mpljourney
A collection of cool datasets for Python.
Those datasets are primarly used for matplotlib-journey.com, an online course to master data visualization with Python, but anyone can use those datasets too.
Note that
mpljourneydoes not embed datasets directly with it, but fetches them from a separate repo.
To load of one the available datasets:
from mpljourney import load_dataset
df = load_dataset("accident-london")
By default it loads it as a pandas dataframe, but it can also be any
of: "polars", "cudf", "pyarrow", "modin", assuming you have the
associated library installed on your machine:
from mpljourney import load_dataset
df = load_dataset("accident-london", output_format="polars")
Install with:
pip install mpljourney
All datasets
accident-london
CO2
earthquakes
economic
footprint
game-sales
london
'london' is a geo dataset. The geometry column is hidden here to make
the table snippet readable.
mariokart
natural-disasters
netflix
newyork-airbnb
newyork
'newyork' is a geo dataset. The geometry column is hidden here to make
the table snippet readable.
storms
ufo
us-counties
'us-counties' is a geo dataset. The geometry column is hidden here to
make the table snippet readable.
walks
wine
world
'world' is a geo dataset. The geometry column is hidden here to make
the table snippet readable.
Metadata
Release files for mpljourney 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mpljourney-0.1.0.tar.gz | 490.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mpljourney-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 495.1 kB
Release files / mpljourney-0.1.0.tar.gz
| Download URL | mpljourney-0.1.0.tar.gz |
|---|---|
| Size | 490.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / mpljourney-0.1.0-py3-none-any.whl
| Download URL | mpljourney-0.1.0-py3-none-any.whl |
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| Size | 4.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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 Jul 13, 2025.
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