verify which part of dataframe string cannot convert to string

I have a dataframe like this

from datetime import datetime

df1=pd.DataFrame({'date':['2016-02-02','2013','2015-02-03','2014-03-02']})
try:
    pd.to_datetime(df1)
except ValueError:
  print("second is wrong")

we see that second value is not valid data format for datetime %Y-%m-%d
so what should I wrote to create desired output like this with pandas method

true
false 
true 
true

rather than using

try:
    res = bool(datetime.strptime(test_str, format))
except ValueError:
    res = False

to testing the whole dataframe with a for loop?

>Solution :

try and except is actually good practice. You can wrap it into a function which you can apply:

import pandas as pd
from datetime import datetime


def datetime_if_possible(dt):
    try:
        return datetime.fromisoformat(dt)
    except ValueError:
        return None  # or any other default value


df1 = pd.DataFrame({'date':['2016-02-02','2013','2015-02-03','2014-03-02']})

df1['parsed'] = df1['date'].apply(datetime_if_possible)

         date     parsed
0  2016-02-02 2016-02-02
1        2013        NaT
2  2015-02-03 2015-02-03
3  2014-03-02 2014-03-02