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