Metadata-Version: 2.1
Name: map-nl
Version: 0.0.9
Summary: Quickly create maps of the Netherlands in Python
Home-page: https://github.com/fpgmaas/map-nl
Author: Florian Maas
Author-email: ffpgmaas@gmail.com
Requires-Python: >=3.9,<3.12
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: folium (>=0.15.0,<0.16.0)
Requires-Dist: geopandas (>=0.14.1,<0.15.0)
Requires-Dist: pandas (>=2.1.3,<3.0.0)
Requires-Dist: requests (>=2.31.0,<3.0.0)
Requires-Dist: topojson (>=1.7,<2.0)
Requires-Dist: tqdm (>=4.66.1,<5.0.0)
Project-URL: Documentation, https://fpgmaas.github.io/map-nl/
Project-URL: Repository, https://github.com/fpgmaas/map-nl
Description-Content-Type: text/markdown

<p align="center" style="margin: 30px 30px 40px 30px;">
  <img alt="map nl" height="150" src="https://github.com/fpgmaas/map-nl/blob/main/docs/static/nl.png?raw=true">
</p>

# map-nl

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[![License](https://img.shields.io/github/license/fpgmaas/map-nl)](https://img.shields.io/github/license/fpgmaas/map-nl)

_map-nl_ is a Python package to help you quickly create [PC4](https://public.opendatasoft.com/explore/dataset/georef-netherlands-postcode-pc4/table/) maps of the Netherlands. While that is already possible without _map-nl_, this package aims to make the process a lot easier. It automatically downloads the geojson files, so all you need to provide is a dataset with two columns: One containing PC4 codes and one with a related value to plot on the map. _map-nl_ then uses [folium](https://github.com/python-visualization/folium) to plot the map.

For an example map created with _map-nl_, see [here](https://fpgmaas.github.io/map-nl/static/choropleth.html).

---

<p align="center">
  <a href="https://fpgmaas.github.io/map-nl">Documentation</a> - <a href="https://fpgmaas.github.io/map-nl/contributing/">Contributing</a>
</p>

---

## Quickstart

### Installation

To install _map-nl_, simply run:

```shell
pip install map-nl
```

or a similar command for your dependency manager.

### Usage

To create a choropleth map of the average WOZ-value in the Netherlands, you could run the following:

```py
import pandas as pd
from map_nl import ChoroplethMapNL

df = pd.read_csv("https://raw.githubusercontent.com/fpgmaas/map-nl/main/data/woz-pc4.csv")

m = ChoroplethMapNL(geojson_simplify_tolerance=0.0001).plot(
    df, pc4_column_name="pc4", value_column_name="WOZ", legend_name="Average WOZ Value"
)
m.save("map.html")
```

This will download the geojson file to the `.map_nl` directory, simplify the geojson file to reduce the disk size of the plot, plot the map and save it to disk.

For more details, see [the documentation](https://fpgmaas.github.io/map-nl).

### Attribution & License

By default, a geojson file with PC4 polygons is downloaded from [Opendatasoft.com](https://public.opendatasoft.com/explore/dataset/georef-netherlands-postcode-pc4/information/). The file is provided by Central Bureau voor de Statistiek & Basisregistratie Kadaster and usage of this file falls under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.

---

Repository initiated with [fpgmaas/cookiecutter-poetry](https://github.com/fpgmaas/cookiecutter-poetry).

Icon created by <a href="https://www.flaticon.com/free-icons/holland" title="holland icons">Roundicons - Flaticon</a>

