Create pandas dataframe from lists using dictionary Last Updated : 21 Jul, 2022 Comments Improve Suggest changes Like Article Like Report Pandas DataFrame is a 2-dimensional labeled data structure like any table with rows and columns. The size and values of the dataframe are mutable, i.e., can be modified. It is the most commonly used pandas object. Creating pandas data-frame from lists using dictionary can be achieved in multiple ways. Let’s discuss different ways to create a DataFrame one by one. Method #1: Creating DataFrame using dictionary of lists With this method in Pandas, we can transform a dictionary of lists into a dataframe. Python3 # importing pandas as pd import pandas as pd # dictionary of lists dict = {'name':["aparna", "pankaj", "sudhir", "Geeku"], 'degree': ["MBA", "BCA", "M.Tech", "MBA"], 'score':[90, 40, 80, 98]} df = pd.DataFrame(dict) df Output: As is evident from the output, the keys of a dictionary is converted into columns of a dataframe whereas the elements in lists are converted into rows. Adding index to a dataframe explicitly: Python3 import pandas as pd # dictionary of lists dict = {'name':['aparna', 'pankaj', 'sudhir', 'Geeku'], 'degree': ['MBA','BCA', 'M.Tech', 'MBA'], 'score':[90, 40, 80, 98]} df = pd.DataFrame(dict,index=['Rollno1','Rollno2','Rollno3','Rollno4']) df Output: Method #2: Using from_dict() function Python3 # importing pandas as pd import pandas as pd # dictionary of lists dict = {'name':["aparna", "pankaj", "sudhir", "Geeku"], 'degree': ["MBA", "BCA", "M.Tech", "MBA"], 'score':[90, 40, 80, 98]} df = pd.DataFrame.from_dict(dict) df Output: Method#3 : Creating dataframe by passing lists variables to dictionary Python3 import pandas as pd # dictionary of lists name=['aparna', 'pankaj', 'sudhir', 'Geeku'] degree=['MBA','BCA', 'M.Tech', 'MBA'] score=[90, 40, 80, 98] dict = {'name':name, 'degree':degree , 'score':score} df = pd.DataFrame(dict,index=['Rollno1','Rollno2','Rollno3','Rollno4']) df Output: Comment More infoAdvertise with us Next Article Create pandas dataframe from lists using dictionary akashsrivastava995 Follow Improve Article Tags : Python Practice Tags : python Similar Reads Create pandas dataframe from lists using zip One of the way to create Pandas DataFrame is by using zip() function. You can use the lists to create lists of tuples and create a dictionary from it. Then, this dictionary can be used to construct a dataframe. zip() function creates the objects and that can be used to produce single item at a time. 2 min read Create a Pandas DataFrame from List of Dicts Pandas DataFrame is a 2-dimensional labeled data structure with columns of potentially different types. It is generally the most commonly used Pandas object. Pandas DataFrame can be created in multiple ways using Python. Letâs discuss how to create a Pandas DataFrame from the List of Dictionaries. C 3 min read How to create DataFrame from dictionary in Python-Pandas? The task of converting a dictionary into a Pandas DataFrame involves transforming a dictionary into a structured, tabular format where keys represent column names or row indexes and values represent the corresponding data.Using Default ConstructorThis is the simplest method where a dictionary is dir 3 min read Create PySpark dataframe from dictionary 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 2 min read Create a Pandas DataFrame from Lists Converting lists to DataFrames is crucial in data analysis, Pandas enabling you to perform sophisticated data manipulations and analyses with ease. List to Dataframe Example# Simple listdata = [1, 2, 3, 4, 5]# Convert to DataFramedf = pd.DataFrame(data, columns=['Numbers'])Here we will discuss diffe 5 min read Like