This question is related to the following one here Hours and time converting
I have got the following array with the corresponding values form the previous question:
a = [[7.15, 7.45, 9.30, 10.45, 13.45, 15.15, 15.45, 21.30]]
its values are floats and they represent hours of a day, e.g. 7.15
is equal to 7:15
. Now I am using the following formula to in pandas to make a comaprison:
df.loc[([df['orders_time'] >= a[0]) & (df['orders_time'] <= a[1]), 'new_time'] = 10
It returns an error saying:
Invalid comparison between dtype=datetime64[ns] and float64
I tried to change the format of the values in a
I was not able to run it.