I have a pandas dataframe in the below format. The Timestamp values are in DateTime format (GMT Time) I want to add a new column to the dataframe with the UTC values related to each Timestamp.
How can I do this in pandas?
df = pd.DataFrame({'ID': ['1', '2', '3'],
'TimeStamp': [2022-12-19 22:56:24, 2022-12-19 22:57:46, 2022-12-19 22:59:08]})
I tried the below code, but it gives me an error.
df['x'] = dt.datetime(df['TimeStamp']).timestamp()
TypeError: cannot convert the series to <class 'int'>
Desired Output:
| ID | TimeStamp | UTC |
|---|---|---|
| 1 | 2022-12-19 22:56:24 | 1671490584 |
| 2 | 2022-12-19 22:57:46 | 1671490666 |
| 3 | 2022-12-19 22:59:08 | 1671490748 |
CodePudding user response：
One way:
df["UTC"] = pd.to_datetime(df["TimeStamp"]).map(pd.Timestamp.timestamp).astype(int)
print(df)
ID TimeStamp UTC
0 1 2022-12-19 22:56:24 1671490584
1 2 2022-12-19 22:57:46 1671490666
2 3 2022-12-19 22:59:08 1671490748