I have two series namely x and y.
x:
| Index | Timestamp |
|---|---|
| 0 | 2022-11-16 13:00:00 |
| 1 | 2022-11-17 13:48:00 |
y:
| Index | Timestamp |
|---|---|
| 0 | 2022-11-16 19:13:00 |
| 1 | 2022-11-17 16:21:00 |
I combine these two series into a data frame as follows.
z = pd.concat([x, y], axis=1)
But in the dataframe both the column names appear as "Timestamp". I want to rename it. When I used the below code it changes both column names at the same time.
mapping = {z.columns[0]: 'Start' }
su = z.rename(columns=mapping)
Preferred output:
| start | End |
|---|---|
| 2022-11-16 13:00:00 | 2022-11-16 19:13:00 |
| 2022-11-17 13:48:00 | 2022-11-17 16:21:00 |
How can I do this in pandas?
CodePudding user response：
Example
x = pd.Series({0: '2022-11-16 13:00:00', 1: '2022-11-17 13:48:00'}, name='Timestamp')
y = pd.Series({0: '2022-11-16 19:13:00', 1: '2022-11-17 16:21:00'}, name='Timestamp')
Code
pd.concat([x, y], keys=['start', 'end'], axis=1)
result:
start end
0 2022-11-16 13:00:00 2022-11-16 19:13:00
1 2022-11-17 13:48:00 2022-11-17 16:21:00