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coronavis/normalized_to_first_death.py

28 lines
818 B
Python

"""
Plot total cases timeshiftet to first death
"""
import matplotlib.pyplot as pp
import numpy as np
name="normalized_to_first_death"
def plot(data, countries, pop):
figsize = (10,5)
for loc in data:
if loc not in countries:
continue
time, new_cases, new_deaths, total_cases, total_deaths = data[loc]
pp.figure(name, figsize=figsize)
day_of_first_death = np.argwhere(np.array(total_deaths) > 0)[0][0]
new_time_axis = np.arange(len(time)) - day_of_first_death
pp.plot(new_time_axis, np.array(total_cases), label=f"{loc}", marker=".")
pp.yscale("log")
pp.ylabel("total cases")
pp.xlabel("day since first reported death")
pp.xticks(rotation=45)
pp.legend(frameon=False)
pp.tight_layout()
pp.savefig(name+".png")