A few incremental statistics using numpy
Project description
Incremental stats
pip install incrementalstats
A few incremental 1st order statistics in numpy. Currently:
- Correlation (Pearson)
- Covariance
- Variance
- Mean
- Welch-t
Setup a venv
mkdir venv
virtualenv -p `which python3` venv
source venv/bin/activate
Option 1: Checkout hackable project
python -m pip install --upgrade pip
git clone https://github.com/ceesb/python-incrementalstats
pip install -e python-incrementalstats
cd python-incrementalstats
Now all the changes you make to this project source code are "live".
Option 2: Build a wheel
git clone https://github.com/ceesb/python-incrementalstats
cd python-incrementalstats
python -m build
Now you can distribute or install the wheel created in the dist folder.
$ ls dist/
incrementalstats-0.0.1-py3-none-any.whl incrementalstats-0.0.1.tar.gz
pip install dist/incrementalstats-0.0.1-py3-none-any.whl
Run the tests
python -m unittest
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python-publish.yml on ceesb/python-incrementalstats
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https://in-toto.io/Statement/v1 -
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refs/tags/v1.0.3 - Owner: https://github.com/ceesb
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Access:
public
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Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
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python-publish.yml@1a0a54c2270c309583e83d24038c07e730e31806 -
Trigger Event:
push
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