3D Scatter Plot with Matplotlib
Welcome to another 3D Matplotlib tutorial, covering how to graph a 3D scatter plot.
Graphing a 3D scatter plot is very similar to the typical scatter plot as well as the 3D wire_frame.
A quick example:
from mpl_toolkits.mplot3d import axes3dimport matplotlib.pyplot as pltfrom matplotlib import stylestyle.use('ggplot')fig = plt.figure()ax1 = fig.add_subplot(111, projection='3d')x = [1,2,3,4,5,6,7,8,9,10]y = [5,6,7,8,2,5,6,3,7,2]z = [1,2,6,3,2,7,3,3,7,2]x2 = [-1,-2,-3,-4,-5,-6,-7,-8,-9,-10]y2 = [-5,-6,-7,-8,-2,-5,-6,-3,-7,-2]z2 = [1,2,6,3,2,7,3,3,7,2]ax1.scatter(x, y, z, c='g', marker='o')ax1.scatter(x2, y2, z2, c ='r', marker='o')ax1.set_xlabel('x axis')ax1.set_ylabel('y axis')ax1.set_zlabel('z axis')plt.show()The result here:
Note here that you can change the size and marker with these plots, just like you can with a typical scatter plot.
- Introduction to Matplotlib and basic line
- Legends, Titles, and Labels with Matplotlib
- Bar Charts and Histograms with Matplotlib
- Scatter Plots with Matplotlib
- Stack Plots with Matplotlib
- Pie Charts with Matplotlib
- Loading Data from Files for Matplotlib
- Data from the Internet for Matplotlib
- Converting date stamps for Matplotlib
- Basic customization with Matplotlib
- Unix Time with Matplotlib
- Colors and Fills with Matplotlib
- Spines and Horizontal Lines with Matplotlib
- Candlestick OHLC graphs with Matplotlib
- Styles with Matplotlib
- Live Graphs with Matplotlib
- Annotations and Text with Matplotlib
- Annotating Last Price Stock Chart with Matplotlib
- Subplots with Matplotlib
- Implementing Subplots to our Chart with Matplotlib
- More indicator data with Matplotlib
- Custom fills, pruning, and cleaning with Matplotlib
- Share X Axis, sharex, with Matplotlib
- Multi Y Axis with twinx Matplotlib
- Custom Legends with Matplotlib
- Basemap Geographic Plotting with Matplotlib
- Basemap Customization with Matplotlib
- Plotting Coordinates in Basemap with Matplotlib
- 3D graphs with Matplotlib
- 3D Scatter Plot with Matplotlib
- 3D Bar Chart with Matplotlib
- Conclusion with Matplotlib
