معرفی شرکت ها
covidify-1.3.0
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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
Stay up to date with corona virus data - Download and generate reports
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | covidify-1.3.0 |
| نام | covidify |
| نسخه کتابخانه | 1.3.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Aaron Ward |
| ایمیل نویسنده | Aaronward6210@gmail.com |
| آدرس صفحه اصلی | https://github.com/AaronWard/covid-19-analysis |
| آدرس اینترنتی | https://pypi.org/project/covidify/ |
| مجوز | MIT |
# covidify [](https://pypi.python.org/pypi/covidify/)   [](https://pypi.python.org/pypi/covidify/) <a href='https://ko-fi.com/M4M11RWBF' target='_blank'><img height='36' style='border:0px;height:30px;' src='https://cdn.ko-fi.com/cdn/kofi3.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>
<img src="./resources/default.png"/>
<p align="center">
<a href="#features">Features</a> •
<a href="#how-to-use">How To Use</a> •
<a href="#install">Install</a> •
<a href="#visualizations">Visualizations</a> •
<a href="https://github.com/CSSEGISandData/COVID-19">Data Source</a> •
<a href="#credits">Credits</a> •
<a href="https://github.com/AaronWard/covidify/projects">To-Do List</a>
</p>
<hr>
## Features
Covidify downloads the latest [covid-19](https://www.who.int/health-topics/coronavirus) data for confirmed cases, deaths and recoveries.
- Creates a time series dataset
- Creates a daily stats dataset
- Forecast global and country confirmed cases
- Generate visualizations
- Filter by country
- List all countries affected
- Shows number of people currently infected
- Generates an excel report including all of the above
<hr>
## Install
- ```pip install covidify```
## How to use
```powershell
$ covidify
Usage: covidify [OPTIONS] COMMAND [ARGS]...
☣ COVIDIFY ☣
- use the most up-to-date data to generate reports of
confirmed cases, fatalities and recoveries.
Options:
--help Show this message and exit.
Commands:
list List all the countries that have confirmed cases.
run Generate reports for global cases or refine by country.
```
```powershell
$ covidify run --help
Usage: covidify run [OPTIONS]
Options:
--output TEXT Folder to output data and reports [Default:
/Users/award40/Desktop/covidify-output/]
--source TEXT There are two datasources to choose from, Johns Hopkins
github repo or wikipedia -- options are JHU or wiki
respectively [Default: JHU]
--country TEXT Filter reports by a country
--top TEXT Top N infected countries for log plot. [Default: 10]
--forecast TEXT Number of days to forecast cumulative cases in the future.
[Default: 15]
--help Show this message and exit.
```
**Example Commands:**
```powershell
# List all countries affected
covidify list --countries
```
```powershell
# Will default to desktop folder for output and github for datasource
covidify run
```
```powershell
# Specify output folder and source
covidify run --output=<PATH TO DESIRED OUTPUT FOLDER>
```
```powershell
# Filter reports by country
covidify run --country="South Korea"
```
```powershell
# Show top 20 infected countries on a logarithmic scale
covidify run --top=20
```
```powershell
# Forecast cumulative cases in America for 14 days into the future
covidify run --country=America --forecast=14
```
<hr>
## Visualizations
An excel spreadsheet is generated with a number of visualizations and statistics.
##### Logarithmic Plot
This plot shows the top `N` infected countries on a logarithmic scale.
##### Forecasting
An ARIMA model is trained and used to forecast the cumulative cases for `N` number of days
into the future (DISCLAIMER: the forecast is a ballpark figure, and should not be taken as gospel)
##### Accumulative Trend
This is an accumulative sum trendline for all the confirmed cases, deaths and recoveries.
##### Daily Trendline
This is a daily sum trendline for all the confirmed cases, deaths and recoveries.
##### Stacked Daily Confirmed Cases
This stacked bar chart shows a daily sum of people who are already confirmed (<i>red</i>) and the people who have been confirmed on that date (<i>blue</i>)
##### Daily Confirmed Cases
A count for new cases on a given date, does not take past confirmations into account.
##### Daily Deaths
A count for deaths on a given date, does not take past deaths into account.
##### Daily Recoveries
A count for new recoveries on a given date, does not take past recoveries into account.
##### Currently Infected
A count for all the people who are currently infected for a given date.
<hr>
## Credits
- Written by me (Aaron Ward - https://www.linkedin.com/in/aaronjward/)
- A special thank you to the [JHU CSSE](https://systems.jhu.edu/) team for maintaining the data
- Also a special thank you to @ajaymaity for bug fixes 🎉
نیازمندی
| مقدار | نام |
|---|---|
| - | click |
| - | matplotlib |
| - | pyarrow |
| - | pandas |
| - | docopt |
| - | GitPython |
| - | pillow |
| - | tqdm |
| - | xlsxwriter |
| - | numpy |
| - | pmdarima |
| - | folium |
| - | altair |
| - | seaborn |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6.* | Python |
نحوه نصب
نصب پکیج whl covidify-1.3.0:
pip install covidify-1.3.0.whl
نصب پکیج tar.gz covidify-1.3.0:
pip install covidify-1.3.0.tar.gz