How do i subtarct 2 time columns with each other in Python?

Question

I have a column Start and HT where both are Object Datatype:
The output which is needed is (HT – Start) in minutes.

I try to convert them to datetime through pd.to_datetime but it throws error
TypeError: <class ‘datetime.time’> is not convertible to datetime

Start	HT
09:30:00	09:40:00
09:30:00	09:36:00
09:30:00	09:50:00
09:30:00	10:36:00

Expected Output

Start	HT	diff(in minutes)
09:30:00	09:40:00	10
09:30:00	09:36:00	6
09:30:00	09:50:00	20
09:30:00	10:36:00	66

Please help.

Asked By: Divyansh Kumar Singh

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Source

Answer 1

You should fisrt convert dates using pd.to_datetime()

df['Start'] = pd.to_datetime(df['Start'], format='%H:%M:%S').dt.time.apply(str)
df['HT'] = pd.to_datetime(df['HT'], format='%H:%M:%S').dt.time.apply(str)
df['diff(in minutes)'] = (pd.to_timedelta(df['HT']) - pd.to_timedelta(df['Start'])).dt.total_seconds() / 60
print(df)

You can simplify the above code using pd.to_timedelta()

df['Start'] = pd.to_timedelta(df['Start'])
df['HT'] = pd.to_timedelta(df['HT'])
df['diff(in minutes)'] = (df['HT'] - df['Start']).dt.total_seconds() / 60
print(df)

      Start        HT  diff(in minutes)
0  09:30:00  09:40:00              10.0
1  09:30:00  09:36:00               6.0
2  09:30:00  09:50:00              20.0
3  09:30:00  10:36:00              66.0

Answered By: Jamiu S.

How do i subtarct 2 time columns with each other in Python?

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