drop rows that doesnt matched

[karlito]

Hi,
I'm working on data cleaning for a while (already posted some questions about this ) and this one is really bit "complicated" for me(beginner :p).
So this is how my raw file looks like: csv.file
How can I drop those rows that are not in a dateformat(the column type is still an object NOT datetime64[ns]!!!)

I tried this approach :

df= pd.read_csv('file.csv', header = None)
for index, row in df.iterrows():
    if df[df[1].apply(lambda x: type(x)==int)]:
        df.drop(index, inplace=True)

but didnt work
Thks
Karlito