How to convert column with string type to int form in pyspark data frame?

Question

I have dataframe in pyspark. Some of its numerical columns contain \'nan\' so when I am reading the data and checking for the schema of dataframe, those columns will have \'

Answer 1

You could use cast(as int) after replacing NaN with 0,

data_df = df.withColumn("Plays", df.call_time.cast('float'))