Pandas dataframe split() 'float' object has no attribute 'split'

Question

I have a date columns like 2016-12-15 . df["first_review"].dt does not work (it says the column type is not datetime).

I am trying to separate manually but I have error:

AttributeError: 'float' object has no attribute 'split'. 

What can I do? The missing value representation is that NaN .

dates = ["first_review","host_since","last_review"]
for i in dates:
    for j in range(len(df)):
        df[i+"_year"],df[i+"_month"],df[i+"_day"] =  df.loc[j,i].split("-")
        
display_all(df["first_review_year"])

Answer 1

The solution is that

df[i+"_year"],df[i+"_month"],df[i+"_day"] = (0,0,0) if type(df.loc[j,i]) == float else df.loc[j,i].split("-")

The missing value type is float. The problem is based on that