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covid19poland-0.9.0
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مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
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مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Web Scraper for Poland COVID19 data.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | covid19poland-0.9.0 |
| نام | covid19poland |
| نسخه کتابخانه | 0.9.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Martin Beneš |
| ایمیل نویسنده | martinbenes1996@gmail.com |
| آدرس صفحه اصلی | https://github.com/martinbenes1996/covid19poland |
| آدرس اینترنتی | https://pypi.org/project/covid19poland/ |
| مجوز | MIT |
# Web Scraper of COVID-19 data for Poland
Python package [covid19poland](https://pypi.org/project/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](https://pypi.org/project/covid19poland/) with
```python
pip install covid19poland
```
Several data sources are in current version
* Covid-19 deaths in Poland (offline) - manually checked
* Parser of Twitter of Polish Ministery of Health
* Covid-19 deaths from Wikipedia
Package is regularly updated. Update with
```bash
pip install --upgrade covid19poland
```
### Covid-19 deaths
Deaths can be acquired as dataframe of separate death cases with attributes
```python
import covid19poland as PL
x = PL.covid_death_cases()
```
or as death counts aggregated over 5y age groups, sex and region.
```python
x = PL.covid_deaths()
```
Granularity of the region is parametrizable as 0 (whole Poland), 2 (NUTS-2) or 3 (NUTS-3, default).
```python
x = PL.covid_deaths(level = 2) # setting region to be NUTS-2
```
The NUTS-2 and NUTS-3 classification is done using offline clone of file from
https://ec.europa.eu/eurostat/web/nuts/local-administrative-units.
**Online reading**
It is recommended to use the offline data, since they have been acquired
this way and manually checked. The data is offline acquirable with the package `covid19poland`.
If online data from Twitter is wanted, it can be downloaded and parsed as well.
```python
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.
```python
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
```python
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 can be validated towards deaths from `covid19dh` package,
the mismatching days are acquired by
```python
x = PL.mismatching_days()
```
### Covid-19 tests
The test counts come from two sources and are merged together:
* Parsed from Polish Ministery of Health ([@MZ_GOV_PL](https://twitter.com/MZ_GOV_PL))
* Wayback Machine (NUTS-3 data) from government pages. (*not connected yet*)
Fetch the data with
```python
x = PL.covid_tests()
```
Local copy of the data in the package is used.
To live-parse the data from the source
```python
x = PL.covid_tests(offline = False)
```
### Deaths
The `covid19poland` can also fetch death data from GUS (*Główny Urząd Statystyczny*
or Central Statistical Office of Poland). The data is taken from http://demografia.stat.gov.pl/bazademografia/Tables.aspx
and it is deaths per month and gender in years 2010 - 2018.
```python
x = PL.deaths()
```
Local copy of the data in the package is used. To live-parse the data from the source, type
```python
x = PL.deaths(offline = False)
```
### Wikipedia
*Obsolete*
The table comes from version from beginning of June on Wikipedia page
https://en.wikipedia.org/wiki/COVID-19_pandemic_in_Poland
```python
x = PL.wiki()
```
Once better tabular source is found, it will replace the current one.
Level is a setting for granularity of data
1. Country level (default)
2. State level
```python
# country level
x1 = PL.fetch(level = 1)
# state level
x2 = PL.fetch(level = 2)
```
## Contribution
Developed by [Martin Benes](https://github.com/martinbenes1996).
Join on [GitHub](https://github.com/martinbenes1996/covid19poland).
نیازمندی
| مقدار | نام |
|---|---|
| - | beautifulsoup4 |
| - | GetOldTweets3 |
| - | openpyxl |
| - | pandas |
| - | requests |
| - | xlrd |
| - | waybackmachine |
| - | covid19dh |
| - | pytz |
نحوه نصب
نصب پکیج whl covid19poland-0.9.0:
pip install covid19poland-0.9.0.whl
نصب پکیج tar.gz covid19poland-0.9.0:
pip install covid19poland-0.9.0.tar.gz