![]() ![]() I heard something about a proxy object, but I have no clue how to use that for this case. ![]() But I am labeling the points, and the code I am using is almost identical, so I am confused as to what the problem is. from matplotlib import pyplot as plt plt.rcParams'figure.figsize' 7.50, 3.50 plt.rcParams'tolayout' True fig plt.figure() ax fig. Raise ArithmeticError("Wrong number of dimensions on new point, ignoring")Ĭentroid_dim_list.append((self.centroid * len(self.points) + pt) / float(len(self.points) + 1))ĢD plots work just fine (and look really nice), but 3D plots give me a warning: UserWarning: No labeled objects found. Print "Cannot plot in dimensions lower than 2 or higher than 3" If you are not comfortable with Figure and Axes plotting notation, check out this article to help you. Syntax scatter3D (xs, ys, zs0, zdirz, s20, cNone, depthshadeTrue, args, dataNone, kwargs) Parameters: x, y: float or array-like The data points. clusters = Īx.scatter(*zip(*), c=, marker="o", label=("Cluster " + str(i + 1)))Īx = fig.add_subplot(111, projection='3d') Here would be another one: How would I show the legend and axes labels on plotlys new 3D scatter plots E.g. How to start learning Python Matplotlib 3D Plot Example If you are used to plotting with Figure and Axes notation, making 3D plots in matplotlib is almost identical to creating 2D ones. I want to plot them in either 2D or 3D after I run a clustering algorithm (that color codes the points). I believe a similar question to this was asked before, but it didn't really clarify things for me.īasically, I have a list of tuples, each of which functions as a point (so (x, y, z) for example). ![]()
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