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You can use the following syntax to convert a list into a DataFrame row in Python:

#define list x = [4, 5, 8, 'A' 'B'] #convert list to DataFrame df = pd.DataFrame(x).T

And you can use the following syntax to convert a list of lists into several rows of a DataFrame:

#define list of lists big_list = [[4, 5, 6, 'B'], [4, 2, 1, 'A'], [12, 4, 8, 'C']] #convert list of lists into DataFrame df = pd.DataFrame(columns=['col1', 'col2', 'col3', 'col4'], data=big_list)

The following examples show how to use each of these functions in practice.

**Example 1: Convert a List into a DataFrame Row**

The following code shows how to convert a single list into a DataFrame with one row in Python:

import pandas as pd #define list x = [4, 5, 8, 'Mavericks'] #convert list to DataFrame df = pd.DataFrame(x).T #specify column names of DataFrame df.columns = ['Points', 'Assists', 'Rebounds', 'Team'] #display DataFrame print(df) Points Assists Rebounds Team 0 4 5 8 Mavericks

**Example 2: Convert a List of Lists into Several DataFrame Rows**

The following code shows how to convert a list of lists into a DataFrame with several rows in Python:

import pandas as pd #define list of lists big_list = [[6, 7, 12, 'Mavericks'], [4, 2, 1, 'Lakers'], [12, 4, 8, 'Spurs']] #convert list of lists into DataFrame df = pd.DataFrame(columns=['Points', 'Assists', 'Rebounds', 'Team'], data=big_list) #display DataFrame print(df) Points Assists Rebounds Team 0 6 7 12 Mavericks 1 4 2 1 Lakers 2 12 4 8 Spurs

We can verify the number of rows and columns of the resulting DataFrame by using the **.shape()** function:

print(df.shape) (3, 4)

This tells us that the resulting DataFrame has 3 rows and 4 columns.

**Additional Resources**

How to Convert a DataFrame to a List in Pandas

How to Convert a Dictionary to a DataFrame in Pandas

How to Create a Pandas DataFrame from a NumPy Array