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This is a scraper for statistical data from the (https://www.viltolycka.se/statistik/viltolyckor-for-respektive-viltslag/)[viltolycka.se] built on top of the Statscraper package <https://github.com/jplusplus/statscraper>.

The scraper is limited to the data avialble through https://www.viltolycka.se/statistik/viltolyckor-for-respektive-viltslag/

Install

$ pip install viltolyckor_scraper

Example usage

from viltolyckor import ViltolyckorScraper

# Init scraper
scraper = ViltolyckorScraper()

# List all available datasets
datasets = scraper.items
# [<ViltolyckorDataset: viltolyckor per viltslag>]

# Select a dataset
dataset = scraper.items["viltolyckor per viltslag"]

# List all available dimensions
datasets = verksamhetsform.dimensions
# [<Dimension: region>, <Dimension: year>, <Dimension: month>, <Dimension: viltslag>]

# Make a query
res = dataset.fetch()  # Get latest available data for whole country by default

# Analyze the results with Pandas
df = res.pandas

# Make a more specific query
# Get data for a given period
res = dataset.fetch({"period": "2015"})

# Or from a specific region (all years)
res = ds.fetch({"region": u"Stockholms län", "year": "*"})

Develop

Set up:

$ pip install -r requirements.txt

Run tests:

$ make tests

Deployment

To deploy a new version to PyPi:

  1. Update version in setup.py

  2. Build: python3 setup.py sdist bdist_wheel

  3. Upload: python3 -m twine upload dist/viltolyckor_scraper-X.Y.X*

…assuming you have Twine installed (pip install twine) and configured.

Metadata

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