Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Lære 1-D Arrays | Dimensions in Arrays
NumPy in a Nutshell

book1-D Arrays

A one-dimensional array is a collection of elements, all of the same type, indexed by sequences of natural numbers.

Let's have a look at an example of creating a 1-D array:


              
1234567

            
import numpy as np

# Creating array
arr = np.array([1, 2, 0, 0])

# Displaying array
print(arr)
copy

Note

We should use the np.array() function and enclose your 1-dimensional array in square brackets. For example: np.array([value1, value2, value3]).

question mark

Select all options with the INCORRECT code for creating a 1-D array.

Select the correct answer

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 2. Kapitel 1

Spørg AI

expand

Spørg AI

ChatGPT

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat

Suggested prompts:

Spørg mig spørgsmål om dette emne

Opsummér dette kapitel

Vis virkelige eksempler

book1-D Arrays

Stryg for at vise menuen

A one-dimensional array is a collection of elements, all of the same type, indexed by sequences of natural numbers.

Let's have a look at an example of creating a 1-D array:


              
1234567

            
import numpy as np

# Creating array
arr = np.array([1, 2, 0, 0])

# Displaying array
print(arr)
copy

Note

We should use the np.array() function and enclose your 1-dimensional array in square brackets. For example: np.array([value1, value2, value3]).

question mark

Select all options with the INCORRECT code for creating a 1-D array.

Select the correct answer

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 2. Kapitel 1
some-alt