/Python/Adding new column to existing DataFrame in Pandas using concat method

Adding new column to existing DataFrame in Pandas using concat method

# import pandas library
import pandas as pd

# create pandas DataFrame
df = pd.DataFrame({'team': ['India', 'South Africa', 'New Zealand', 'England'],
                   'points': [10, 8, 3, 5],
                   'runrate': [0.5, 1.4, 2, -0.6],
                   'wins': [5, 4, 2, 2]})

# print the DataFrame
print(df)

# create a new DataFrame
df2 = pd.DataFrame([[1, 2], [2, 1], [3, 4], [0, 3]],
                   columns=['matches_left', 'lost'])

# concat and Print the new DataFrame
print(pd.concat([df, df2], axis=1))

Source: itsmycode.com

Similar codes

3 votes135 views3 answers
Convert pyqt5 ui file to python file
Python
0 vote131 views1 answer
Erase % sign in row pandas
Python
0 vote143 views1 answer
How to install flask module in vscode
Python
3 votes133 views1 answer
Input array of string in python
Python
3 votes173 views1 answer
Flask secret key generator
Python Flask
7 votes183 views3 answers
Python change data type to integer
Python
0 vote142 views1 answer
Get or create django
Python
1 vote144 views1 answer
Id() python
Python
0 vote132 views1 answer
Number of spaes pythopn
Python
1 vote135 views2 answers
Number of digits calculation
Python