np.array() from Python lists in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a NumPy array from a Python list.

NumPy

import numpy as np
my_list = [1, 2, 3]
arr = np.[1](my_list)
print(arr)

Drag options to blanks, or click blank then click option'

Aarray

Blist

Carray_list

Dtoarray

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'list' instead of 'array' causes an error because 'list' is not a NumPy function.

Trying to use 'toarray' which is not a valid NumPy function.

The np.array() function converts a Python list into a NumPy array.

2fill in blank

medium

Complete the code to create a 2D NumPy array from a list of lists.

NumPy

import numpy as np
my_list = [[1, 2], [3, 4]]
arr = np.[1](my_list)
print(arr.shape)

Drag options to blanks, or click blank then click option'

Amatrix

Blist

Carray

Dtolist

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'matrix' which is deprecated in NumPy.

Using 'tolist' which converts arrays back to lists.

Using np.array() on a list of lists creates a 2D NumPy array. The shape shows its dimensions.

3fill in blank

hard

Fix the error in the code to convert a list to a NumPy array.

NumPy

import numpy as np
my_list = [5, 6, 7]
arr = np.[1](my_list)
print(arr)

Drag options to blanks, or click blank then click option'

Aarray

BArray

Carr

Dtolist

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'Array' with uppercase 'A' causes an AttributeError.

Using 'tolist' which is a method to convert arrays back to lists.

The correct function is np.array() with a lowercase 'a'. Python is case-sensitive.

4fill in blank

hard

Fill both blanks to create a NumPy array and check its data type.

NumPy

import numpy as np
my_list = [1, 2, 3]
arr = np.[1](my_list)
print(arr.[2])

Drag options to blanks, or click blank then click option'

Aarray

Bshape

Cdtype

Dtolist

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'shape' instead of 'dtype' to check data type.

Using 'tolist' which converts arrays back to lists.

np.array() creates the array, and arr.dtype shows the data type of elements.

5fill in blank

hard

Fill all three blanks to create a 2D array, get its shape, and convert it back to a list.

NumPy

import numpy as np
my_list = [[1, 2], [3, 4]]
arr = np.[1](my_list)
print(arr.[2])
print(arr.[3]())

Drag options to blanks, or click blank then click option'

Aarray

Bshape

Ctolist

Ddtype

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'dtype' instead of 'shape' to get dimensions.

Forgetting parentheses when calling 'tolist()'.

np.array() creates the array, arr.shape shows its dimensions, and arr.tolist() converts it back to a Python list.