Issue with date_parser: TypeError: parse() takes 1 positional argument but 2 were given

I have got the following error:

TypeError: parse() takes 1 positional argument but 2 were given

I was trying to do a basic data preparation where I wanted to parse the date-time information as a Panda DataFrame index (combine the 'date' and 'time' columns together in a single column). This is a snippet of the code:

from pandas import read_csv
from datetime import datetime
def parse(x):
    return datetime.strptime(x,'%d-%b-%y %H:%M:%S' )

dataset = read_csv("dataset.csv", header=0, parse_dates = [['date', 'time']],
                   index_col=0, date_parser= parse)

This is how the original date and time look like:

date          time
25-Apr-17   19:19:40
25-Apr-17   19:19:40
25-Apr-17   19:19:45
25-Apr-17   19:19:45

I came across an alternative way to use:

dataset = read_csv("dataset.csv", header=0, parse_dates = {'datetime':[1,2]},
                   index_col=0, date_parser=lambda x: datetime.strptime(x,'%d-%b-%y %H:%M:%S' )

But still the same issue. TypeError: <lambda>() takes 1 positional argument but 2 were given

I was wondering if you guys could help me with this issue?

After a couple of a trail and error, I eventually managed to resolve the issue. I used pd.to_datetime instead of a datetime.strptime.

from pandas import read_csv
from datetime import datetime
import pandas as pd
def parse(d, t):
    dt = d+ " " +t
    return pd.to_datetime(dt)

dataset = read_csv("dataset.csv", header=0, parse_dates={'datetime': ['date', 'time']},
                   index_col=0, date_parser= parse)

The output:

datetime
2017-04-25 19:19:40
2017-04-25 19:19:40
2017-04-25 19:19:45
2017-04-25 19:19:45

I double checked the datatype of the 'date' and 'time', they were of datatype 'object'. I am not sure if this method would work with other datatypes such as a string but it solves my problem.

Thank you everyone for your participation.