Legend creation and manipulation with ease for matplotlib
Project description
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()
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