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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: 21-Sep-2021
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