Convert List to pandas DataFrame in Python (3 Examples) | Create Column & Row | Add as New Variable

How to create a pandas DataFrame from a list object in the Python programming language. More details: https://statisticsglobe.com/convert-list-pandas-dataframe-python
Python code of this video:

my_list = [1, 2, 3, 4, 5] # Create example list
print(my_list) # Print example list
# [1, 2, 3, 4, 5]

import pandas as pd # Import pandas library to Python

my_data1 = pd.DataFrame({'x': my_list}) # Create pandas DataFrame from list
print(my_data1) # Print pandas DataFrame

my_data2 = pd.DataFrame([my_list]) # Each list element as column
my_data2.columns = ['x1', 'x2', 'x3', 'x4', 'x5'] # Change column names
print(my_data2) # Print pandas DataFrame

my_data3 = pd.DataFrame({'x1':range(1, 6), # Create pandas DataFrame
'x2':range(7, 2, - 1),
'x3':range(12, 17)})
print(my_data3) # Print pandas DataFrame

my_data3['new_col'] = my_list # Add list to existing DataFrame
print(my_data3) # Print pandas DataFrame

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