Python numpy find local minima

import numpy as np
from scipy.signal import argrelextrema
import matplotlib.pyplot as plt

x = np.array([6, 3, 5, 2, 1, 4, 9, 7, 8])
y = np.array([2, 1, 3 ,5 ,3 ,9 ,8, 10, 7])

# sort the data in x and rearrange y accordingly
sortId = np.argsort(x)
x = x[sortId]
y = y[sortId]

# this way the x-axis corresponds to the index of x
plt.plot(x-1, y)
plt.show()
maxm = argrelextrema(y, np.greater)  # (array([1, 3, 6]),)
minm = argrelextrema(y, np.less)  # (array([2, 5, 7]),)

Source: stackoverflow.com

Similar codes

97 votes352 views6 answers
Python time.sleep
Python
2 votes320 views3 answers
If string contains list of letters python
Python
0 vote326 views1 answer
\n appears in json dump
Python
1 vote316 views2 answers
Python leetcode
Python
2 votes356 views2 answers
How to translate to string to different alphabet python
Python
1 vote396 views1 answer
Discord.py unmute
Python
-1 vote343 views1 answer
Returns a new DataFrame containing the distinct rows in this DataFrame
Python
2 votes321 views1 answer
Pandas index false print
Python
0 vote316 views1 answer
Pytest installation windows
Python
2 votes325 views3 answers
Weather today
Python