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()
Solution
Break Down the Problem
- Identify the options provided for creating a 3D plot in Matplotlib.
- 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
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.plt.3dplot()
: This is not a valid method in Matplotlib.plt.threed()
: This is also not a recognized function in Matplotlib.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')
.
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