Different ways to iterate over rows in Pandas Dataframe

In this article, we will see how can you iterate over rows in a Pandas data frame using Python. Pandas is a software library used for data analysis and manipulation in Python.

Requirements:

• Pandas

To get started you need to install Pandas if not already present on your system. You can install it using PIP which is a package installer for Python programming language. You can install it on your system by opening Command Prompt if you are using Windows or Terminal if you are using a Linux or Mac operating system and running the following code.

pip install pandas

Code:

import pandas as pd

#example dataframe
df = pd.DataFrame({'population': [59000000, 65000000, 434000,
                                  434000, 434000, 337000, 337000,
                                  11300, 11300],
                   'GDP': [1937894, 2583560 , 12011, 4520, 12128,
                           17036, 182, 38, 311],
                   'alpha-2': ["IT", "FR", "MT", "MV", "BN",
                               "IS", "NR", "TV", "AI"],
                   'country': ["Italy", "France", "Malta",
                         "Maldives", "Brunei", "Iceland",
                         "Nauru", "Tuvalu", "Anguilla"]})

print('Given Dataframe: \n\n', df)
print('\nIterating over rows: \n')

#Iterating over rows
for i in df.index:
    print(df['country'][i], df['GDP'][i])

Output:

Given Dataframe: 

    population      GDP alpha-2   country
0    59000000  1937894      IT     Italy
1    65000000  2583560      FR    France
2      434000    12011      MT     Malta
3      434000     4520      MV  Maldives
4      434000    12128      BN    Brunei
5      337000    17036      IS   Iceland
6      337000      182      NR     Nauru
7       11300       38      TV    Tuvalu
8       11300      311      AI  Anguilla

Iterating over rows: 

Italy 1937894
France 2583560
Malta 12011
Maldives 4520
Brunei 12128
Iceland 17036
Nauru 182
Tuvalu 38
Anguilla 311