git clone https://github.com/aforren1/pystatslib --recursive
Example usage:
import statslib as sl
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm
x = np.linspace(-3, 3, num=100)
y = sl.dnorm(x, mu=0, sigma=1, log=False)
y2 = norm.pdf(x, loc=0, scale=1)
plt.plot(x, y - y2)
plt.show()
Metadata
Release files for statslib 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| statslib-0.0.4.zip | 821.4 kB | Details |
Built distributions (wheels)
Total release size: 3.6 MB
Release files / statslib-0.0.4.zip
| Download URL | statslib-0.0.4.zip |
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| Size | 821.4 kB |
| Tags | Source |
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Release files / statslib-0.0.4-cp310-cp310-win_amd64.whl
| Download URL | statslib-0.0.4-cp310-cp310-win_amd64.whl |
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Release files / statslib-0.0.4-cp310-cp310-win32.whl
| Download URL | statslib-0.0.4-cp310-cp310-win32.whl |
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Release files / statslib-0.0.4-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
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Release files / statslib-0.0.4-cp310-cp310-macosx_10_14_x86_64.whl
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Release files / statslib-0.0.4-cp39-cp39-win_amd64.whl
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Release files / statslib-0.0.4-cp39-cp39-win32.whl
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Release files / statslib-0.0.4-cp39-cp39-macosx_10_14_x86_64.whl
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Release files / statslib-0.0.4-cp38-cp38-win_amd64.whl
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Release files / statslib-0.0.4-cp38-cp38-macosx_10_14_x86_64.whl
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