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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -446,7 +446,7 @@ idx = A.argsort()
print(idx) # -> [ 0 6 1 7 2 8 3 9 4 10 5 11] print(idx) # -> [ 0 6 1 7 2 8 3 9 4 10 5 11]
``` ```
## [numpy.ndarray.sum](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.sum.html) ## [numpy.ndarray.sum](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.sum.html) and [numpy.ndarray.mean](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.mean.html#numpy.ndarray.mean)
```python ```python
ndarray.sum(axis=None, dtype=None, out=None, keepdims=False, initial=0, where=True) ndarray.sum(axis=None, dtype=None, out=None, keepdims=False, initial=0, where=True)
@ -454,6 +454,13 @@ ndarray.sum(axis=None, dtype=None, out=None, keepdims=False, initial=0, where=Tr
> Return the sum of the array elements over the given axis. > Return the sum of the array elements over the given axis.
```python
ndarray.mean(axis=None, dtype=None, out=None, keepdims=False, *, where=True)
```
> Returns the average of the array elements along given axis.
```python ```python
import numpy as np import numpy as np
@ -654,6 +661,48 @@ Output:
[5]] [5]]
``` ```
## [numpy.ndarray.argmax](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.argmax.html#numpy.ndarray.argmax) and [numpy.ndarray.argmin](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.argmin.html#numpy.ndarray.argmin)
```python
ndarray.argmax(axis=None, out=None, *, keepdims=False)
```
> Return indices of the maximum values along the given axis.
```python
ndarray.argmin(axis=None, out=None, *, keepdims=False)
```
> Return indices of the minimum values along the given axis.
```python
import numpy as np
A = np.arange(0, 6).reshape((2, 3))
print(A)
print()
print(A.argmax()) # -> 5
print(A.argmax(axis=0)) # -> [1 1 1]
print(A.argmax(axis=0).shape) # -> (3,)
print(A.argmax(axis=1)) # -> [2 2]
print(A.argmax(axis=1).shape) # -> (2,)
print(A.argmax(axis=0, keepdims=True)) # -> [[1 1 1]]
print(A.argmax(axis=0, keepdims=True).shape) # -> (1, 3)
print(A.argmax(axis=1, keepdims=True))
print(A.argmax(axis=0, keepdims=True).shape) # -> (1, 3)
```
Output:
```python
[[0 1 2]
[3 4 5]]
[[2]
[2]]
```
## [Array methods](https://numpy.org/doc/stable/reference/arrays.ndarray.html#array-methods) ## [Array methods](https://numpy.org/doc/stable/reference/arrays.ndarray.html#array-methods)