I have a column with timestamps
start_time:
0 2016-06-04 05:18:49
1 2016-06-04 06:50:12
2 2016-06-04 08:16:02
3 2016-06-04 15:05:13
4 2016-06-04 15:24:25
I want use a function on the start_time column to round minutes >= 30 to the next hour.
def extract_time(col):
time = col.strftime('%H:%M')
min= int(time.strip(':')[1])
hour= int(time.strip(':')[0])
if min >= 30:
return hour + 1
return hour
Then I want to create a new columns 'hour', with the rounded hours:
df['hour'] = df['start_time'].apply(extract_time)
Instead of getting getting an 'hour' column with the rounded hours, I am getting the below:
0 <function extract_hour at 0x128722b90>
1 <function extract_hour at 0x128722b90>
2 <function extract_hour at 0x128722b90>
3 <function extract_hour at 0x128722b90>
4 <function extract_hour at 0x128722b90>
you can use the following vectorized solution:
In [30]: df['hour'] = df['start_time'].dt.round('H').dt.hour
In [31]: df
Out[31]:
start_time hour
0 2016-06-04 05:18:49 5
1 2016-06-04 06:50:12 7
2 2016-06-04 08:16:02 8
3 2016-06-04 15:05:13 15
4 2016-06-04 15:24:25 15
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