我有一个名为adjusted_df_reindexed的熊猫DataFrame，如下所示。它是从xarray DataArray对象转换而成的。
region_id Daily Count
time
2009-01-01 0 431.0
2009-01-02 0 1107.0
2009-01-03 0 1107.0
2009-01-04 0 1106.0
2009-01-05 0 954.0
2009-01-06 0 1089.0
2009-01-07 0 718.0
2009-01-08 0 1027.0
2009-01-09 0 925.0
2009-01-10 0 1076.0
2009-01-11 0 1096.0
2009-01-12 0 1093.0
2009-01-13 0 578.0
2009-01-14 0 764.0
2009-01-15 0 135.0
2009-01-16 0 937.0
2009-01-17 0 1066.0
2009-01-18 0 1034.0
2009-01-19 0 1058.0
2009-01-20 0 1033.0
2009-01-21 0 1010.0
2009-01-22 0 731.0
2009-01-23 0 496.0
2009-01-24 0 971.0
2009-01-25 0 992.0
2009-01-26 0 928.0
2009-01-27 0 739.0
2009-01-28 0 345.0
2009-01-29 0 857.0
2009-01-30 0 801.0
... ... ...
2009-12-02 5 317.0
2009-12-03 5 260.0
2009-12-04 5 310.0
2009-12-05 5 316.0
2009-12-06 5 330.0
2009-12-07 5 327.0
2009-12-08 5 314.0
2009-12-09 5 290.0
2009-12-10 5 162.0
2009-12-11 5 237.0
2009-12-12 5 246.0
2009-12-13 5 314.0
2009-12-14 5 330.0
2009-12-15 5 330.0
2009-12-16 5 279.0
2009-12-17 5 264.0
2009-12-18 5 289.0
2009-12-19 5 346.0
2009-12-20 5 346.0
2009-12-21 5 346.0
2009-12-22 5 340.0
2009-12-23 5 251.0
2009-12-24 5 266.0
2009-12-25 5 286.0
2009-12-26 5 321.0
2009-12-27 5 326.0
2009-12-28 5 324.0
2009-12-29 5 312.0
2009-12-30 5 244.0
2009-12-31 5 232.0
2190 rows × 2 columns
它有两列region_id和Daily Count，索引是跨越365天的日期。 region_id为0、1、2、3、4、5。每个region_id具有365行。
我希望将region_id的唯一值（0、1、2、3、4、5）作为列，而“每日计数”仍是表格的值。
time 0 1 2 3 4 5
2009-01-01 431 202 ... ... ... ...
2009-01-02 1107 501 ... ... ... ...
2009-01-03 1107 501 ... ... ... ...
2009-01-04 1106 478 ... ... ... ...
2009-01-05 954 421 ... ... ... ...
2009-01-06 1089 489 ... ... ... ...
2009-01-07 718 400 ... ... ... ...
... ... ... ... ... ... ...
... ... ... ... ... ... ...
2009-12-30 728 398 ... ... ... 244
2009-12-31 645 516 ... ... ... 232
答案 0 :(得分：1)
数据透视表绝对是一种实现方式：
df.reset_index(drop=False).pivot(index='time', columns='region_id', values='Daily Count')