Pandas: Convert a given list of lists into a Dataframe

Last update on April 03 2025 13:11:23 (UTC/GMT +8 hours)

54. Convert List of Lists into DataFrame

Write a Pandas program to convert a given list of lists into a Dataframe.

Sample Solution :

Python Code :

import pandas as pd
my_lists = [['col1', 'col2'], [2, 4], [1, 3]]
# sets the headers as list
headers = my_lists.pop(0) 
print("Original list of lists:")
print(my_lists)
df = pd.DataFrame(my_lists, columns = headers)
print("New DataFrame")
print(df)

Sample Output:

Original list of lists:
[[2, 4], [1, 3]]
New DataFrame
   col1  col2
0     2     4
1     1     3    

For more Practice: Solve these Related Problems:

• Write a Pandas program to convert a nested list into a DataFrame and then assign custom column names.
• Write a Pandas program to transform a list of lists into a DataFrame and then transpose the DataFrame.
• Write a Pandas program to create a DataFrame from a list of lists and then add an index column based on row numbers.
• Write a Pandas program to convert a list of lists into a DataFrame and then filter rows based on a condition applied to one of the columns.

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Python Pandas program to convert DataFrame column type from string to datetime.
Next: Write a Pandas program to group by the first column and get second column as lists in rows.