Here we draw a 3D scatter plot with a color bar. Read: Matplotlib dashed line Matplotlib 3D scatter with colorbar ax.scatter3D() method is used to create 3D scatter plot, here we pass x, y, z and color as parameter.In the above example, we import mplot3d toolkits, numpy, and pyplot libraries.Let’s see an example where we change the color of the 3D scatters: # Import libraries The syntax to change the color is given below: 3D(x, y, z, color=None) In this section, we are going to learn how to change the color of the 3D scatter plot. Read: Matplotlib plot_date Matplotlib 3D scatter color plt.show() method is used to generate graph on user screen.ax.scatter3D() method is used to create 3D scatter plot, here we pass x, y, and z as parameter.plt.figure() method is used to set figure size here we pass figsize as a parameter and plt.axes() method is used to set axes and here we pass projection as a parameter.Next, we define data using arange(), sin(), and cos() method.Let’s see an example to understand the concept more clearly: # Import libraries Here x, y, and z represent the Three-Dimensions of the plot. Matplotlib 3D scatter plot example # Import Library Visulaize a Plot: By using show() method user can generate a plot on their screen.Plot 3D scatter plot: By using scatter3D() method of the matplotlib library we can draw 3D scatter plot.Define X and Y: Define the data coordinates values used for the x-axis and y-axis data plotting.
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