CODEWITHSUNDEEP
pythonmatplotlibcurve-fitting
ZR-
ZR-

Reputation: 819

Can I plot the error band using the uncertainties of curve fitting (Python)?

Here's the least-square quadratic fitting result of my data: y = 0.06(+/- 0.16)x**2-0.65(+/-0.04)x+1.2(+/-0.001). I wonder is there a direct way to plot the fit as well as the error band? I found a similar example which used plt.fill_between method. However, in that example the boundaries are known, while in my case I'm not quite sure about the exact parameters which correspond to the boundaries. I don't know if I could use plt.fill_between or a different approach. Thanks!

Upvotes: 0

Views: 900

Answers (1)

mozway
mozway

Reputation: 260410

You can use seaborn.regplot to calculate the fit and plot it directly (order=2 is second order fit):

Here is a dummy example:

import seaborn as sns
import numpy as np

xs = np.linspace(0, 10, 50)
ys = xs**2+xs+1+np.random.normal(scale=20, size=50)

sns.regplot(x=xs, y=ys, order=2)

seaborn regplot

Upvotes: 1

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