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Web Scraper for Sweden COVID19 data.

Project description

Web Scraper of COVID-19 data for Sweden

Python package covid19sweden provides access to mortality and COVID-19 data of Sweden.

The data is scraped from:

Setup and usage

Install from pip with

pip install covid19sweden

Only function currently is death(), fetching the data of deaths. Use it as

import covid19sweden as SWE

data,data2,unknown = SWE.deaths()

Package is regularly updated. Update with

pip install --upgrade covid19sweden

Parametrization

Return value

The first obvious thing is interpretation of return values.

The function returns three values:

  • first return value data is the main return value.
  • second return value data2 is often averaged or total values, where descriptors (age, gender) are marginalized out.
  • third return value unknown is deaths, that were for some reason not assigned to weeks / days, for example when the death date is not known.

To find out interpretation of each value in each parameter configuration, see scb.py in the package source code.

Level

Level is a setting for granularity of data

  1. Country level (default)
  2. State level
  3. Municipality level
import covid19sweden as SWE

# country level
x1a,x1b,x1u = SWE.deaths(level = 1)
# state level
x2a,x2b,x2u = SWE.deaths(level = 2)
# municipality level
x3a,x3b,x3u = SWE.deaths(level = 3)

By default the level is 1. Level settings can be implicitly changed in the function.

Weekly

Weekly is a setting of time axis of the data.

  • True - data are by weeks
  • False - data are by days

Default is False, data by days.

import covid19sweden as SWE

# weekly
xa,xb,xu = SWE.deaths(weekly = True)

Given setting will implicitly change per_gender_age = True, even though default is False. This behavior is described at section Verbose and alt.

Setting of weekly can be also implicitly changed if no data is available for given settings.

Per gender or age

The settings per_gender_age is controlling the deaths to be splitted into groups by gender (M,F) and age groups (mostly 0-64,65-79,80-89,90+).

import covid19sweden as SWE

# weekly
xa,xb,xu = SWE.deaths(per_gender_age = True)

Setting of per_gender_age can be implicitly changed if no data is available for given settings.

Verbose and alt

Not for all the combinations of the parameters the data is available. E.g. for level = 3, only daily data without gender and age distinguishing is available. Hence to minimize error rate, implicit parameter changes are introduced.

If the data for given settings is not available, a set of rules is applied to reach data:

  • if data is available for not per_gender_age, use them
  • if data is available for not weekly, use them
  • if data is available for not per_gender_age, not_weekly, use them

Implicit parameter change is announced on stdout. It can be switched off by setting verbose = False.

Sometimes multiple datasets with slight difference (or two conversions) are available. This is announced on stdout. Choosing an alternative data is done with alt = True.

Contribution

Developed by Martin Benes.

Join on GitHub.

Project details


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