Shared tools for loading, transforming, and visualising the GLA datasets used in City Data analysis.
Project description
gla-data
Shared tools for loading, transforming, and visualising the GLA datasets used in City Data analysis.
Installation
Add gla-data as a PyPI dependency in your pixi.toml:
[pypi-dependencies]
gla-data = ">=0.1"
Then run pixi install. Pixi pulls geospatial dependencies (geopandas, pyproj, etc.) from conda-forge, which provides reliable pre-built binaries across all platforms and Python versions.
Development
git clone <repo-url>
cd gla-data
pixi install
pixi run test # run tests
pixi run lint # check code style
pixi run format # auto-format
pixi run typecheck # type checking
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file gla_data-0.1.0.tar.gz.
File metadata
- Download URL: gla_data-0.1.0.tar.gz
- Upload date:
- Size: 144.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d95cb106267aaafd792870fb85ff1fa158292b93553f1fb65bc968fd8269e9ea
|
|
| MD5 |
ecd3dcb58566a3956702f4b09f26c379
|
|
| BLAKE2b-256 |
4d778004242085ba28779c54646292b0bacab6d56d33c0a3d17de6182b6b89fa
|
Provenance
The following attestation bundles were made for gla_data-0.1.0.tar.gz:
Publisher:
publish.yml on Greater-London-Authority/gla-data
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
gla_data-0.1.0.tar.gz -
Subject digest:
d95cb106267aaafd792870fb85ff1fa158292b93553f1fb65bc968fd8269e9ea - Sigstore transparency entry: 2051273786
- Sigstore integration time:
-
Permalink:
Greater-London-Authority/gla-data@4413fb7eacd14eee70f903d1010d720866c3a167 -
Branch / Tag:
refs/tags/v0.1.1 - Owner: https://github.com/Greater-London-Authority
-
Access:
private
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@4413fb7eacd14eee70f903d1010d720866c3a167 -
Trigger Event:
push
-
Statement type:
File details
Details for the file gla_data-0.1.0-py3-none-any.whl.
File metadata
- Download URL: gla_data-0.1.0-py3-none-any.whl
- Upload date:
- Size: 16.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8ab659301301e0803bb992ea0e924a87826526967e396e19351cf84420063f1b
|
|
| MD5 |
b613b5455d29ab945161528bfa62ab6e
|
|
| BLAKE2b-256 |
8673031e8c5900532c0015528009ae57a3bd47785fa4a3c2ebcc1e11b28bb67a
|
Provenance
The following attestation bundles were made for gla_data-0.1.0-py3-none-any.whl:
Publisher:
publish.yml on Greater-London-Authority/gla-data
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
gla_data-0.1.0-py3-none-any.whl -
Subject digest:
8ab659301301e0803bb992ea0e924a87826526967e396e19351cf84420063f1b - Sigstore transparency entry: 2051273961
- Sigstore integration time:
-
Permalink:
Greater-London-Authority/gla-data@4413fb7eacd14eee70f903d1010d720866c3a167 -
Branch / Tag:
refs/tags/v0.1.1 - Owner: https://github.com/Greater-London-Authority
-
Access:
private
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@4413fb7eacd14eee70f903d1010d720866c3a167 -
Trigger Event:
push
-
Statement type:
