Bumplot
Easily create and customize bump charts in Python
Install / Use
/learn @y-sunflower/BumplotREADME
bumplot: easily create and customize bump charts in Python
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<img src="https://github.com/JosephBARBIERDARNAL/static/blob/main/python-libs/bumplot/image.png?raw=true" alt="bumplot logo" align="right" width="180px"/>
bumplot is a small Python package made to facilitate the creation of
bump charts using matplotlib and Bézier curves. It has high
customization capabilities too!
Bump charts are useful when the focus is on comparing relative rankings—who is ahead of whom—rather than the exact magnitude of the differences.
Check out the online documentation
<br> <br>
Get started
import matplotlib.pyplot as plt
import pandas as pd
from bumplot import bumplot
data = pd.DataFrame(
{
"x": [2020, 2021, 2022, 2023],
"A": [10, 50, 20, 80],
"B": [40, 30, 60, 10],
"C": [90, 20, 70, 40],
}
)
fig, ax = plt.subplots(figsize=(8, 4))
bumplot(
x="x",
y_columns=["A", "B", "C"],
data=data,
curve_force=0.5,
plot_kwargs={"lw": 4},
scatter_kwargs={"s": 150, "ec": "black", "lw": 2},
colors=["#ffbe0b", "#ff006e", "#3a86ff"],
)
ax.legend()
ax.spines[["top", "right", "left", "bottom"]].set_visible(False)
ax.grid(alpha=0.4)

<br> <br>
Installation
pip install bumplot
<br><br>
Features
- Automatic ranking of your data (with support for both
pandasandpolars) - Accept categorical data for x-axis
- Infinite customization capabilities
- Easy control of the curvature intensity
