Python Pandas Groupby not working as intended

I have a df for the month of January with a Date and Time column.

Date	Time	Global_active_power
1/1/07	0:00:00	2.58
1/1/07	0:01:00	2.52
1/1/07	0:02:00	2.55

It continues in this pattern till the final day/time of the month.

I used to following code to try and group the Dates together and sum the Global_active_power for each day.

`jan_df = jan_df.drop(columns=['Time'])

new_df = jan_df.groupby(['Date']).sum()`

I get the following output:

Date	Global_active_power
1/1/07	2749.36
1/2/07	0
1/3/07	1480.43

This dataframe goes until the last date of the month, 1/31/07

I am confused why certain days have a 0 for the value as I know that the sum should be higher than 0. For instance 1/2/07 shows 0 for global_active

I am expecting a dataframe with a row for each day of the month and the global_active values should all be higher than 0

source https://stackoverflow.com/questions/75990010/python-pandas-groupby-not-working-as-intended

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