probscale Release 0.2.5

mpl-probscale: Probabily scales for matplotlib

Keywords
matplotlib, probability-scales, visualization
BSD-3-Clause
Install
``` pip install probscale==0.2.5 ```

mpl-probscale

Real probability scales for matplotlib

Sphinx Docs

Installation

Official releases

Official releases are available through the conda-forge channel or pip

`conda install mpl-probscale --channel=conda-forge`

`pip install probscale`

Development builds

This is a pure-python package, so building from source is easy on all platforms:

```git clone git@github.com:matplotlib/mpl-probscale.git
cd mpl-probscale
pip install -e .```

Quick start

Simply importing `probscale` lets you use probability scales in your matplotlib figures:

```from matplotlib import pyplot
from scipy import stats
import probscale  # nothing else needed

beta = stats.beta(a=3, b=4)
weibull = stats.weibull_min(c=5)
scales = [
{"scale": {"value": "linear"}, "label": "Linear (built-in)"},
{"scale": {"value": "log", "base": 10}, "label": "Log. Base 10 (built-in)"},
{"scale": {"value": "log", "base": 2}, "label": "Log. Base 2 (built-in)"},
{"scale": {"value": "logit"}, "label": "Logit (built-in)"},
{"scale": {"value": "prob"}, "label": "Standard Normal Probability (this package)"},
{
"scale": {"value": "prob", "dist": weibull},
"label": "Weibull probability scale, c=5 (this package)",
},
{
"scale": {"value": "prob", "dist": beta},
"label": "Beta probability scale, Î±=3 & Î²=4 (this package)",
},
]

N = len(scales)
fig, axes = pyplot.subplots(nrows=N, figsize=(9, N - 1), constrained_layout=True)
for scale, ax in zip(scales, axes.flat):
ax.set_xscale(**scale["scale"])
ax.text(0.0, 0.1, scale["label"] + " â†’", transform=ax.transAxes)
ax.set_xlim(left=0.5, right=99.5)
ax.set_yticks([])
ax.spines.left.set_visible(False)
ax.spines.right.set_visible(False)
ax.spines.top.set_visible(False)

outpath = Path(__file__).parent.joinpath("../img/example.png").resolve()
fig.savefig(outpath, dpi=300)```

Testing

Testing is generally done via `pytest`.

`python -m pytest --mpl --doctest-glob="probscale/*.py"`