Skip to main content

numpy extension

Project description

NumPy Extensions

Build Status - GitHub Build Status - GitHub Deploy PYPI Coverage Status

An extension library for NumPy that implements common array operations not present in NumPy.

  • npext.fill_na(...)
  • npext.drop_na(...)
  • npext.rolling(...)
  • npext.expanding(...)
  • npext.rolling_apply(...)
  • npext.expanding_apply(...)
  • # etc

Documentation

Installation

Regular installation:

pip install numpy_ext

For development:

git clone https://github.com/3jane/numpy_ext.git
cd numpy_ext
pip install -e .[dev]  # note: make sure you are using pip>=20

Examples

Here are few common examples of how the library is used. The rest is available in the documentation.

  1. Apply a function to a rolling window over the provided array
import numpy as np
import numpy_ext as npext

a = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
window = 3

npext.rolling_apply(np.sum, window, a)

> array([nan, nan,  3.,  6.,  9., 12., 15., 18., 21., 24.])
  1. Same as the above, but with a custom function, two input arrays and parallel computation using joblib:
def func(array_first, array_second, param):
    return (np.min(array_first) + np.sum(array_second)) * param


a = np.array([0, 1, 2, 3])
b = np.array([3, 2, 1, 0])

npext.rolling_apply(func, 2, a, b, n_jobs=2, param=-1)

> array([nan, -5., -4., -3.])
  1. Same as the first example, but using rolling function:
a = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
window = 3

rolls = npext.rolling(a, window, as_array=True)

np.sum(rolls, axis=1)

> array([nan, nan,  3.,  6.,  9., 12., 15., 18., 21., 24.])

License

MIT Licence

The software is distributed under MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

numpy_ext-0.9.7.tar.gz (6.6 kB view hashes)

Uploaded Source

Built Distribution

numpy_ext-0.9.7-py3-none-any.whl (6.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page