covid19poland 0.1.3

Web Scraper for Poland COVID19 data.

Web Scraper of COVID-19 data for Poland

Python package covid19poland is part of MFRatio project.

It provides access to death data in Poland due to COVID-19 as well as overall deaths data.

Setup and usage

Install from pip with

pip install covid19poland

Several data sources are in current version

• Covid-19 deaths from Wikipedia
• Online parser of Twitter of Polish Ministry of Health
• Offline manually checked data from online parser

Package is regularly updated. Update with

pip install --upgrade covid19poland

Wikipedia

The table comes from version from beginning of June on Wikipedia page https://en.wikipedia.org/wiki/COVID-19_pandemic_in_Poland

import covid19poland as PL

x = PL.wiki()

Once better tabular source is found, it will replace the current one.

Parametrization

Level is a setting for granularity of data

1. Country level (default)
2. State level

import covid19poland as PL

# country level
x1 = PL.fetch(level = 1)
# state level
x2 = PL.fetch(level = 2)

Twitter data

The data from twitter can be downloaded and parsed with

data,filtered,checklist = PL.twitter(start = "2020-06-01", end = "2020-07-01")

Turn on logs by typing following code before the twitter() function call.

import logging
logging.basicConfig(level = logging.INFO)

The result of the twitter() call are three values

• data - containing the deceased people with their place and date of death
• filtered - tweets, that were filtered out. Just for validation that nothing was missed.
• checklist - list of dates that the parser is not sure about

The data can be saved to output files with

with open("data/6_in.json", "w") as fd:
    json.dump(data, fd)
with open("data/6_out.json", "w") as fd:
    json.dump(filtered, fd)
print(checklist)

Offline data

The twitter data has already been manually checked and it is part of the package. Use function read() from offline submodule to get them

import covid19poland as PL

x = PL.offline.read()

Here the result is pandas.DataFrame with rows being each deceased person.

Contribution

Developed by Martin Benes.

Join on GitHub.