How do I turn this dataframe:
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
into this series:
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.
Use DataFrame.unstack by both levels:
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
Another idea with DataFrame.stack, but is necessary some another processing - Series.reorder_levels and Series.sort_index:
s = df.stack().reorder_levels([2,0,1]).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
unstack!Try something new
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
