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Frequently Asked Questions

How to do 3D plotting in Python using matplotlib?

Note that these two steps will be common in most of the 3D plotting you do in Python using Matplotlib. After we create the axes object, we can use it to create any type of plot we want in the 3D space. To plot a single point, we will use the scatter () method, and pass the three coordinates of the point.

How do I import axes3d from Matplotlib?

import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D The first one is a standard import statement for plotting using matplotlib, which you would see for 2D plotting as well. The second import of the Axes3D class is required for enabling 3D projections.

How to enable interactivity in Matplotlib?

To enable interactivity you need to use the notebook backend of matplotlib. You can do this by running %matplotlib notebook. %matplotlib notebook import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import axes3d fig = ... Note that this is is an alternative to something like %matplotlib inline, so don't try to combine them.

How to generate an interactive 3D plot?

ys: the y coordinate values of the vertices. zs: The z coordinate value (s), either one for all points or one for each point. To generate an interactive 3D plot first import the necessary packages and create a random dataset. Now using Axes3D (figure) function from the mplot3d library we can generate a required plot directly.

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