Keyword Analysis & Research: rotate 3d plot matplotlib jupyter


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Frequently Asked Questions

How to rotate plots in Jupyter?

One way to rotate your plots is by using the magic command %matplotlib notebook at the top of your Jupyter notebooks. If you do this, all your plots appear in interactive windows. If instead, you use %matplotlib inline (the default settings), you have to rotate your plots using code.

What is the use of Matplotlib?

Initially, matplotlib was used to plot and visualize only 2D graphs, but we should thank the mplot3d toolkit available in the matplotlib library. We can visualize 3D plots such as 3D scatter plots, 3D line plots, Surface plots, Rotated plot angles, etc.

How to plot 3-D plots in Python?

To plot 3-D plots in python, we need to import the mplot3d library from the standard installation of matplotlib library from python. As matplotlib is a third-party library, it doesn’t come with a standard installation of python, so you need to install matplotlib before following this article.

How to rotate a 3D plot?

If instead, you use %matplotlib inline (the default settings), you have to rotate your plots using code. Two attributes that control the rotation of a 3D plot: ax.elev and ax.azim, which represent the elevation and azimuthal angles of the plot, respectively.


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