Python 3.x 旋转重复的时间序列数据

我试图以这样一种方式来透视这些数据，我得到了一些列，比如：AK_阳性AK_概率案例，AK_阴性，AL_阳性。。等等

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您可以在这里获得数据，df=pd.read\u csv（'https://covidtracking.com/api/states/daily.csv）

只需使用将原始多索引列展平为元组，然后将元组元素重新排列为新的列名即可

df_pivoted.columns = [f"{i[1]}_{i[0]}" for i in df_pivoted.columns.to_flat_index()]

结果:

# start from April
df_pivoted[df_pivoted.index >= 20200401].head(5)

          AK_positive  AL_positive  AR_positive  ...  WI_grade  WV_grade  WY_grade
date                                             ...                              
20200401        133.0       1077.0        584.0  ...       NaN       NaN       NaN
20200402        143.0       1233.0        643.0  ...       NaN       NaN       NaN
20200403        157.0       1432.0        704.0  ...       NaN       NaN       NaN
20200404        171.0       1580.0        743.0  ...       NaN       NaN       NaN
20200405        185.0       1796.0        830.0  ...       NaN       NaN       NaN

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这回答了你的问题吗？