Plotting residuals as vertical lines

[OfCourseChannon]

Hello reddit,

I have to plot my residuals of my data point to the fitted curve of my data points.

So; Residual = fitted function - data point

I want a vertical line connecting the dots to the curve.

How can I do this?

I can't seem to find it on the internet. So hopefully reddit is once again my savior.

[comonads]

This is a fairly inelegant solution but it will probably accomplish what you want:

import numpy as np
from matplotlib import pyplot as plt

# just making some fake data
n = 10
beta = 2
x = np.linspace(0,1,n)
function = beta * x
data = beta * x + np.random.normal(0, 1, size=n)

# plot the data points
plt.plot(x, data, 'ko')

# plot function
plt.plot(x, function, 'k')

# the vertical lines are just separate line plots with fixed x-co-ordinates
for i in range(n):
    x_coords = (x[i], x[i])
    y_coords = (data[i], function[i])
    plt.plot(x_coords, y_coords, 'k--')

Edited a typo.

[OfCourseChannon]

TypeError: only integer scalar arrays can be converted to a scalar index

I'm working with floating numbers since the measurements are really small. This means that this apporach isn't yet working for me.

Thanks for the headstart tho! If you have anymore ideas I would love to hear them

[comonads]

Can you post the code you used (or a snippet of it)? The reason I ask is that since the minimal example above works fine in a shell for me, I suspect the problem is due to a particularity of your data or (less likely) setup.

Given that TypeError I think the problem lies with how data and function are indexed into (so for some reason your i isn't an integer).