Create a Pandas Dataframe from a dict of equal length lists in Python

The Dataframe in pandas can be created using various options. One of the option is to take a dictionary and convert it to a Dataframe. In this article we will see how to take three lists of equal length and convert them to a pandas dataframe using a python dictionary.

Uisng Lists and Dictionary

In this approach we have the lists declared individually. Then each of them is used as a value for the appropriate key inside a dictionary definition. Finally the pandas method called pd.Dataframe is applied to the dictionary.

Example

 Live Demo

import pandas as pd # Lists for Exam schedule Days = ['Mon', 'Tue', 'Wed','Thu', 'Fri'] Sub = ['Chemisry','Physics','Maths','English','Biology'] Time = ['2 PM', '10 AM', '11 AM','1 PM', '3 PM'] # Dictionary for Exam Schedule Exam_Schedule = {'Exam Day': Days,                'Exam Subject': Sub,                'Exam Time': Time} # Dictionary to DataFrame Exam_Schedule_df = pd.DataFrame(Exam_Schedule) print(Exam_Schedule_df)

Output

Running the above code gives us the following result −

   Exam Day Exam Subject Exam Time 0    Mon    Chemisry     2 PM 1    Tue    Physics       10 AM 2    Wed    Maths         11 AM 3    Thu    English       1 PM 4    Fri    Biology       3 PM

Using Lists inside a Dictionary

In this approach we take the lists directly as the values inside the dictionary instead of declaring them individually. Then the dictionary is converted to the pandas dataframe in a similar manner as above.

Example

 Live Demo

import pandas as pd # Dictionary for Exam Schedule Exam_Schedule = { 'Exam Day': ['Mon', 'Tue', 'Wed','Thu', 'Fri'], 'Exam Subject': ['Chemisry','Physics','Maths','English','Biology'], 'Exam Time': ['2 PM', '10 AM', '11 AM','1 PM', '3 PM'] } # Dictionary to DataFrame Exam_Schedule_df = pd.DataFrame(Exam_Schedule) print(Exam_Schedule_df)

Output

Running the above code gives us the following result −

   Exam Day Exam Subject Exam Time 0    Mon       Chemisry       2 PM 1    Tue       Physics       10 AM 2    Wed       Maths          11 AM 3    Thu       English      1 PM 4    Fri       Biology        3 PM