I am using this method:
df = pd.DataFrame({'date': [datetime(2021, 11, 1, 13, 30), datetime(2021, 11, 2, 13, 31), datetime(2021, 11, 3, 13, 32), datetime(2021, 11, 1, 13, 33)],
'value': [1, 2, 3, 5]})
df = df.set_index('date')
df = df.loc[
(df.index.time >= datetime.strptime("13:30", '%H:%M').time()) & \
(df.index.time < datetime.strptime("13:32", '%H:%M').time())]
Is there any better way?
I tried to use between():
df = df.loc[
df.index.time.between(
datetime.strptime("13:30", '%H:%M').time(),
datetime.strptime("13:32", '%H:%M').time())]
It generates an error:
'numpy.ndarray' object has no attribute 'between'
And I didn't manage to find an appropriate numpy function.
print (df.between_time('13:30','13:32'))
value
date
2021-11-01 13:30:00 1
2021-11-02 13:31:00 2
2021-11-03 13:32:00 3
Alternative would be
df['date'] =pd.to_datetime(df['date'])
df[df['date'].dt.strftime("%H:%M").between('13:30','13:32')]
date value
0 2021-11-01 13:30:00 1
1 2021-11-02 13:31:00 2
2 2021-11-03 13:32:00 3