How to remove the date information in a column, just keep time

Question

I am using pandas dataframe. there is a specific column has time information.

the raw data likes this:

5:15am
5:28am
6:15am

so I ne

Answer 1

your_date_df.dt.time

Lets say that your column with the date ans time is df['arrived_date']:

0   2015-01-06 00:43:00
1   2015-01-06 07:56:00
2   2015-01-06 11:02:00
3   2015-01-06 11:22:00
4   2015-01-06 15:27:00
Name: arrived_date, dtype: datetime64[ns]

Whith pandas, you just need to do:

df['arrived_time']=df['arrived_date'].dt.time 

The new column df['arrived_time'] will look like this:

0    00:43:00
1    07:56:00
2    11:02:00
3    11:22:00
4    15:27:00
Name: arrived_time, dtype: object

Observe that the new column, df['arrived_time'], is no longer a datetime64 type, the type of the column is just a pandas object