Method 1: Using Dictionary comprehension Here we will create dataframe with two columns and then convert it into a dictionary using Dictionary comprehension. df = spark.read.csv ('/FileStore/tables/Create_dict.txt',header=True) df = df.withColumn ('dict',to_json (create_map (df.Col0,df.Col1))) df_list = [row ['dict'] for row in df.select ('dict').collect ()] df_list Output is: [' {"A153534":"BDBM40705"}', ' {"R440060":"BDBM31728"}', ' {"P440245":"BDBM50445050"}'] Share Improve this answer Follow If you want a defaultdict, you need to initialize it: © 2023 pandas via NumFOCUS, Inc. PySpark DataFrame from Dictionary .dict () Although there exist some alternatives, the most practical way of creating a PySpark DataFrame from a dictionary is to first convert the dictionary to a Pandas DataFrame and then converting it to a PySpark DataFrame. Return type: Returns the dictionary corresponding to the data frame. StructField(column_1, DataType(), False), StructField(column_2, DataType(), False)]). It takes values 'dict','list','series','split','records', and'index'. py4j.protocol.Py4JError: An error occurred while calling Abbreviations are allowed. Pandas DataFrame can contain the following data type of data. acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Data Structure & Algorithm-Self Paced(C++/JAVA), Android App Development with Kotlin(Live), Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Convert PySpark DataFrame to Dictionary in Python, Converting a PySpark DataFrame Column to a Python List, Python | Maximum and minimum elements position in a list, Python Find the index of Minimum element in list, Python | Find minimum of each index in list of lists, Python | Accessing index and value in list, Python | Accessing all elements at given list of indexes, Important differences between Python 2.x and Python 3.x with examples, Statement, Indentation and Comment in Python, How to assign values to variables in Python and other languages, Adding new column to existing DataFrame in Pandas, How to get column names in Pandas dataframe. RDDs have built in function asDict() that allows to represent each row as a dict. Hosted by OVHcloud. We convert the Row object to a dictionary using the asDict() method. So I have the following structure ultimately: The create_map () function in Apache Spark is popularly used to convert the selected or all the DataFrame columns to the MapType, similar to the Python Dictionary (Dict) object. Hi Fokko, the print of list_persons renders "
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