The csv file has null value and is later displayed as NaN in data Frame like dropna() method. It will remove null values from the dataframe the fillna() manage and let user to replace NaN value with some value of their own.
Syntax:-
Daraframe fillna(value=none,method=none,axis=none,inplace=false,limit=none,downcast=none,**kwargs)
Parameters:-
Value:- static,dict,array to fill instead of NaN.
Method:- Used if user do not have value.
Axis:- It will take int/string values input can be 0 or 1.
Inplace:- It is referred as Boolean which make changes in dataframe if true.
Limit:- This is an integer value which specifies maximum number of consequetive.
Downcast:- It will take the dict which specify dtype to downcast which one.
**kwargs:-Any keyword argument.
Output:-