![]() This allows different teams to work together and use MATLAB algorithms within production software and IT systems. #create collection of circles corresponding to markersĬircles = collections. MATLAB ® provides a flexible, two-way integration with many programming languages, including Python. Plt.scatter(x, tests, c = colors, s = markersize) Line, = plt.plot(x, models, linestyle = 'dashed', color = 'black', label = 'Model') Tests = Ĭolors = cm.brg(np.linspace(0, 1, len(models))) You can use a circle collection to represent the markers, and then have a legend label for the collection as a whole.Įxample code: import matplotlib.pyplot as plt A string starting with an underscore is the default label for all artists, so calling Axes.legend without any arguments and without setting the labels manually will result in no legend being drawn. ![]() I have a solution for you if you're willing to use all circles for markers and differentiate by color only. X_data1 = np.random.rand(num_samples) * 130 Here is the plot generated and the code used to generate it: ![]() ![]() You'll need to create your own class, like they do, that defines the legend_artist method, which then adds squares and circles as appropriate. I think it's best to use a full legend - otherwise, how will your readers know the difference between the two models, or the two datasets? I would do it this way:īut, if you really want to do it your way, you can use a custom legend as shown in this guide. ![]()
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