SciPy .find_peaks()

In SciPy, the .find_peaks() function identifies the indices of local maxima (peaks) in a 1D signal array based on specified conditions.

Syntax

scipy.signal.find_peaks(x, height=None, threshold=None, distance=None, prominence=None, width=None, wlen=None, rel_height=0.5, plateau_size=None)

• x: The input data in which to search for peaks.
• height (Optional): Specifies the required height of peaks.
• threshold (Optional): The vertical distance to the neighboring samples.
• distance (Optional): Minimum horizontal distance (in samples) between neighboring peaks.
• prominence (Optional): Minimum prominence of peaks.
• width (Optional): Required width of peaks in samples.
• wlen (Optional): Used for calculating the prominence of peaks; specifies the size of the window.
• rel_height (Otional): Used for measuring the width at relative height.
• plateau_size (Optional): Specifies the size of flat peaks (plateaus).

Example

The following example showcases the .find_peaks() function:

import numpy as np
from scipy.signal import find_peaks

# Create a signal with some peaks
signal = np.array([1, 2, 3, 4, 5, 4, 3, 2, 1])

# Find the peaks in the signal
peaks, _ = find_peaks(signal)

# Print the indices of the peaks
print(peaks)

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The code above generates the following output:

[4]

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