bumplot: easily create and customize bump charts in Python
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
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)
Installation
pip install bumplot
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
Metadata
Release files for bumplot 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bumplot-0.2.1.tar.gz | 100.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bumplot-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 108.9 kB
Release files / bumplot-0.2.1.tar.gz
| Download URL | bumplot-0.2.1.tar.gz |
|---|---|
| Size | 100.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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Yes |
| Uploaded via |
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|
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Transparency logRelease files / bumplot-0.2.1-py3-none-any.whl
| Download URL | bumplot-0.2.1-py3-none-any.whl |
|---|---|
| Size | 8.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e99414f2fb402bad4654bb8e31e4873d43316dcf4d067113a160b4dc8ae16b76
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|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 28, 2026.
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