check amount of time between different rows of data (time) and date and name of employee - python-3.x

Question

I have a df with this info ['Name', 'Department', 'Date', 'Time', 'Activity'],
so for example looks like this:
Acosta, Hirto 225 West 28th Street 9/18/2019 07:25:00 Punch In
Acosta, Hirto 225 West 28th Street 9/18/2019 11:57:00 Punch Out
Acosta, Hirto 225 West 28th Street 9/18/2019 12:28:00 Punch In
Adams, Juan 225 West 28th Street 9/16/2019 06:57:00 Punch In
Adams, Juan 225 West 28th Street 9/16/2019 12:00:00 Punch Out
Adams, Juan 225 West 28th Street 9/16/2019 12:28:00 Punch In
Adams, Juan 225 West 28th Street 9/16/2019 15:30:00 Punch Out
Adams, Juan 225 West 28th Street 9/18/2019 07:04:00 Punch In
Adams, Juan 225 West 28th Street 9/18/2019 11:57:00 Punch Out
I need to calculate the time between the punch in and the punch out in the same day for the same employee.
i manage to just clean the data
like:
self.raw_data['Time'] = pd.to_datetime(self.raw_data['Time'], format='%H:%M').dt.time
sorted_db = self.raw_data.sort_values(['Name', 'Date'])
sorted_db = sorted_db[['Name', 'Department', 'Date', 'Time', 'Activity']]
any suggestions will be appreciated

Answer 1

so i found the answer of my problem and i wanted to share it.
first a separate the "Punch in" and the "Punch Out" if two columns
def process_info(self):
# filter data and organized --------------------------------------------------------------
self.raw_data['in'] = self.raw_data[self.raw_data['Activity'].str.contains('In')]['Time']
self.raw_data['pre_out'] = self.raw_data[self.raw_data['Activity'].str.contains('Out')]['Time']
after i sort the information base in date and time
sorted_data = self.raw_data.sort_values(['Date', 'Name'])
after that i use the shift function to move on level up the 'out' column so in parallel with the in.
sorted_data['out'] = sorted_data.shift(-1)['Time']
and finally i take out the extra out columns that was created in the first step. but checking if it is by itself.
filtered_data = sorted_data[sorted_data['pre_out'].isnull()]