While processing data I am getting the value error which contains NaN, infinity or a value too large for dtype

You can use the Pandas function to get the list of columns that had NaN

pd.isnull(train_data).sum() > 0

After handling the new Nan the code will work fine and give the result:

input contains nan, infinity or a value too large for dtype('float64')

Result

portfolio_id False

desk_id False

office_id False

pf_category False

start_date False

sold True

country_code False

euribor_rate False

currency False

libor_rate True

bought True

creation_date False

indicator_code False

sell_date False

type False

hedge_value False

status False

return False

dtype: bool

If You want to learn data science with python visit this data science online course.