The plot_surface function in the mplot3d package requires as arguments X,Y and Z to be 2d arrays. Is plot_surface the right function to plot surface and how do I transform my data into the required format?

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 ...

Apr 25, 2025 · 3D surface plots plotted with Matplotlib can be projected on 2D surfaces. The code below creates a 3D plots and visualizes its projection on 2D contour plot: Example: Python3

Jan 14, 2022 · In this Python Matplotlib tutorial, we’ll discuss the Matplotlib 2d surface plot. Here we will cover different examples related to the 2d surface plot using matplotlib. And we will also cover the following topics: Matplotlib 2d surface plot; …

Jul 30, 2024 · Matplotlib plot_surface is a powerful tool for creating three-dimensional surface plots in Python. This function, part of the mplot3d toolkit in Matplotlib, allows users to visualize complex 3D data with ease and flexibility.

In a more generic case, you'll need the right level-function and a bit of tweaking with the levels and colormap, but it seems doable. Another solution would be to use matplotlib.patches.Polygon to draw each projected face. You can use contourf to produce coloured 2D contours:

Surface Plots in Matplotlib. We can create a surface plot in Matplotlib using the plot_surface() function from the mpl_toolkits.mplot3d module. This function is useful for visualizing functions of two variables or three-dimensional datasets.

3D surface (colormap)# Demonstrates plotting a 3D surface colored with the coolwarm colormap. The surface is made opaque by using antialiased=False. Also demonstrates using the LinearLocator and custom formatting for the z axis tick labels.

Oct 16, 2024 · In this tutorial, you’ll learn how to represent 3D data in 2D using Python. We’ll explore several methods, from contour plots and heatmaps to scatter plots with color mapping and projection plots. You’ll also learn more advanced methods …

3D Surface plots created with Matplotlib can be projected onto 2D surfaces. Below is a code section that creates a 3D surface plot. The projections of the 3D surface are visualized on 2D contour plots.