Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lernen NumPy Arrays | Introduction to NumPy
Introduction to Data Analysis in Python

bookNumPy Arrays

Arrays that are provided by NumPy perform much faster than built-in Python lists. These are crucial objects for performing calculations.

To create an array from list, use the .array() method of NumPy, passing list of values as the parameter. For example,

12345678910
# Importing the library import numpy as np # List of values val = [1, 2, 3, 4, 5] # Creating a NumPy array arr1 = np.array(val) arr2 = np.array([1, 2, 3, 4, 5]) print(arr1, arr2)
copy
question mark

Choose the correct options of creating a NumPy array.

Select the correct answer

War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 5. Kapitel 2

Fragen Sie AI

expand

Fragen Sie AI

ChatGPT

Fragen Sie alles oder probieren Sie eine der vorgeschlagenen Fragen, um unser Gespräch zu beginnen

Awesome!

Completion rate improved to 2.7

bookNumPy Arrays

Swipe um das Menü anzuzeigen

Arrays that are provided by NumPy perform much faster than built-in Python lists. These are crucial objects for performing calculations.

To create an array from list, use the .array() method of NumPy, passing list of values as the parameter. For example,

12345678910
# Importing the library import numpy as np # List of values val = [1, 2, 3, 4, 5] # Creating a NumPy array arr1 = np.array(val) arr2 = np.array([1, 2, 3, 4, 5]) print(arr1, arr2)
copy
question mark

Choose the correct options of creating a NumPy array.

Select the correct answer

War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 5. Kapitel 2
some-alt