 14 15]
[16 17 18]]
[[20 21 22]
[23 24 25]
[26 27 28]]
[[2 2 0]
[0 0 2]
[0 1 0]]
[[20 21 2]
[ 3 4 25]
[ 6 17 8]]
```