When you want to create or adjust the legend in matplotlib, things can get dirty. Legendkit may solve your headache.
Features
- Easy title placement and alignment
- Easy colorbar with shape
- Layout for multiple legends and colorbar*
Installation
pip install legendkit
Quickstart
import numpy as np
import matplotlib.pyplot as plt
from legendkit import cat_legend, colorbar, vstack
fig, ax = plt.subplots()
data = np.random.rand(10, 10)
mappable = ax.pcolormesh(data, cmap="RdBu")
# Categorical legend
leg = cat_legend(ax, colors=["#e63946", "#457b9d", "#2a9d8f"],
labels=["Group A", "Group B", "Group C"], title="Groups")
# Colorbar placed outside axes
colorbar(mappable, ax=ax, title="Value")
plt.show()
1 maintainer
Metadata
1 maintainer
Release files for legendkit 0.5.2
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| legendkit-0.5.2-py3-none-any.whl | Python 3 | none | any | Details for legendkit-0.5.2-py3-none-any.whl |
Total release size: 61.7 kB
Release files / legendkit-0.5.2.tar.gz
| Download URL | legendkit-0.5.2.tar.gz |
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| Size | 28.8 kB |
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Release files / legendkit-0.5.2-py3-none-any.whl
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| Tags | Python 3 |
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