You can achieve the same scatter plot as the one you obtained in the section above with the following call to plt. P = ax.scatter(x, y, z, c=0.5*c, cmap=plt.cm.magma)Īx. Matplotlib’s plt.plot() is a general-purpose plotting function that will allow you to create various different line or marker plots. The solution (see here also) is to use cmap in ax.scatter: from matplotlib import pyplot as plt To solve this problem we need to place the legend outside the plot. ![]() P = ax.scatter(x, y, z, c=plt.cm.magma(0.5*c))Īx.set_box_aspect() # equal aspect ratio As, we can see that the above figure legends overlapped on the graph i.e incomplete information. Here, k is the number of columns the legend should have in the graph. Using the ncol argument inside plt.legend () in below defined manner to specify the number of columns which the legend should have. For this, it will be easy to place non-disruptively all the legends. The colorbar colormap was not linked to the axes (note also the incorrect colorbar limits): from matplotlib import pyplot as pltĪx = fig.add_subplot(111, projection='3d')Ĭ = np.arange(len(x)) / len(x) # create some colours So, in this situation, we need to organize legend labels into multiple columns. ![]() Using the above answer did not solve my problem. clim(3, 7) Here we create a legend: well plot empty lists with the desired size and label for area in 100, 300, 500: plt.scatter(,, ck, alpha.
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