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

1 vote334 views1 answer
Python check if is pandas dataframe
Python
12 votes328 views5 answers
Python UUID
Python
0 vote305 views1 answer
Python get colorscale
Python
2 votes338 views1 answer
Write a value of a string in a sentence in python
Python
0 vote324 views2 answers
ArgumentParser(parent)
Python
6 votes301 views2 answers
Merge list elements python
Python
0 vote292 views10 answers
Scrapy itemloader example
Python
1 vote298 views1 answer
•ImportError: cannot import name 'tf_utils'
Python
0 vote320 views1 answer
How to unpivot dataframe pandas
Python
5 votes314 views3 answers
Python import graphviz
Python