I don’t know what you mean by ‘manually’. You can choose a colourmap and make a colour array easily enough: import numpy as np import matplotlib.pyplot as plt import matplotlib.cm as cm x = np.arange(10) ys = [i+x+(i*x)**2 for i in range(10)] colors = cm.rainbow(np.linspace(0, 1, len(ys))) for y, c in zip(ys, colors): plt.scatter(x, y, … Read more
There are several ways to animate a matplotlib plot. In the following let’s look at two minimal examples using a scatter plot. (a) use interactive mode plt.ion() For an animation to take place we need an event loop. One way of getting the event loop is to use plt.ion() (“interactive on”). One then needs to … Read more
You can use tricontourf as suggested in case b. of this other answer: import matplotlib.tri as tri import matplotlib.pyplot as plt plt.tricontour(x, y, z, 15, linewidths=0.5, colors=”k”) plt.tricontourf(x, y, z, 15) Old reply: Use the following function to convert to the format required by contourf: from numpy import linspace, meshgrid from matplotlib.mlab import griddata def … Read more
I’m not aware of any plotting method which takes arrays or lists but you could use annotate() while iterating over the values in n. import matplotlib.pyplot as plt y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199] z = [0.15, 0.3, 0.45, 0.6, 0.75] n = [58, 651, 393, 203, 123] fig, ax = plt.subplots() ax.scatter(z, y) … Read more