Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Вивчайте Accessing using .loc[] [2/3] | Accessing DataFrame Values
Introduction to pandas [track]

bookAccessing using .loc[] [2/3]

Not only you can get certain rows, but you can also get specific columns. To set column/columns you want to receive, pass it as the second parameter between square brackets of .loc[].

If you want to indicate only one column, just place its name. If you want to indicate several columns, you need to pass list of their names.

Note that the first parameter must be set, even if you don't want to indicate specific rows (use : instead).

123456789
# 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 first five rows (indexes 0-4) and column 'fuelType' print(df.loc[:4, 'fuelType']) # Get the 9th - 11th rows (indexes 8, 9, 10) and columns 'model', 'year', and 'price' print(df.loc[8:10, ['model', 'year', 'price']])
copy

Все було зрозуміло?

Як ми можемо покращити це?

Дякуємо за ваш відгук!

Секція 3. Розділ 7

Запитати АІ

expand

Запитати АІ

ChatGPT

Запитайте про що завгодно або спробуйте одне із запропонованих запитань, щоб почати наш чат

Suggested prompts:

Запитайте мені питання про цей предмет

Сумаризуйте цей розділ

Покажіть реальні приклади

Awesome!

Completion rate improved to 3.33

bookAccessing using .loc[] [2/3]

Свайпніть щоб показати меню

Not only you can get certain rows, but you can also get specific columns. To set column/columns you want to receive, pass it as the second parameter between square brackets of .loc[].

If you want to indicate only one column, just place its name. If you want to indicate several columns, you need to pass list of their names.

Note that the first parameter must be set, even if you don't want to indicate specific rows (use : instead).

123456789
# 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 first five rows (indexes 0-4) and column 'fuelType' print(df.loc[:4, 'fuelType']) # Get the 9th - 11th rows (indexes 8, 9, 10) and columns 'model', 'year', and 'price' print(df.loc[8:10, ['model', 'year', 'price']])
copy

Все було зрозуміло?

Як ми можемо покращити це?

Дякуємо за ваш відгук!

Секція 3. Розділ 7
some-alt