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@ -46,16 +46,12 @@ recovered = [dfChinaJan['Recovered'].sum(),dfChinaFeb['Recovered'].sum(),dfChina |
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recoverPoss = [] |
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for i in range(len(confirmed)): |
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recoverPoss.append(recovered[i] / confirmed[i]) |
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date = pd.date_range(start='2020-01', periods=12, freq="m").strftime('%Y-%m') |
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data_1={ |
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'confirmed':confirmed, |
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'recovered':recovered, |
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'recoverPoss':recoverPoss |
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} |
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data_1_df = pd.DataFrame(data_1, index=date) |
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ax = data_1_df.plot(secondary_y=['recovery possibility'], x_compat=True, grid=True) |
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ax.set_ylabel('confirmed/recovered') |
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ax.grid(linestyle="--", alpha=0.3) |
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fig = plt.figure() |
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ax1 = fig.add_subplot(111) |
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ax1.plot(date,confirmed,recovered) |
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ax2 = ax1.twinx() |
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ax2.plot(date,recoverPoss) |
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plt.show() |
