How to remove leading zero's from Time column in Data frame pandas

I have a dataframe like this:

Time       
07:20:45        
05:19:41       
10:16:26         
10:54:10

I want to remove leading zeros from the Time column:

Time       
7:20:45        
5:19:41       
10:16:26         
10:54:10

The code I’m using:

df1['Time'] = df1['Time'].apply(lambda x: x.lstrip('0'))

Error it’s throwing:

AttributeError: ‘datetime.time’ object has no attribute ‘lstrip’

>Solution :

What ever the reason is to do that, in this case you could cast the pandas object to a string, so stripping will be possible:

df1['Time'] = df1['Time'].astype('str').apply(lambda x: x.lstrip('0'))