Line plot color depending on a list value

Asked Jul 20 '21 at 00:42

Active Jul 20 '21 at 00:42

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from matplotlib import pyplot as plt
import numpy as np
from matplotlib import colors
from matplotlib import cm
from matplotlib.colors import ListedColormap, LinearSegmentedColormap

color_list = [-18.975, -19.269, -19, -19, -20.739, -21.612, -21.409,
              -21.436, -22.022, -22.214, -21.482, -21.958, -20.562, -21.767]

x = np.random.random(14)
y = np.random.random(14)
z = np.random.randint(-2, 3, 20)

cmap = plt.cm.RdBu
norm = colors.BoundaryNorm(np.arange(-23, -18, 0.5), cmap.N)

plt.scatter(x, y, c=color_list, cmap=cmap, norm=norm, s=100, edgecolor='none')
plt.colorbar(ticks=np.linspace(-18, -23, 10))
plt.show()

resulting plot

I want to reproduce the exact same functionality but for a normal plt.plot() line plot. I have a plot with 14 lines and want to color each line of this plot depending on the value from the color_list. So in principle just replace the coloured dots with lines. The colormap / colorbar should be discretized as well.

asked Jul 20 '21 at 00:42

albireo

https://stackoverflow.com/questions/8342549/matplotlib-add-colorbar-to-a-sequence-of-line-plots – Mikael Öhman Jul 20 '21 at 01:35
not answering your question, just want to let you know that your code won't work. You forgot ``fig = plt.figure()`` before ``plt.scatter(...)`` – Karina Jul 22 '21 at 09:55
This code will work - you don't need that line. – Robbie Mallett Aug 18 '23 at 17:20

Line plot color depending on a list value

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