national-history.csv

plot.py

import matplotlib.pyplot as plt
import numpy as np

data = []

with open('national-history.csv') as fp:
    header = fp.readline().split(',')
    for line in fp:
        line = line.split(',')
        if all(line):
            line[1:] = [int(k) for k in line[1:]]
            data.append(line)


# Plot
x = []
date_stamps = []
y_death_per_positive = []
y_postive_per_test = []

for (i, elem) in enumerate(reversed(data)):
    print(len(elem))
    d = elem[0]
    death = elem[1]
    positives = elem[13]
    tests = elem[17]

    if i % 30 == 0:
        x.append(i)
        date_stamps.append(d)
    y_death_per_positive.append(death / positives)
    y_postive_per_test.append(positives / tests)


plt.figure()
plt.title('Deaths per COVID-19 positive')
print(x)
print(date_stamps)
plt.xticks(x, labels=date_stamps)
plt.plot(y_death_per_positive)


plt.figure()
plt.title('COVID-19 positives per test given')
plt.xticks(x, labels=date_stamps)
plt.plot(y_postive_per_test)

plt.show()

#data = np.array(data)
#print(data)