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
From the documentation for scatter: Optional kwargs control the Collection properties; in particular: edgecolors: The string ‘none’ to plot faces with no outlines facecolors: The string ‘none’ to plot unfilled outlines Try the following: import matplotlib.pyplot as plt import numpy as np x = np.random.randn(60) y = np.random.randn(60) plt.scatter(x, y, s=80, facecolors=”none”, edgecolors=”r”) plt.show() Note: … 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