34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
"""
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Plot overview plot for each country separately
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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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import time as time_module
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basename="all_"
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def plot(data, countries):
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figsize = (10,5)
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for loc in data:
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name = basename+loc
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time, new_cases, new_deaths, total_cases, total_deaths = data[loc]
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fig, ax1 = pp.subplots(num=name, figsize=figsize)
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ax1.plot(time, new_cases, label="raw new cases", color="grey", linestyle="-")
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ax1.plot(time[3:-3], np.convolve(new_cases, np.ones((7,))/7, mode="valid"), label="new cases 7day mean", color="orange", linestyle="-", linewidth=2)
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ax2 = ax1.twinx()
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ax2.plot(time, total_cases, label=f"Total cases", marker="", linestyle="--", color="blue")
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#ax1.xticks(rotation=45)
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#ax1.set_xlabel("date")
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ax1.set_ylabel("new cases")
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ax2.set_ylabel("total cases")
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fig.legend(frameon=False, loc="upper left", bbox_to_anchor=(0,1), bbox_transform=ax1.transAxes)
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pp.title(loc)
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fig.tight_layout()
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pp.text(0.002,0.005, f"plot generated {time_module.strftime('%Y-%m-%d %H:%M')}, CC-by-sa-nc, origin: dukun.de/corona, datasource: ourworldindata.org/coronavirus-source-data", color="dimgrey", fontsize=8, transform=fig.transFigure)
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pp.savefig("ac_"+name+".png")
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pp.close(fig)
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