Convolution (convolve) in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the convolve function from scipy.signal.

SciPy

from scipy.signal import [1]

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Aconvolve2d

Bfftconvolve

Ccorrelate

Dconvolve

Attempts:

3 left

💡 Hint

Common Mistakes

Importing the wrong function like fftconvolve or correlate.

Forgetting to import from scipy.signal.

The convolve function is imported from scipy.signal to perform convolution operations on arrays.

2fill in blank

medium

Complete the code to perform convolution of arrays a and b using scipy.signal.convolve.

SciPy

result = convolve(a, [1])

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Ab

Ba

C[1, 2, 3]

Dc

Attempts:

3 left

💡 Hint

Common Mistakes

Using the same array twice.

Passing a list literal instead of the variable.

The second argument to convolve is the array to convolve with the first array a. Here, it should be b.

3fill in blank

hard

Fix the error in the code to specify the convolution mode as 'full'.

SciPy

result = convolve(a, b, mode=[1])

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A'same'

B'valid'

C'full'

D'partial'

Attempts:

3 left

💡 Hint

Common Mistakes

Using an invalid mode like 'partial'.

Forgetting quotes around the mode string.

The mode parameter controls the size of the output. 'full' returns the full convolution result.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each element x in data to its convolution with kernel, only if x is greater than 0.

SciPy

{x: convolve([x], kernel, mode=[1]) for x in data if x [2] 0}

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A'valid'

B>

C<

D'same'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'valid' mode which reduces output size.

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

The mode 'same' returns an output of the same size as the input. The condition x > 0 filters positive elements.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps each key k.upper() to the convolution of its value v with kernel, only if v is positive.

SciPy

{ [1]: convolve([2], kernel, mode='full') for k, v in data.items() if v [3] 0 }

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Ak.upper()

Bv

C>

Dk

Attempts:

3 left

💡 Hint

Common Mistakes

Using the original key without uppercasing.

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

Passing the key instead of the value to convolve.

The key is transformed to uppercase with k.upper(). The value v is convolved with kernel. The condition v > 0 filters positive values.