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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -584,6 +584,77 @@ Output:
[ 4 20 120]]
```
## [numpy.ndarray.clip](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.clip.html)
```python
ndarray.clip(min=None, max=None, out=None, **kwargs)
```
> Return an array whose values are limited to [min, max]. One of max or min must be given.
```python
import numpy as np
A = np.arange(0, 8).reshape((2, 4))
print(A)
print()
print(A.clip(min=1, max=6))
```
Output:
```python
[[0 1 2 3]
[4 5 6 7]]
[[1 1 2 3]
[4 5 6 6]]
```
## [numpy.ndarray.max](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.max.html#numpy.ndarray.max) and [numpy.ndarray.min](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.min.html#numpy.ndarray.min)
```python
ndarray.max(axis=None, out=None, keepdims=False, initial=<no value>, where=True)
```
> Return the maximum along a given axis.
```python
ndarray.min(axis=None, out=None, keepdims=False, initial=<no value>, where=True)
```
> Return the minimum along a given axis.
```python
import numpy as np
A = np.arange(0, 6).reshape((2, 3))
print(A)
print()
print(A.max()) # -> 5
print(A.max(axis=0)) # -> [3 4 5]
print(A.max(axis=0).shape) # -> (3,)
print(A.max(axis=1)) # -> [2 5]
print(A.max(axis=1).shape) # -> (2,)
print(A.max(axis=0, keepdims=True)) # -> [[3 4 5]]
print(A.max(axis=0, keepdims=True).shape) # -> (1, 3)
print(A.max(axis=1, keepdims=True))
print(A.max(axis=0, keepdims=True).shape) # -> (1, 3)
```
Output:
```python
[[0 1 2]
[3 4 5]]
[[2]
[5]]
```
## [Array methods](https://numpy.org/doc/stable/reference/arrays.ndarray.html#array-methods)
### [Array conversion](https://numpy.org/doc/stable/reference/arrays.ndarray.html#array-conversion)