np.frompyfunc() for ufunc creation in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a ufunc from a Python function that adds 5 to a number.

NumPy

import numpy as np

def add_five(x):
    return x + 5

add_five_ufunc = np.frompyfunc(add_five, 1, [1])
result = add_five_ufunc(10)
print(result)

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

A3

B1

C0

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Setting the number of outputs to 2 or 0 causes errors because the function returns only one value.

The function add_five takes 1 input argument and returns 1 output, so nin=1 and nout=1. Here, nout is 1.

2fill in blank

medium

Complete the code to create a ufunc that takes two inputs and returns their product.

NumPy

import numpy as np

def multiply(x, y):
    return x * y

multiply_ufunc = np.frompyfunc(multiply, [1], 1)
result = multiply_ufunc(3, 4)
print(result)

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A2

B1

C3

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Setting the number of inputs to 1 or 3 causes errors because the function expects exactly two inputs.

The function multiply takes 2 input arguments, so nin=2.

3fill in blank

hard

Fix the error in the code by completing the blank with the correct number of outputs for the ufunc.

NumPy

import numpy as np

def split_number(x):
    return x // 10, x % 10

split_ufunc = np.frompyfunc(split_number, 1, [1])
result = split_ufunc(34)
print(result)

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A2

B1

C3

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Setting the number of outputs to 1 causes the ufunc to return a tuple inside one output, which is not intended.

The function split_number returns two values, so nout must be 2.

4fill in blank

hard

Fill both blanks to create a ufunc that returns True if the first number is greater than the second.

NumPy

import numpy as np

def is_greater(x, y):
    return x [1] y

greater_ufunc = np.frompyfunc(is_greater, [2], 1)
result = greater_ufunc(5, 3)
print(result)

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A>

B2

C==

D!=

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong comparison operator changes the logic of the function.

Setting the number of inputs incorrectly causes errors.

The function compares if x is greater than y, so the operator is >. The function takes two inputs, so nin=2.

5fill in blank

hard

Fill both blanks to create a dictionary with the word and its length if length is greater than 3.

NumPy

words = ['cat', 'elephant', 'dog']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

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A{

Blen(word)

C>

D[

Attempts:

3 left

💡 Hint

Common Mistakes

Using square brackets instead of curly braces for dictionary comprehension.

Using wrong comparison operators like < or ==.

The code creates a dictionary comprehension, so it starts with {. The value is the length of the word, so len(word). The condition checks if length is greater than 3, so >.