How to use a list of dictionary In Python

Here we are passing the individual lists which act as columns in the data frame to keys to the dictionary, so by passing the dictionary into dataframe() we can convert list to dataframe.

Syntax: pd.DataFrame{‘key’: list1, ‘key’: list2, ……..,’key’: listn}

These keys will be the column names in the dataframe.

Example:

Python3




# import pandas module
import pandas as pd
 
# consider a list
list1 = ["durga", "ramya", "sravya"]
 
list2 = ["java", "php", "mysql"]
 
list3 = [67, 89, 65]
 
# convert the list into dataframe row by
# using dictionary
dictionary = {'name': list1, 'subject': list2,
              'marks': list3}
 
data = pd.DataFrame(dictionary)
 
# display
data


Output:

How to Convert a List to a DataFrame Row in Python?

In this article, we will discuss how to convert a list to a dataframe row in Python.

Similar Reads

Method 1: Using T function

This is known as the Transpose function, this will convert the list into a row. Here each value is stored in one column....

Method 2: Creating from multi-dimensional list to dataframe row

...

Method 3: Using a list with index and columns

Here we are converting a list of lists to dataframe rows...

Method 4: Using zip() function

...

Method 5: Using a list of dictionary

Here we are getting data (rows ) from the list and assigning columns to these values from columns...

Method 6: Creating from  multi-dimensional list to dataframe row with columns

...

Contact Us