Prepare WFS Data
Prepare data from OroraTech Wildfire Solutions to be uploaded to Risk Management API.
Installation
To install it:
pip install prepare_wfs_data
Usage
The main function is prepare_data() which takes a GeoDataFrame as input and returns a prepared GeoDataFrame. It receives GeoJSON data downloaded directly from OroraTech Wildfire Solutions.
import pandas as pd
import geopandas as gpd
from prepare_wfs_data import prepare_data
gdf = gpd.read_file("path/to/wfs-data.geojson")
gdf = prepare_data(gdf)
Metadata
Release files for prepare-wfs-data 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| prepare_wfs_data-0.1.2.tar.gz | 3.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| prepare_wfs_data-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.1 kB
Release files / prepare_wfs_data-0.1.2.tar.gz
| Download URL | prepare_wfs_data-0.1.2.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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poetry/2.4.1 CPython/3.14.5 Windows/11
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Release files / prepare_wfs_data-0.1.2-py3-none-any.whl
| Download URL | prepare_wfs_data-0.1.2-py3-none-any.whl |
|---|---|
| Size | 4.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.4.1 CPython/3.14.5 Windows/11
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