Covidify - corona virus report and dataset generator for python 📈 [no longer being updated]
Features • How To Use • Install • Visualizations • Data Source • Credits • To-Do List
Covidify downloads the latest covid-19 data for confirmed cases, deaths and recoveries.
pip install covidify
$ 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.
$ 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:
# List all countries affected
covidify list --countries
# Will default to desktop folder for output and github for datasource
covidify run
# Specify output folder and source
covidify run --output=<PATH TO DESIRED OUTPUT FOLDER>
# Filter reports by country
covidify run --country="South Korea"
# Show top 20 infected countries on a logarithmic scale
covidify run --top=20
# Forecast cumulative cases in America for 14 days into the future
covidify run --country=America --forecast=14
An excel spreadsheet is generated with a number of visualizations and statistics.
This plot shows the top N
infected countries on a logarithmic scale.
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)
This is an accumulative sum trendline for all the confirmed cases, deaths and recoveries.
This is a daily sum trendline for all the confirmed cases, deaths and recoveries.
This stacked bar chart shows a daily sum of people who are already confirmed (red) and the people who have been confirmed on that date (blue)
A count for new cases on a given date, does not take past confirmations into account.
A count for deaths on a given date, does not take past deaths into account.
A count for new recoveries on a given date, does not take past recoveries into account.
A count for all the people who are currently infected for a given date.