I am currently have a nx3 matrix array. I want plot the three columns as three axis's. How can I do that?
I have googled and people suggested using Matlab, but I am really having a hard time with understanding it. I also need it be a scatter plot.
Can someone teach me?
54 Answers
You can use matplotlib for this. matplotlib has a mplot3d module that will do exactly what you want.
import matplotlib.pyplot as plt import random fig = plt.figure(figsize=(12, 12)) ax = fig.add_subplot(projection='3d') sequence_containing_x_vals = list(range(0, 100)) sequence_containing_y_vals = list(range(0, 100)) sequence_containing_z_vals = list(range(0, 100)) random.shuffle(sequence_containing_x_vals) random.shuffle(sequence_containing_y_vals) random.shuffle(sequence_containing_z_vals) ax.scatter(sequence_containing_x_vals, sequence_containing_y_vals, sequence_containing_z_vals) plt.show() The code above generates a figure like:
Use the following code it worked for me:
# Create the figure fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Generate the values x_vals = X_iso[:, 0:1] y_vals = X_iso[:, 1:2] z_vals = X_iso[:, 2:3] # Plot the values ax.scatter(x_vals, y_vals, z_vals, c = 'b', marker='o') ax.set_xlabel('X-axis') ax.set_ylabel('Y-axis') ax.set_zlabel('Z-axis') plt.show() 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.
from mpl_toolkits import mplot3d import numpy as np import matplotlib.pyplot as plt fig = plt.figure() ax = plt.axes(projection='3d') scatter plot
zdata = 15 * np.random.random(100) xdata = np.sin(zdata) + 0.1 * np.random.randn(100) ydata = np.cos(zdata) + 0.1 * np.random.randn(100) ax.scatter3D(xdata, ydata, zdata);
Using plotly - Easiest and most functional and nice plots
import plotly.express as px df = px.data.iris() fig = px.scatter_3d(df, x='sepal_length', y='sepal_width', z='petal_width', color='species') fig.show() 
