How to smooth from data and plot it with Python

Question

I have a sequence of data points with a significant peak at 1 point

When I plot the data using the webplotlib python package, the 10716 peak distorts the resulting plot in a way so that the smaller values appear almost as a "flat" line. I am describing the problem with my own words since I don't have enough background knowledge about statistics. What is the best way / algorithm to smooth the peak a bit, so the other data becomes "more visible"? I already tried gaussian smoothing (link), but it appears to not be an appropriate techniqe.

enter image description here

Try using a log scale.

GWW
– GWW

2014-06-09 18:03:49 +00:00
Commented Jun 9, 2014 at 18:03 — GWW
– GWW, Commented Jun 9, 2014 at 18:03

unutbu · Accepted Answer · 2014-06-09 18:33:23Z

1

Using GWW's idea, you could use plt.semilogy:

import numpy as np
import matplotlib.pyplot as plt
x = np.loadtxt('data')
plt.semilogy(x)
plt.show()

enter image description here

edited Jun 9, 2014 at 18:33

answered Jun 9, 2014 at 18:21

unutbu

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1 Comment

brechmos Over a year ago

The other option to think about is to use a broken Y axis (e.g., matplotlib.org/examples/pylab_examples/broken_axis.html). If you need your y-axis to be linear and there is only one or two points "way up there" then you could try this.

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