If your number X falls between A and B, and you would like Y to fall between C and D, you can apply the following linear transform: Y = (X-A)/(B-A) * (D-C) + C That should give you what you want, although your question is a little ambiguous, since you could also map the interval … Read more
You will most probably want to fix the image size and get rid of all sorts of backgrounds and axis markers: import matplotlib.pyplot as plt import numpy as np plt.figure(figsize=[6, 6]) x = np.arange(0, 100, 0.00001) y = x*np.sin(2* np.pi * x) plt.plot(y) plt.axis(‘off’) plt.gca().set_position([0, 0, 1, 1]) plt.savefig(“test.svg”) The resulting SVG file contains only … Read more
Disclaimer: I’m mostly writing this post with syntactical considerations and general behaviour in mind. I’m not familiar with the memory and CPU aspect of the methods described, and I aim this answer at those who have reasonably small sets of data, such that the quality of the interpolation can be the main aspect to consider. … Read more
This should work – just linearly scale the red and green values. Assuming your max red/green/blue value is 255, and n is in range 0 .. 100 R = (255 * n) / 100 G = (255 * (100 – n)) / 100 B = 0 (Amended for integer maths, tip of the hat to … Read more