Free online 3D grapher from GeoGebra: graph 3D functions, plot surfaces, construct solids and much more!

Explore math with our beautiful, free online graphing calculator. Graph functions, plot points, visualize algebraic equations, add sliders, animate graphs, and more.

Aug 22, 2022 · A Surface Plot is a representation of three-dimensional dataset. It describes a functional relationship between two independent variables X and Z and a designated dependent variable Y, rather than showing the individual data points. …

Dec 7, 2024 · Creating the plot: Use the plot_surface() function to generate the 3D surface. Customizing the appearance: Adjust colors, labels, and other visual elements to enhance the plot. Let’s explore these components in more detail: Output: This example illustrates the basic steps in creating a 3D surface plot.

import matplotlib.pyplot as plt import numpy as np from matplotlib import cm plt. style. use ('_mpl-gallery') # Make data X = np. arange (-5, 5, 0.25) Y = np. arange (-5, 5, 0.25) X, Y = np. meshgrid (X, Y) R = np. sqrt (X ** 2 + Y ** 2) Z = np. sin (R) # Plot the surface fig, ax = plt. subplots (subplot_kw = {"projection": "3d"}) ax. plot ...

Mar 23, 2025 · You want to plot a spherical shell at a specific radial index and assign colors based on a density function defined in spherical coordinates. This visualization aims to replicate the 4D-like plots often seen in MATLAB using the surf() function.

Detailed examples of 3D Surface Plots including changing color, size, log axes, and more in Python.

Once the 3D axes are set up, we can create a basic 3D surface plot using the ax.plot_surface method. This code generates a simple 3D surface plot of the function z = sin(sqrt(x^2 + y^2)). We can customize the appearance of the 3D surface plot in many ways.

Clicking on the graph will reveal the x, y and z values at that particular point. The table below lists which functions can be entered in the expression box. You can also apply certain constraints/inequalities to the graph.

Mar 1, 2025 · 3D surface plots are a powerful way to visualize complex relationships in data. By utilizing Matplotlib's capabilities, you can create informative and visually appealing plots that enhance your data analysis.