how to set “camera position” for 3d plots using python/matplotlib?

by

By “camera position,” it sounds like you want to adjust the elevation and the azimuth angle that you use to view the 3D plot. You can set this with ax.view_init. I’ve used the below script to first create the plot, then I determined a good elevation, or elev, from which to view my plot. I then adjusted the azimuth angle, or azim, to vary the full 360deg around my plot, saving the figure at each instance (and noting which azimuth angle as I saved the plot). For a more complicated camera pan, you can adjust both the elevation and angle to achieve the desired effect.

    from mpl_toolkits.mplot3d import Axes3D
    ax = Axes3D(fig)
    ax.scatter(xx,yy,zz, marker="o", s=20, c="goldenrod", alpha=0.6)
    for ii in xrange(0,360,1):
        ax.view_init(elev=10., azim=ii)
        savefig("movie%d.png" % ii)

More Related Contents:

  1. Changing position of vertical (z) axis of 3D plot (Matplotlib)?
  2. Setting aspect ratio of 3D plot
  3. Adding colors to a 3d quiver plot in matplotlib
  4. How to increase the size of an axis (stretch) in a 3D Plot
  5. How to display a 3D plot of a 3D array isosurface with mplot3D or similar
  6. Changing position of vertical (z) axis of 3D plot
  7. Why we use plt in general not the name of the object? [closed]
  8. Generate a heatmap in MatPlotLib using a scatter data set
  9. Is it possible to plot implicit equations using Matplotlib?
  10. Can I make a multi-color line in matplotlib?
  11. What is the difference between drawing plots using plot, axes or figure in matplotlib?
  12. Intersection of two graphs in Python, find the x value
  13. Adding a legend to PyPlot in Matplotlib in the simplest manner possible
  14. Set markers for individual points on a line in Matplotlib
  15. How to set xlim and ylim for a subplot in matplotlib [duplicate]
  16. Matplotlib scatter plot with legend
  17. Seaborn showing scientific notation in heatmap for 3-digit numbers
  18. imshow(img, cmap=cm.gray) shows a white for 128 value
  19. Plot curve with blending line colors with matplotlib/pyplot
  20. Specifying the order of matplotlib layers
  21. Add legends to LineCollection plot
  22. Matplotlib cannot find basic fonts
  23. Plot yerr/xerr as shaded region rather than error bars
  24. White lines in matplotlib’s pcolor
  25. Indicating the statistically significant difference in bar graph
  26. How can I show figures separately?
  27. countplot() with frequencies
  28. Putting arrowheads on vectors in a 3d plot
  29. Horizontal stacked bar chart in Matplotlib
  30. get_xticklabels() contains empty text instances

Leave a Comment