| Name | map_nl JSON |
| Version |
0.0.5
JSON |
| download |
| home_page | https://github.com/fpgmaas/map-nl |
| Summary | Quickly create maps of the Netherlands in Python |
| upload_time | 2023-12-02 09:42:01 |
| maintainer | |
| docs_url | None |
| author | Florian Maas |
| requires_python | >=3.9,<3.12 |
| license | |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
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No requirements were recorded.
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<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
[](https://img.shields.io/github/v/release/fpgmaas/map-nl)
[](https://github.com/fpgmaas/map-nl/actions/workflows/main.yml?query=branch%3Amain)
[](https://codecov.io/gh/fpgmaas/map-nl)
[](https://img.shields.io/github/commit-activity/m/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 add _map-nl_ to your project, run one of the following commands:
```shell
# Install with poetry
poetry add map-nl
# Install with pip
pip install map-nl
```
### 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).
---
Repository initiated with [fpgmaas/cookiecutter-poetry](https://github.com/fpgmaas/cookiecutter-poetry).
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