Convert header into row

Question

I have a table like this.

user    01/12/15    02/12/15 someBool
u1      100         300      true
u2      200        -100      false
u3     -50          200          


        

Answer 1

You need melt:

df = pd.melt(df, id_vars=['user','someBool'], var_name='date')
print (df)
  user someBool      date  value
0   u1     True  01/12/15    100
1   u2    False  01/12/15    200
2   u3     True  01/12/15    -50
3   u1     True  02/12/15    300
4   u2    False  02/12/15   -100
5   u3     True  02/12/15    200

Another solution with stack:

df = df.set_index(['user','someBool'])
       .stack()
       .reset_index(name='value')
       .rename(columns={'level_2':'date'})
print (df)
  user someBool      date  value
0   u1     True  01/12/15    100
1   u1     True  02/12/15    300
2   u2    False  01/12/15    200
3   u2    False  02/12/15   -100
4   u3     True  01/12/15    -50
5   u3     True  02/12/15    200