Reputation: 141
How do I take a date time column (e.g. format: 2005-06-08 15:30:50) in a pandas dataframe and select / tag only specific times (e.g. 17:45:00) over the entire data set?
I've searched multiple websites for this answer and have not found any addressing the situation of selecting and tagging a specific time stamp across an entire dataframe.
Upvotes: 0
Views: 745
Reputation: 30920
Here is an example:
print(df)
amount local_date
0 8.1 2016-09-30-17:45:00
1 4.0 2016-10-02-18:30:00
2 3.0 2016-10-03-17:45:00
3 9.7 2016-10-03-12:20:00
4 10.0 2016-10-04-01:20:32
df['local_date']=pd.to_datetime(df['local_date'])
df_filtered=df[df['local_date'].dt.time.apply(lambda x: x.strftime("%H:%M:%S")).eq('17:45:00')]
print(df_filtered)
amount local_date
0 8.1 2016-09-30 17:45:00
2 3.0 2016-10-03 17:45:00
Upvotes: 1