Some useful np.random functions
$pip install numpy-choices
from numpy_choices import get_random_floats, get_random_ints, get_random_items_from_list
rand = get_random_items_from_list(
list(range(1, 20)), size=10, replace=False, p=None, replace_raise=False
)
print(rand)
# [ 6 16 10 2 9 5 12 15 4 19]
print(get_random_ints(low=0, high=20, size=10))
# [ 0 14 3 14 3 11 15 0 4 5]
print(get_random_floats(low=0, high=20, size=10))
# [10.69714652 9.85398014 1.79753204 18.85165542 8.35101616 9.00431022
# 0.04652976 4.05292685 13.6940055 2.25818349]
1 maintainer
Metadata
1 maintainer
Release files for numpy-choices 0.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| numpy_choices-0.10.tar.gz | 3.3 kB | Without provenance | Details for numpy_choices-0.10.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| numpy_choices-0.10-py3-none-any.whl | Python 3 | none | any | Details for numpy_choices-0.10-py3-none-any.whl |
Total release size: 8.0 kB
Release files / numpy_choices-0.10.tar.gz
| Download URL | numpy_choices-0.10.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
71976c605427718fae7b47116b0148eb70c9d6a0241fce9a89ac3a87da3a994c
|
|
BLAKE2b-256 checksum How to use checksums |
84644676dfd135cc965d0c97a4caa6bfe317da635d4f348c450ec56e69e42776
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.13
|
Release files / numpy_choices-0.10-py3-none-any.whl
| Download URL | numpy_choices-0.10-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d5d29d7fdb60fdcbc2329fc68d93870da26590deb6cdebdcb9b8737657face44
|
|
BLAKE2b-256 checksum How to use checksums |
72881cf923aabf7dc8fc58af7f9ec8050b222b73252dfa6d80a18be56ccd3fd2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.13
|
Security for numpy-choices 0.10
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
