Accessing Rows and Columns

If you need to get particular rows and columns, you can easily combine both methods learned previously, in any order. That is, you can get certain row, and then choose the columns you need, or vice versa. Look at the example below, and compare both outputs.


              12345678
            
# Importing library
import pandas as pd

# Reading csv file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv')
# Get the 'mileage' column value of the first row
print(df[0:1]['mileage'])
print(df['mileage'][0])

Remember that you need to use slicing even for getting a single row.

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 3. Kapitel 5

Fråga AI

Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

Kursinnehåll

Introduction to pandas [track]

Accessing Rows and Columns


              12345678
            
# Importing library
import pandas as pd

# Reading csv file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv')
# Get the 'mileage' column value of the first row
print(df[0:1]['mileage'])
print(df['mileage'][0])

Remember that you need to use slicing even for getting a single row.

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 3. Kapitel 5