Instead of modifying and remove the duplicate column with same name after having used: df = df.withColumn ("json_data", from_json ("JsonCol", df_json.schema)).drop ("JsonCol") I went with a solution where I used regex substitution on the JsonCol beforehand: distinct(). Extract characters from string column in pyspark is obtained using substr () function. contains () - This method checks if string specified as an argument contains in a DataFrame column if contains it returns true otherwise false. Pass the substring that you want to be removed from the start of the string as the argument. pyspark.sql.DataFrame.replace DataFrame.replace(to_replace, value=
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