问题描述
如何打开此数据框：
In [1]: df
Out[1]:
col_name C P
FULL count_x 1 5
count_y 2 6
CALIB count_x 3 7
count_y 4 8
进入本系列：
In [2]: s
Out[2]:
C FULL count_x 1
count_y 2
CALIB count_x 3
count_y 4
P FULL count_x 5
count_y 6
CALIB count_x 7
count_y 8
Python 3，Pandas 1.1.1
解决方法
在两个级别上都使用DataFrame.unstack：
s = df.unstack([0,1])
print (s)
C FULL count_x 1
count_y 2
CALIB count_x 3
count_y 4
P FULL count_x 5
count_y 6
CALIB count_x 7
count_y 8
dtype: int64
关于DataFrame.stack的另一种想法，但有必要进行另一种处理-Series.reorder_levels和Series.sort_index：
s = df.stack().reorder_levels([2,1]).sort_index()
print (s)
col_name
C CALIB count_x 3
count_y 4
FULL count_x 1
count_y 2
P CALIB count_x 7
count_y 8
FULL count_x 5
count_y 6
dtype: int64
尝试新事物
out = pd.concat({x : df[x] for x in df.columns})
Out[113]:
col_name col_name1
C FULL count_x 1
count_y 2
CALIB count_x 3
count_y 4
P FULL count_x 5
count_y 6
CALIB count_x 7
count_y 8
dtype: int64