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covid19sweden-0.2.2
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مشاهده بیشترتوضیحات
Web Scraper for Sweden COVID19 data.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | covid19sweden-0.2.2 |
| نام | covid19sweden |
| نسخه کتابخانه | 0.2.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Martin Beneš |
| ایمیل نویسنده | martinbenes1996@gmail.com |
| آدرس صفحه اصلی | https://github.com/martinbenes1996/covid19sweden |
| آدرس اینترنتی | https://pypi.org/project/covid19sweden/ |
| مجوز | MPL |
# Web Scraper of COVID-19 data for Sweden
Python package [covid19sweden](https://pypi.org/project/covid19sweden/) provides access to mortality and COVID-19 data of Sweden.
The data is scraped from:
* https://scb.se/om-scb/nyheter-och-pressmeddelanden/overdodligheten-fortsatter-att-sjunka-efter-toppen-i-april/
## Setup and usage
Install from [pip](https://pypi.org/project/covid19sweden/) with
```python
pip install covid19sweden
```
Currently available functions are
* `deaths()` fetching number of deaths
* `fohm.regions()` and `fohm.municipalities()` fetching Covid-19 statistics in regions and municipalities.
Package is regularly updated. Update with
```bash
pip install --upgrade covid19sweden
```
### Covid-19 Deaths
Fetch Covid-19 deaths by weeks using
```python
import covid19sweden as SE
x = SE.covid_deaths(level = 1)
```
The data can be acquired split into regions or municipalities using granularity variable `level`
```python
x_regions = SE.covid_deaths(level = 2)
x_municipalities = SE.covid_deaths(level = 3)
```
### Deaths
Overall deaths in Sweden can be fetched such as
```python
import covid19sweden as SWE
data = SWE.deaths()
```
The function returns pandas dataframe with the columns being years and rows being deaths of each age and
**Level**
Level is a setting for granularity of data
1. Country level (default)
2. State level
3. Municipality level
```python
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.
```python
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](#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+).
```python
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`.
### Covid-19 in regions and municipalities
To fetch data in regions and municipalities, type
```python
import covid19sweden as SWE
regions = SWE.fohm.regions()
municipalities = SWE.fohm.municipalities()
```
Only parameter for both functions is optional `filename`,
that saves the data to csv output file.
```python
SWE.fohm.municipalities(filename = "output.csv")
```
## Commit
With a single call all the data handlers are called and their outputs as well as common input (xlsx file) is stored. *Commit* is stored directory `commit_YYMMDD` (in *cwd*) unless explicitly specified.
```python
import covid19sweden as SWE
SWE.commit() # store all files
```
Explicit specification of directory is done with
```python
SWE.commit("/var/latest_data")
```
Function will try to create the folder. It fails on existing files of the same name. Overwriting must be enabled
```python
SWE.commit("/var/latest_data", overwrite = True)
```
**TODO**:
* add fohm to commit
## Contribution
Developed by [Martin Benes](https://github.com/martinbenes1996).
Join on [GitHub](https://github.com/martinbenes1996/covid19sweden).
نیازمندی
| مقدار | نام |
|---|---|
| - | pandas |
| - | openpyxl |
| - | requests |
نحوه نصب
نصب پکیج whl covid19sweden-0.2.2:
pip install covid19sweden-0.2.2.whl
نصب پکیج tar.gz covid19sweden-0.2.2:
pip install covid19sweden-0.2.2.tar.gz