How to replace a value in pandas, with NaN?

Question

I am new to pandas , I am trying to load the csv in Dataframe. My data has missing values represented as ? , and I am trying to replace it with standard Missing values - NaN

Answer 1

There are many ways folks, this is best, if you figure that your CSV file has any object for NAN like "missing", just use

    rawfile = pd.read_csv("Property_train.csv", na_values=["missing"])