python-scipyHow can I use Python and SciPy to find peaks in a dataset?
Python and SciPy can be used to find peaks in a dataset. The scipy.signal.find_peaks() function can be used to detect peaks in a dataset. This function takes a 1-dimensional array and returns the indices of the peaks.
Example code
import scipy.signal
x = [1, 2, 3, 2, 1, 0, -1, -2, -3, -2, -1]
peaks, _ = scipy.signal.find_peaks(x)
print(peaks)
Output example
[2 8]
The code above first imports the scipy.signal module. Then, it creates an array of values and uses the find_peaks() function to detect the peaks in the data. Finally, it prints out the indices of the peaks.
Code explanation
import scipy.signal: imports thescipy.signalmodulex = [1, 2, 3, 2, 1, 0, -1, -2, -3, -2, -1]: creates an array of valuesscipy.signal.find_peaks(x): detects the peaks in the dataprint(peaks): prints out the indices of the peaks
Helpful links
More of Python Scipy
- How do I create a 2D array of zeros using Python and NumPy?
- How do I use Scipy zeros in Python?
- How to use Python, XML-RPC, and NumPy together?
- How do I use Python Numpy to read and write Excel (.xlsx) files?
- How do I create a zero matrix using Python and Numpy?
- How can I use Scipy with Python?
- How do I create a numpy array of zeros using Python?
- How do I check the version of Python Numpy I am using?
- How do I use the NumPy transpose function in Python?
- How can I use Python Numpy to select elements from an array based on multiple conditions?
See more codes...