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  1. PO
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    <p>The plot you've shown doesn't have the color set by the vertical axis of the plot (which is what I would consider the <em>y-value</em>). Instead, it just has 8 different plots overlain, each with a different color, without stating what the color means.</p> <p>Here's an example of something that looks like your plot:</p> <pre><code>import numpy as np import matplotlib.pyplot as plt from matplotlib import cm # some fake data: x = np.linspace(0, 2*np.pi, 1000) fs = np.arange(1, 5.) ys = np.sin(x*fs[:, None]) for y, f in zip(ys, fs): plt.plot(x, y, lw=3, c=cm.hot(f/5)) </code></pre> <p><img src="https://i.stack.imgur.com/gULpI.png" alt="colors"></p> <p>If you actually want the color of one line to change with respect to its value, you have to kind of hack it, because any given <code>Line2D</code> object can only have one color, as far as I know. One way to do this is to make a scatter plot, where each dot can have any color.</p> <pre><code>x = np.linspace(0, 2*np.pi, 1000) y = np.sin(2*x) plt.scatter(x,y, c=cm.hot(np.abs(y)), edgecolor='none') </code></pre> <p>Notes:</p> <ul> <li>The color vector should range between <code>0</code> and <code>1</code>, so if <code>y.max() &gt; 1</code>, then normalize by it: <code>c=cm.hot(y/y.max())</code> and make sure it's all positive.</li> <li>I used <code>edgecolor='none'</code> because by default the <code>scatter</code> markers have a black outline which makes the it look less like a uniform line.</li> <li>If your data is spaced too far, you'll have to interpolate the data if you don't want gaps between markers.</li> </ul> <p><img src="https://i.stack.imgur.com/Jeqt4.png" alt="more colors"></p>
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    1. POChange colour of curve according to its y-value in matplotlib
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    1. POChange colour of curve according to its y-value in matplotlib
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    1. CORight you are. Forgetting the plot, however, do you have an idea of how to change the colour of the line according to the position on the vertical axis?
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      1. USJoey Dumont
    2. COIn matplotlib, one line object cannot have more than one color. The best approximation to what you want is to do a scatter plot where the color is set by the same values as the y array. I'll edit my answer soon to give an example.
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