Float types (float16, float32, float64) in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a NumPy array with float32 type.

NumPy

import numpy as np
arr = np.array([1.5, 2.5, 3.5], dtype=[1])
print(arr.dtype)

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

Afloat16

Bint32

Cfloat64

Dfloat32

Attempts:

3 left

💡 Hint

Common Mistakes

Using int32 instead of a float type.

Using float64 when float32 is asked.

The dtype argument specifies the data type of the array. Using float32 creates a 32-bit floating point array.

2fill in blank

medium

Complete the code to convert an existing array to float64 type.

NumPy

import numpy as np
arr = np.array([1, 2, 3])
arr_float = arr.astype([1])
print(arr_float.dtype)

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Afloat64

Bint64

Cfloat32

Dint16

Attempts:

3 left

💡 Hint

Common Mistakes

Using integer types instead of float types.

Confusing float32 with float64.

The astype method converts the array to the specified type. Here, float64 is a 64-bit float type.

3fill in blank

hard

Fix the error in the code to create a float16 NumPy array.

NumPy

import numpy as np
arr = np.array([1.1, 2.2, 3.3], dtype=[1])
print(arr.dtype)

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

Afloat64

Bfloat32

Cfloat16

Dint16

Attempts:

3 left

💡 Hint

Common Mistakes

Using float32 or float64 instead of float16.

Using integer types by mistake.

To create a float16 array, set dtype to float16. Other types will not produce the desired 16-bit float array.

4fill in blank

hard

Fill both blanks to create a dictionary with word lengths only for words longer than 3 characters.

NumPy

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

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself instead of its length.

Using '<' instead of '>' in the condition.

The dictionary comprehension maps each word to its length using len(word). The condition len(word) > 3 filters words longer than 3 characters.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase keys and values greater than 0.

NumPy

data = {'a': 1, 'b': -2, 'c': 3}
result = { [1]: [2] for k, v in data.items() if v [3] 0 }
print(result)

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Ak.upper()

Bv

C>

Dk

Attempts:

3 left

💡 Hint

Common Mistakes

Using original keys instead of uppercase keys.

Using '<' or other operators instead of '>'.

Using keys as values or vice versa.

The dictionary comprehension uses k.upper() for keys, v for values, and filters values greater than 0 with >.