Python3 script to produce plots about new daily infections in each italian province. It needs to be hugely refactored, by using Pandas and other better stuff.
It includes also an estimation of the number of tests per province, by considering a linear correlation between the population of each province and the regional data (if a city has 1000 abitants, probably they will have done 10 times the number of tests than a city with 100 abitants). This assumption is extremely simplistic and may not be accurate.
The script relies on Protezione Civile's csv data about total cases per province per day.
Provided data is unreliable in the short period, as you can see on the graphs. It will improve when I'll smooth the data with the previous and following days data.
I'm thinking about a better estimation for the most recent 3 days of data, cause they're alike raw data.
- I have smoothed data, the result is much better. All the "normalized" directories contain the adjusted data. It is still a WIP
- There is still a lot to fix/correct, I didn't realize that the tests data column was cumulative, so I had to change a lot of stuff
- Added caching for requests
- Multiprocess image save (nproc - 1)
Simply do
python3.8 csv_covid.py
The updated plots will be produced in Covid,Covid_Tests_est,Covid_growing_est directory as PNG images.
All the requirements should be already satisfied, if not, check the file requirements.txt.
