Create PySpark dataframe from dictionary Last Updated : 30 May, 2021 Comments Improve Suggest changes Like Article Like Report In this article, we are going to discuss the creation of Pyspark dataframe from the dictionary. To do this spark.createDataFrame() method method is used. This method takes two argument data and columns. The data attribute will contain the dataframe and the columns attribute will contain the list of columns name. Example 1: Python code to create the student address details and convert them to dataframe Python3 # importing module import pyspark # importing sparksession from # pyspark.sql module from pyspark.sql import SparkSession # creating sparksession and giving # an app name spark = SparkSession.builder.appName('sparkdf').getOrCreate() # list of college data with dictionary data = [{'student_id': 12, 'name': 'sravan', 'address': 'kakumanu'}] # creating a dataframe dataframe = spark.createDataFrame(data) # show data frame dataframe.show() Output: Example2: Create three dictionaries and pass them to the data frame in pyspark Python3 # importing module import pyspark # importing sparksession from # pyspark.sql module from pyspark.sql import SparkSession # creating sparksession and giving # an app name spark = SparkSession.builder.appName('sparkdf').getOrCreate() # list of college data with dictionary # with three dictionaries data = [{'student_id': 12, 'name': 'sravan', 'address': 'kakumanu'}, {'student_id': 14, 'name': 'jyothika', 'address': 'tenali'}, {'student_id': 11, 'name': 'deepika', 'address': 'repalle'}] # creating a dataframe dataframe = spark.createDataFrame(data) # show data frame dataframe.show() Output: Comment More infoAdvertise with us Next Article Create PySpark dataframe from dictionary sravankumar_171fa07058 Follow Improve Article Tags : Python Python-Pyspark Practice Tags : python Similar Reads Python Tutorial | Learn Python Programming Language Python Tutorial – Python is one of the most popular programming languages. 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