Q:

Conversion of Strings to Datetime Pandas - tried everything

I know there are a lot of similar questions but I am pretty sure I have tried everything I found
Data:
    TimeStamp
    10:34:30
    10:35:30
    10:36:30
    10:37:30

I have two different .csv files and I am trying to compare the times from the two in order determine further action. 
I want to use .dt.hour or .dt.min to compare the times. Here's what I tried:
The type always remains str or float and the .dt.hour or .dt.min does not work
    def csv_to_df(path, filename):
        dateparse = lambda x: pd.datetime.strptime(x, '%H:%M:%S')
        df = pd.read_csv(path + filename, skipinitialspace = True, parse_dates = True, date_parser = dateparse)
        return df

I also tried using pd.to_datetime later for conversion. That didn't work either. 
    df_sr4500.TimeStamp=pd.to_datetime(df_sr4500.TimeStamp).dt.time
    print(df_sr4500.TimeStamp[1].dt.hour)

    ERROR: AttributeError: 'datetime.time' object has no attribute 'dt'

A:

IIUC
df.TimeStamp=pd.to_datetime(df.TimeStamp).dt.time

df.TimeStamp[1]
Out[115]: datetime.time(10, 35, 30)

df.TimeStamp[1].hour

Out[119]: 10

In case you need convert new column hour 
df.TimeStamp.apply(lambda x : x.hour)
Out[122]: 
0    10
1    10
2    10
3    10
Name: TimeStamp, dtype: int64

