Here is how to create a pandas DataFrame from a list in Python.

import pandas

# Create a sample list of lists 
mylist = [[10, 20, 30], [4, 5, 6], [7,8,9]]
# Prepare columns names, one for each sublist
mycolumns = ['Celsius', 'Fahr', 'Kelvin'] 
# Create dataframe from the list of lists
df = pandas.DataFrame(mylist, columns=mycolumns) 
# Print out the dataframe


   Celsius  Fahr  Kelvin

0       10    20      30

1        4     5       6

2        7     8       9


The above example constructs a dataframe from a list of lists. If you just want to create a dataframe from a plain list, the code would be as below:

import pandas
mylist = [10, 20, 30]
mycolumns = ['Celsius']
df = pandas.DataFrame(mylist, columns=mycolumns)

Related HowTos
Do dictionary comprehension
Do list comprehension
Create a virtual environment
Create a new file
Merge two lists
Extract items from two different lists into one list
Check if a text file is empty
Randomly select an item from a list
Generate a random integer
Break a while loop
Create a pandas DataFrame from a dictionary
Get the last item of a list
Delete a column from a pandas dataframe
Access a column of a pandas dataframe
Create a class
Make a webpage request
Get the first two characters of a string
Recommended Course

Learn Flask development and learn to build cool apps with our premium Python course on Udemy.

Mailing List

We will keep you Python-motivated if you subscribe below.