mundipy is a Python framework for spatial data manipulation. Built on top of geopandas, GDAL, and shapely, mundi.py provides a useful abstraction to eliminate the hassles of spatial data.
Features
- Spatial caching
- Automatically projection management
- Layer management
- Automatic spatial indexing for lookups
- Automatic spatial joins
Project Roadmap
- Jupyter notebook native (_repr_html_) that doesn't explode with massive data
- Nearest neighbor/distance queries
- Dissolving into h3/s2
License
Mundi.py is MIT licensed.
Metadata
Release files for mundipy 0.8.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mundipy-0.8.2.tar.gz | 1.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mundipy-0.8.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.0 MB
Release files / mundipy-0.8.2.tar.gz
| Download URL | mundipy-0.8.2.tar.gz |
|---|---|
| Size | 1.0 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.10.8 Darwin/21.4.0
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Release files / mundipy-0.8.2-py3-none-any.whl
| Download URL | mundipy-0.8.2-py3-none-any.whl |
|---|---|
| Size | 1.0 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.10.8 Darwin/21.4.0
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