- Trending Categories
- Data Structure
- Operating System
- C Programming
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Plotting a 3d cube, a sphere and a vector in Matplotlib
Get fig from plt.figure() and create three different axes using add_subplot, where projection=3d.
Set up the figure title using ax.set_title("name of the figure"). Use the method ax.quiver to plot vector projection, plot3D for cube, and plot_wireframe for sphere after using sin and cos.
Create a new figure, or activate an existing figure.
To draw vectors, get a 2D array.
Get a zipped object.
Add an ~.axes.Axes to the figure as part of a subplot arrangement, with 3d projection, where nrows = 1, ncols = 3 and index = 1.
Plot a 3D field of arrows.
Set xlim, ylim and zlim.
Set the title of the axis (at index 1).
Add an ~.axes.Axes to the figure as part of a subplot arrangement, with 3d projection, where nrows = 1, ncols = 3 and index = 2.
Create a surface plot using plot3D(), where the surface and edge are being passed with color green.
Set the title of the axis (at index 2). i.e., “Cube”.
Add an ~.axes.Axes to the figure as part of a subplot arrangement, with 3d projection, where nrows = 1, ncols = 3 and index = 3.
To make the sphere get sin and cos curves together at the same position.
Set the title of the axis (at index 3), i.e., “Sphere”.
To show the plot, use plt.show() method.
import matplotlib.pyplot as plt import numpy as np from itertools import product, combinations fig = plt.figure() # draw vector soa = np.array([[0, 0, 1, 1, -2, 0], [0, 0, 2, 1, 1, 0], [0, 0, 3, 2, 1, 0], [0, 0, 4, 0.5, 0.7, 0]]) X, Y, Z, U, V, W = zip(*soa) ax = fig.add_subplot(131, projection='3d') ax.quiver(X, Y, Z, U, V, W) ax.set_xlim([-1, 0.5]) ax.set_ylim([-1, 1.5]) ax.set_zlim([-1, 8]) ax.set_title("Vectors") # draw cube ax = fig.add_subplot(132, projection='3d') r = [-1, 1] for s, e in combinations(np.array(list(product(r, r, r))), 2): if np.sum(np.abs(s-e)) == r-r: ax.plot3D(*zip(s, e), color="green") ax.set_title("Cube") # draw sphere ax = fig.add_subplot(133, projection='3d') u, v = np.mgrid[0:2*np.pi:20j, 0:np.pi:10j] x = np.cos(u)*np.sin(v) y = np.sin(u)*np.sin(v) z = np.cos(v) ax.plot_wireframe(x, y, z, color="red") ax.set_title("Sphere") plt.show()
- Plotting a 3D surface from a list of tuples in matplotlib?
- Plotting points on the surface of a sphere in Python's Matplotlib
- How to draw a 3D sphere in HTML5?
- How to create a Sphere (3D) in JavaFX?
- Plotting an imshow() image in 3d in Matplotlib
- Creating a 3D plot in Matplotlib from a 3D numpy array
- Animate a rotating 3D graph in Matplotlib
- Plotting a masked surface plot using Python, Numpy and Matplotlib
- How to make a 3D cube in React using react-three-fiber
- Plotting a histogram from pre-counted data in Matplotlib
- Plotting a cumulative graph of Python datetimes in Matplotlib
- Add a legend in a 3D scatterplot with scatter() in Matplotlib
- How to create a legend for a 3D bar in Matplotlib?
- How to display a 3D plot of a 3D array isosurface in matplotlib mplot3D or similar?
- Plotting a probability density function by sample with Matplotlib