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SciPydata~5 mins

Peak finding (find_peaks) in SciPy - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the purpose of the find_peaks function in SciPy?
The find_peaks function helps locate local maxima (peaks) in a 1D array of data, which is useful for identifying important points like signal peaks or high values in data.
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beginner
What does the height parameter do in find_peaks?
The height parameter sets a minimum height threshold for peaks. Only peaks with values above this threshold are detected.
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intermediate
How does the distance parameter affect peak detection in find_peaks?
The distance parameter specifies the minimum number of samples between neighboring peaks, helping to avoid detecting peaks that are too close to each other.
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beginner
What kind of data is suitable for using find_peaks?
Data that is one-dimensional and contains peaks or local maxima, such as sensor readings, stock prices, or sound waves, is suitable for find_peaks.
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intermediate
What does the output of find_peaks include?
It returns an array of indices where peaks are found. Optionally, it can also return a dictionary with properties of each peak, like height or width.
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What does find_peaks primarily detect in data?
ALocal maxima (peaks)
BLocal minima (valleys)
CAverage values
DData trends
Which parameter in find_peaks controls the minimum height of detected peaks?
Aheight
Bprominence
Cdistance
Dwidth
If you want to avoid detecting peaks that are too close, which parameter should you adjust?
Aprominence
Bwidth
Cthreshold
Ddistance
What type of data does find_peaks work on?
A2D arrays
BStrings
C1D arrays
DBoolean values
What does find_peaks return by default?
APeak heights only
BIndices of peaks
CFull data array
DNumber of peaks
Explain how you would use find_peaks to detect significant peaks in noisy data.
Think about setting minimum height and minimum distance between peaks.
You got /3 concepts.
    Describe the output of find_peaks and how you can use the additional properties it provides.
    Consider what information about each peak might be useful beyond just its position.
    You got /3 concepts.