<!-- Automatically generated, uses README.qmd to modify README.md -->
# `mpljourney`
A collection of cool datasets for Python.
Those datasets are primarly used for
[matplotlib-journey.com](https://www.matplotlib-journey.com/), an online
course to master data visualization with Python, but anyone can use
those datasets too.
> Note that `mpljourney` does not embed datasets directly with it, but
> fetches them from a [separate
> repo](https://github.com/JosephBARBIERDARNAL/data-matplotlib-journey).
<br>
To load of one the available datasets:
``` python
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:
``` python
from mpljourney import load_dataset
df = load_dataset("accident-london", output_format="polars")
```
<br>
Install with:
``` shell
pip install mpljourney
```
<br><br>
## 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.
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