davrot/pytutorial
1
0
Fork 0
mirror of https://github.com/davrot/pytutorial.git synced 2025-06-07 07:00:02 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Update README.md

Browse source 
Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
This commit is contained in:
David Rotermund 2023-11-23 18:29:53 +01:00 • committed by GitHub
parent b03b184a08
commit 9998bf9562
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

3
numpy_random/README.md
View file

@ -57,6 +57,7 @@ rng = np.random.default_rng()
print(rng) # -> Generator(PCG64) print(rng) # -> Generator(PCG64)
``` ```
If you don't like it there are other options: If you don't like it there are other options:
| | | |
| -------------| | -------------|
|[MT19937](https://numpy.org/doc/stable/reference/random/bit_generators/mt19937.html)| |[MT19937](https://numpy.org/doc/stable/reference/random/bit_generators/mt19937.html)|
@ -67,6 +68,7 @@ If you don't like it there are other options:
## [Distributions](https://numpy.org/doc/stable/reference/random/generator.html#distributions) (you will use) ## [Distributions](https://numpy.org/doc/stable/reference/random/generator.html#distributions) (you will use)
The most important ones are in **bold**. If you see a function argument *out*, then you can reuse an existing np array (i.e. [in-place operation](https://numpy.org/doc/stable/reference/random/generator.html#in-place-vs-copy)) as target. The most important ones are in **bold**. If you see a function argument *out*, then you can reuse an existing np array (i.e. [in-place operation](https://numpy.org/doc/stable/reference/random/generator.html#in-place-vs-copy)) as target.
| | | | | |
| ------------- |:-------------:| | ------------- |:-------------:|
|**[integers(low[, high, size, dtype, endpoint])](https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.integers.html#numpy.random.Generator.integers)**| Return random integers from low (inclusive) to high (exclusive), or if endpoint=True, low (inclusive) to high (inclusive). | |**[integers(low[, high, size, dtype, endpoint])](https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.integers.html#numpy.random.Generator.integers)**| Return random integers from low (inclusive) to high (exclusive), or if endpoint=True, low (inclusive) to high (inclusive). |
@ -131,6 +133,7 @@ p: [0.16666667 0.33333333 0.5 ]
``` ```
## [Permutations](https://numpy.org/doc/stable/reference/random/generator.html#permutations) ## [Permutations](https://numpy.org/doc/stable/reference/random/generator.html#permutations)
| | | | | |
| ------------- |:-------------:| | ------------- |:-------------:|
|[shuffle(x[, axis])](https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.shuffle.html#numpy.random.Generator.shuffle)|Modify an array or sequence in-place by shuffling its contents.| |[shuffle(x[, axis])](https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.shuffle.html#numpy.random.Generator.shuffle)|Modify an array or sequence in-place by shuffling its contents.|