matplotlib-3d | Experimental 3D axis for matplotlib | Data Visualization library
kandi X-RAY | matplotlib-3d Summary
kandi X-RAY | matplotlib-3d Summary
Experimental 3D axis for matplotlib
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Top functions reviewed by kandi - BETA
- Create a camera view
- Creates a frustum
- Generate frustum matrix
- Create orthogonal transformation matrix
- Mouse motion
- Rotate the drag
- Project a point on the sphere
- Return a rotation about the given position
- Theta of the mesh
- Set the rotation matrix
- Gets the orientation of the quaternion
- Calculate the normals of a set of vertices
- Compact vertices within a given tolerance
- Create a subplot
- R Calculates the lighting effect of a light profile
- Create a sphere
- Connects the axes
- The phase of the mesh
matplotlib-3d Key Features
matplotlib-3d Examples and Code Snippets
Community Discussions
Trending Discussions on matplotlib-3d
QUESTION
I am making a simulator that I want to use blit on for higher performance. For 2d scatterplots I can very safely use canvas.blit()
to update my plots. But the same is not true for a 3d scatter plot.
This post:
Matplotlib 3D scatter animations
Says that the problem is specifically linked to scatter plots in 3d. I dug into the source code but did not find much(mostly due to lack of experience). Can anyone help me find out a way to allow for blitting of scatter plots in 3d?
Below you will find code that tries to blit a scatter plot:
...ANSWER
Answered 2020-Jun-15 at 07:17Since the issue lies with matplotlib.pyplot.scatter
(which returns a PathCollection
) but not with matplotlib.pyplot.plot
(which returns a Line2D
) you should be able to get away with initializing artist
like
QUESTION
I want to plot a function between 2 points using matplotlib. The similar problem, but for 3d case is without working answer: How to plot a function oriented on a local x axis matplotlib 3d?
I think it should work something like that:
...ANSWER
Answered 2020-Feb-23 at 01:39There's no magic involved. Just a translation from (0,0) to (x1,y1) and a rotation by an angle defined by dx and dy. The sine of that angle is dy/L and the cosine dx/L. Using numpy arrays is both handy to write the function is a concise form as well as speeding up the calculations.
In the code below I changed the example function to make it more clear how the function is transformed. Also, the aspect ratio is set to 'equal'. Otherwise the rotated function would look distorted.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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