How to append a list to a Pandas DataFrame using append() in Python?



To append a list to a DataFrame using append(), let us first create a DataFrame. The data is in the form of lists of team rankings for our example −

 # data in the form of list of team rankings Team = [['India', 1, 100],['Australia', 2, 85],['England', 3, 75],['New Zealand', 4 , 65],['South Africa', 5, 50]] # Creating a DataFrame and adding columns dataFrame = pd.DataFrame(Team, columns=['Country', 'Rank', 'Points'])

Let’s say the following is the row to be append −

myList = [["Sri Lanka", 6, 40]] 

Append the above row in the form of list using append() −

dataFrame = dataFrame.append(pd.DataFrame(myList, columns=['Country', 'Rank', 'Points']), ignore_index=True)

Example

Following is the code −

import pandas as pd # data in the form of list of team rankings Team = [['India', 1, 100],['Australia', 2, 85],['England', 3, 75],['New Zealand', 4 , 65],['South Africa', 5, 50]] # Creating a DataFrame and adding columns dataFrame = pd.DataFrame(Team, columns=['Country', 'Rank', 'Points']) print"DataFrame...\n",dataFrame # row to be appended myList = [["Sri Lanka", 6, 40]] # append the above row in the form of list dataFrame = dataFrame.append(pd.DataFrame(myList, columns=['Country', 'Rank', 'Points']), ignore_index=True) # display the update dataframe print"\nUpdated DataFrame after appending a row...\n",dataFrame

Output

This will produce the following output −

DataFrame...         Country   Rank   Points 0         India      1      100 1     Australia      2       85 2       England      3       75 3   New Zealand      4       65 4  South Africa      5       50 Updated DataFrame after appending a row...         Country   Rank   Points 0         India      1      100 1     Australia      2       85 2       England      3       75 3   New Zealand      4       65 4  South Africa      5     50 5     Sri Lanka      6 40
Updated on: 2021-09-21T08:12:00+05:30

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