How to append a list as a row to a Pandas DataFrame in Python?

To open a list, we can use append() method. With that, we can also use loc() method. At first, let us import the required library −

import pandas as pd

Following is the data in the form of lists of team rankings −

Team = [['India', 1, 100],['Australia', 2, 85],['England', 3, 75],['New Zealand', 4 , 65],['South Africa', 5, 50]]

Creating a DataFrame with the above data and adding columns −

dataFrame = pd.DataFrame(Team, columns=['Country', 'Rank', 'Points'])

Let’s say the following is the 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)

Example

Following is the code to append using append() −

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

Let’s see another example −

Example

Following is the code to append using the loc() method −

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],['Bangladesh', 6, 40]]

# 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", 7, 30]

# append the above row in the form of list using loc()
dataFrame.loc[len(dataFrame)] = myList

# display the update dataframe
print"\nUpdated DataFrame after appending a row using loc...\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
5    Bangladesh      6       40

Updated DataFrame after appending a row using loc...
        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    Bangladesh      6       40
6     Sri Lanka      7       30