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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,


              
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# 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)
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Choose the correct options of creating a NumPy array.

Select the correct answer

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Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 5. Chapitre 2

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bookNumPy Arrays

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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

Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 5. Chapitre 2
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