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Which of the following is used to create a 3D plot in Matplotlib?plt.axes(projection='3d')plt.3dplot()plt.threed()plt.create_3d()

Question

Which of the following is used to create a 3D plot in Matplotlib?

  • plt.axes(projection='3d')
  • plt.3dplot()
  • plt.threed()
  • plt.create_3d()
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Solution

Break Down the Problem

  1. Identify the options provided for creating a 3D plot in Matplotlib.
  2. Understand the correct syntax and methods available in the Matplotlib library for 3D plotting.

Relevant Concepts

  • Matplotlib is a plotting library for Python that provides an object-oriented API for embedding plots into applications.
  • The mplot3d toolkit in Matplotlib allows for 3D plotting.

Analyze Each Option

  1. plt.axes(projection='3d'): This is the correct way to create a 3D axis in Matplotlib. It initializes a new axes with a 3D projection.
  2. plt.3dplot(): This is not a valid method in Matplotlib.
  3. plt.threed(): This is also not a recognized function in Matplotlib.
  4. plt.create_3d(): This method does not exist in Matplotlib.

Verify and Summarize

Among the given options, the valid method for creating a 3D plot in Matplotlib is plt.axes(projection='3d').

Final Answer

The correct option to create a 3D plot in Matplotlib is plt.axes(projection='3d').

This problem has been solved

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