![]() ![]() Under this function, we used the numpy library to generate the data points in the code. Now we created the main() function, which is the main driving code of the program.Next, we defined the title of the plot and displayed the plot in the graph.We also used another optional attribute named color. Here we have used the scatter3D() function to plot, an in-built python function.Then we plotted the scatter plot using the following lines of code:.Next, we created the three-dimensional axis in the code using the projection attribute of the axes() function. Next we created a user-defined function called three_dimensional_scatter() function which takes three parameters name y x,y,z.Under this function, we first resized the figure in our code using the figsize attribute and set the dimension to (9,9).We imported numpy and matplotlib.,pyplot in our code using the alias names np and plt, respectively.Y values generated are: Ĭheck This: There is a full guide on Matplotlib 3D Bar Chart if you want to know more about 3D Charts. Z values generated are: ![]() #displaying the three-dimensional scatter plot Plt.title("Demonstrating 3D scatter plot") #plotting the three-dimensional scatter plot using the parameters #defining a user-defined function to plot the three-dimensional scatter plot ![]()
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