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coronavis/coronavis.py
2020-06-24 13:45:47 +02:00

80 lines
2.4 KiB
Python

#!/usr/bin/python
import requests
import csv
import datetime
import os
import matplotlib.pyplot as pp
import numpy as np
import sys
import importlib
sys.path.append(".")
#### config
# countries of interest
countries = ["Germany", "Italy", "China", "Japan", "South Korea", "Iran", "United States", "World", "United Kingdom", "Sweden"]
# enabled plots
plots = ["basics", "death_per_case",
#"normalized_to_first_death", "delay_from_china", "delay_from_usa", "normalized_to_ten_cases", "percent_increase",
"doubling_time",
"all_countries",
]
###
def get_data():
"""fetch data from remote, cache locally and reorganize internal data
not beautiful (at all), but effective!!"""
dataurl = "https://covid.ourworldindata.org/data/ecdc/full_data.csv"
date = datetime.date.today()
datafile = f"{date}-full-data.csv"
if not os.path.isfile(datafile):
r = requests.get(dataurl)
with open(datafile, "wb") as f:
f.write(r.content)
else:
print(f"file found: {datafile}")
# processing
data = {}
with open(datafile, "r") as f:
reader = csv.reader(f)
for row in reader:
date,location,new_cases,new_deaths,total_cases,total_deaths = row
if location=="location":
# table header
continue
if location not in data:
data[location] = []
year, month, day = date.split("-")
def toint(a):
try:
return int(a)
except:
return np.nan
data[location].append([datetime.date(int(year), int(month), int(day)), new_cases, new_deaths, total_cases, total_deaths])
# reorganize data
data2 = {}
for loc in data:
time = []
new_cases, new_deaths, total_cases, total_deaths = [], [], [], []
for entry in data[loc]:
t_, new_cases_, new_deaths_, total_cases_, total_deaths_ = entry
time.append(t_)
new_cases.append(toint(new_cases_))
new_deaths.append(toint(new_deaths_))
total_cases.append(toint(total_cases_))
total_deaths.append(toint(total_deaths_))
data2[loc] = [time, new_cases, new_deaths, total_cases, total_deaths]
return data2
data = get_data()
for plot in plots:
#try:
i = importlib.import_module(plot)
i.plot(data, countries)
#except:
# print(f"plotting {plot} failed")