Pandas selects multiple or single row data python

Pandas selects multiple or single row data python

Pandas is a very powerful Python library for data manipulation and analysis. In actual data analysis, we usually need to select a required part from a large amount of data for analysis. Pandas can achieve this goal very conveniently. This article will introduce how to use Pandas to select multiple or single row data.

First, we need to import the Pandas library. Make sure you have it installed before importing. Execute the following code:

import pandas as pd

Next, we create a DataFrame object, as the sample data. Here, we will use an air quality dataset that contains daily air quality index data for different cities.

df = pd.read_csv('airquality.csv')

Now that we have the data, we can use Pandas' loc method to select single or multiple rows of data.

Select a single row
of data The method of selecting a single row is very simple, just use the .loc method and pass in the corresponding index value. For example, if we want to select the data in row 5, we can use the following code: