A Python library for rendering heatmaps to Web Mercator tiles.
Synopsis
This snippet generates PNG tiles for a heatmap where colours indicate data point density:
# standards
from pathlib import Path
# volute
from volute import Config, DataPoint, Gradient, LatLng, LatLngBox, render_heatmap_to_tiles
# Configuration options. The web-based interactive tool in the "configurator"
# subdirectory can be used to iteratively find the best config.
config = Config(
gradient=Gradient.GREEN_TO_RED,
num_colors=200,
)
tiles_root = Path("/www/my/tiles")
for zoom in range(12, 16):
# This will create all the tiles, as a sequence of (int, int, PIL.Image) tuples
iter_tiles = render_heatmap_to_tiles(
config,
LatLngBox(south=55.8516, west=-3.4306, north=56.0059, east=-2.9480),
zoom,
[DataPoint(LatLng(lat, lng)) for lat, lng in my_data_points],
)
# Then we can save the tiles to disk
for tile_x, tile_y, tile_image in iter_tiles:
tile_file = tiles_root / f"{zoom}" / f"{tile_x}" / f"{tile_y}.png"
tile_file.parent.mkdir(parents=True, exist_ok=True)
tile_image.save(tile_file)
Examples
See it in action: https://saintamh.org/maps/edinburgh-street-crime/
Metadata
Release files for volute 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| volute-1.0.1.tar.gz | 8.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| volute-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.6 kB
Release files / volute-1.0.1.tar.gz
| Download URL | volute-1.0.1.tar.gz |
|---|---|
| Size | 8.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.12.3
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Release files / volute-1.0.1-py3-none-any.whl
| Download URL | volute-1.0.1-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/5.1.1 CPython/3.12.3
|
Security for volute 1.0.1
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