How to create DataFrame from dictionary in Python-Pandas? Last Updated : 29 Sep, 2023 Improve Improve Like Article Like Save Share Report Let’s discuss how to create DataFrame from dictionary in Pandas. There are multiple ways to do this task. Create DataFrame from Dictionary using default Constructor of pandas.Dataframe class Python3 # import pandas library import pandas as pd # dictionary with list object in values details = { 'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'], 'Age' : [23, 21, 22, 21], 'University' : ['BHU', 'JNU', 'DU', 'BHU'], } # creating a Dataframe object df = pd.DataFrame(details) df Output: Create DataFrame from Dictionary with user-defined indexes. Python3 # import pandas library import pandas as pd # dictionary with list object in values details = { 'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'], 'Age' : [23, 21, 22, 21], 'University' : ['BHU', 'JNU', 'DU', 'BHU'], } # creating a Dataframe object from dictionary # with custom indexing df = pd.DataFrame(details, index = ['a', 'b', 'c', 'd']) df Output: Create DataFrame from simple dictionary i.e dictionary with key and simple value like integer or string value Python3 # import pandas library import pandas as pd # dictionary details = { 'Ankit' : 22, 'Golu' : 21, 'hacker' : 23 } # creating a Dataframe object from a list # of tuples of key, value pair df = pd.DataFrame(list(details.items())) df Output: Create DataFrame from Dictionary with required columns only Python3 # import pandas library import pandas as pd # dictionary with list object in values details = { 'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'], 'Age' : [23, 21, 22, 21], 'University' : ['BHU', 'JNU', 'DU', 'BHU'], } # creating a Dataframe object with skipping # one column i.e skipping age column. df = pd.DataFrame(details, columns = ['Name', 'University']) df Output: Create DataFrame from Dictionary with different Orientation i.e. Dictionary key is act as indexes in Dataframe Python3 # import pandas library import pandas as pd # dictionary with list object in values details = { 'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'], 'Age' : [23, 21, 22, 21], 'University' : ['BHU', 'JNU', 'DU', 'BHU'], } # creating a Dataframe object in which dictionary # key is act as index value and column value is # 0, 1, 2... df = pd.DataFrame.from_dict(details, orient = 'index') df Output: Create DataFrame from nested Dictionary Python3 # import pandas library import pandas as pd # dictionary with dictionary object # in values i.e. nested dictionary details = { 0 : { 'Name' : 'Ankit', 'Age' : 22, 'University' : 'BHU' }, 1 : { 'Name' : 'Aishwarya', 'Age' : 21, 'University' : 'JNU' }, 2 : { 'Name' : 'Shaurya', 'Age' : 23, 'University' : 'DU' } } # creating a Dataframe object # from nested dictionary # in which inside dictionary # key is act as index value # and column value is 0, 1, 2... df = pd.DataFrame(details) # swap the columns with indexes df = df.transpose() df Output: Like Article Suggest improvement Previous Get month and Year from Date in Pandas - Python Next How to Join Pandas DataFrames using Merge? Share your thoughts in the comments Add Your Comment Please Login to comment...