Spectrogram generation in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

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

SciPy

from scipy.signal import [1]

# Now you can use spectrogram() to generate spectrograms.

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

Aspectrogram

Bfft

Cstft

Dwelch

Attempts:

3 left

💡 Hint

Common Mistakes

Importing fft instead of spectrogram

Using stft or welch which are different functions

The spectrogram function is imported from scipy.signal to generate spectrograms.

2fill in blank

medium

Complete the code to generate a spectrogram from the signal array using the spectrogram function.

SciPy

frequencies, times, Sxx = spectrogram([1])

# frequencies: frequency bins
# times: time bins
# Sxx: spectrogram intensity

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

Aaudio

Bnp.array

Cdata

Dsignal

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the wrong variable like np.array or data

Passing the function name instead of the signal variable

The input to spectrogram() should be the signal array, here named signal.

3fill in blank

hard

Fix the error in the code to correctly generate a spectrogram with a window size of 256 samples.

SciPy

frequencies, times, Sxx = spectrogram(signal, nperseg=[1])

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

A512

B128

C256

D1024

Attempts:

3 left

💡 Hint

Common Mistakes

Using a window size too large or too small

Not setting nperseg at all

The nperseg parameter sets the window size. To use 256 samples, set nperseg=256.

4fill in blank

hard

Fill both blanks to generate a spectrogram with a sampling frequency of 1000 Hz and a window size of 128 samples.

SciPy

frequencies, times, Sxx = spectrogram(signal, fs=[1], nperseg=[2])

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

A1000

B500

C128

D256

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up fs and nperseg values

Using wrong values for sampling frequency or window size

Set fs=1000 for 1000 Hz sampling frequency and nperseg=128 for window size.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps each frequency to its maximum spectrogram intensity if the intensity is greater than 0.5.

SciPy

max_intensity = { [1]: max(Sxx[i]) for i, [2] in enumerate(frequencies) if max(Sxx[i]) [3] 0.5 }

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

Afreq

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong variable names

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

Not using max(Sxx[i]) correctly

The dictionary comprehension uses freq as key, iterates over frequencies, and filters intensities greater than 0.5.