56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
"""
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Plot delay of countries
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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="delay"
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def plot(data, countries):
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figsize = (10,5)
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# plot delay
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pp.clf()
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delay = {}
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tcases = [50, 100, 500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 12500, 15000, 17500,
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20000, 22500, 25000, 27500,
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30000, 32500, 35000, 37500,
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40000, 42500, 45000, 47500,
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50000, 52500, 55000, 57500,
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60000, 62500, 65000, 67500,
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70000, 72500, 75000, 77500,
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80000]
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time_china = data["China"][0]
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case_date_china = np.array([time_china[np.argwhere(np.array(data["China"][3]) > cases)[0][0]] for cases in tcases])
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total_cases_china = data["China"][3]
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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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if loc in ["China", "World"]:
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continue
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this_delay = []
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for i, cases in enumerate(tcases):
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try:
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case_date = data[loc][0][np.argwhere(np.array(data[loc][3]) > cases)[0][0]]
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except:
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this_delay.append(np.nan)
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continue
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#case_date = np.array([time_china[np.argwhere(np.array(data[loc][3]) > cases)[0][0]] for cases in tcases])
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this_delay.append((case_date_china[i] - case_date).days)
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delay[loc] = this_delay
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sort = np.argsort(delay)
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for loc in delay:
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pp.plot(tcases, delay[loc], label=loc, marker=".")
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#pp.plot(np.arange(len(delay)), np.array(delay)[sort] - np.min(delay), marker="o", linestyle="")
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#pp.xticks(ticks=np.arange(len(delay)), labels=np.array(d_loc)[sort])
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pp.xticks(rotation=45)
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pp.legend(frameon=False)
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pp.xlabel("total cases")
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pp.ylabel("delay to china [days]")
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pp.tight_layout()
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pp.savefig(name+"_china.png")
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