Hướng dẫn python 3d plot
Note Click here to download the full example code Demonstration of a basic scatterplot in 3D. import matplotlib.pyplot as plt import numpy as np # Fixing random state for reproducibility np.random.seed(19680801) def randrange(n, vmin, vmax): """ Helper function to make an array of random numbers having shape (n, ) with each number distributed Uniform(vmin, vmax). """ return (vmax - vmin)*np.random.rand(n) + vmin fig = plt.figure() ax = fig.add_subplot(projection='3d') n = 100 # For each set of style and range settings, plot n random points in the box # defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh]. for m, zlow, zhigh in [('o', -50, -25), ('^', -30, -5)]: xs = randrange(n, 23, 32) ys = randrange(n, 0, 100) zs = randrange(n, zlow, zhigh) ax.scatter(xs, ys, zs, marker=m) ax.set_xlabel('X Label') ax.set_ylabel('Y Label') ax.set_zlabel('Z Label') plt.show() Gallery generated by Sphinx-Gallery Use the following code it worked for me:
while X_iso is my 3-D array and for X_vals, Y_vals, Z_vals I copied/used 1 column/axis from that array and assigned to those variables/arrays respectively. To get a 3D plot, we can use fig.add_subplot(111, projection='3d') method to instantiate the axis. After that, we can use the scatter method to draw different data points on the x, y, and z axes. Steps
Exampleimport matplotlib.pyplot as plt import numpy as np np.random.seed(1000) fig = plt.figure() ax = fig.add_subplot(111, projection='3d') n = 100 for m, zl, zh in [('o', -50, -25), ('^', -30, -5)]: xs = (32 - 23) * np.random.rand(n) + 23 ys = (100 - 0) * np.random.rand(n) zs = (zh - zl) * np.random.rand(n) + zl ax.scatter(xs, ys, zs, marker=m) ax.set_xlabel('X Label') ax.set_ylabel('Y Label') ax.set_zlabel('Z Label') plt.show() OutputUpdated on 19-Sep-2021 07:08:45
Can Matplotlib be used for 3D plotting?3D plotting in Matplotlib starts by enabling the utility toolkit. We can enable this toolkit by importing the mplot3d library, which comes with your standard Matplotlib installation via pip. Just be sure that your Matplotlib version is over 1.0. Now that our axes are created we can start plotting in 3D. How do you plot a XYZ plot in Python?“matplotlib xyz plot” Code Answer. from mpl_toolkits. mplot3d import Axes3D.. import matplotlib. pyplot as plt.. fig = plt. figure(). ax = fig. add_subplot(111, projection='3d'). How do you plot a 3D graph in Python?Plot a single point in a 3D space. Step 1: Import the libraries. import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D. ... . Step 2: Create figure and axes. fig = plt.figure(figsize=(4,4)) ax = fig.add_subplot(111, projection='3d') ... . Step 3: Plot the point.. |