'how to replace seconds to zero in pandas
I have following dataframe in pandas
code time
1 003002
1 053003
1 060002
1 073001
1 073003
I want to generate following dataframe in pandas
code time new_time
1 003002 00:30:00
1 053003 05:30:00
1 060002 06:00:00
1 073001 07:30:00
1 073003 07:30:00
I am doing it with following code
df['new_time'] = pd.to_datetime(df['time'] ,format='%H%M%S').dt.time
How can I do it in pandas?
Solution 1:[1]
Use Series.dt.floor:
df['time'] = pd.to_datetime(df['time'], format='%H%M%S').dt.floor('T').dt.time
Or remove last 2 values by indexing, then change format to %H%M:
df['time'] = pd.to_datetime(df['time'].str[:-2], format='%H%M').dt.time
print (df)
code time
0 1 00:30:00
1 1 05:30:00
2 1 06:00:00
3 1 07:30:00
4 1 07:30:00
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | jezrael |
