I am currently working in Jupyter Notebooks and I have an array of matplotlib scatter plots that I would like to animate and create a gif or video of.
Is this possible? Or would I need to save each of the 16+ plots as images and work from there?
Thank you!
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I can zoom when i use a 2d plot using the area selection tool with the mouse on the plot, but when i want to do the same on a 3d plot, the 3d plot is rotated.
Is this not possible in 3d mode or do i just use the wrong mouse button / keys?
I used the jupyter notebook with %matplotlib widget, after installing ipympl and restarting jupyter notebook.
Î tried it with qt5, but the zoom in the 3d plots is not possible, or at least i dont know how to do it.
I am having some real trouble trying to plot nice things with Julia.
I first used PyPlot which I was happy with but I had to be able to change the angle on a 3D plots (in that case using surface) so I now use Plots directly with the camera speficication. I would like to remove the background on a 3D plot.
using PyPlot, the following command :
ax=gca(); ax:set_axis_off
works fine.
When using Plots, I tried the following :
using Plots; pyplot(grid=false)
and then my code for the surface, and it does not change the output.
I also tried the first example on this page :https://github.com/JuliaPlots/Plots.jl/pull/695 and grid specification does not work (grids are the same on every area of the layout).
I tried after updating every package and it still does not work.
Does anyone have an idea about what would the problem be please?
Thank you in advance !
I have a fairly complicated qt4 gui with a number of matplotlib plots as shown in the picture. Each plot plots one channel of data and there are 12 channels in total. The vertical scroll bar on the right adjusts the range of channels to plot. The problem is the gui works pretty sluggishly. When the scroll bar is moved, it takes about 2 seconds to refresh the plots. Is there any way to speed it up?
The entire code is fairly large to post here. But I am using
matplotlib.backends.backend_qt4agg as the backend and use canvas.draw() to refresh each plot. Thanks!
I want to create a contour plot with matlibplot and generate a shapefile from it so that I can use it in QGIS to display it.
Though it is possible to plot a map with matplotlib and then overlay with my contour plot, the choices of map sources are limited. It would be easier to export the contour plot in a shapefile and loaded in QGIS with a customized map.
Thanks!
There is a contour plugin available in QGIS, and it is based on the contouring functions of matplotlib. It's still a little bit buggy but hopefully that will be corrected in the future.
I am using matplotlib for visualisation. I need 3d visualisation and also the animations in my visualisation. I have searched about the 3d visualisation and animation in matplotlib but get nothing useful information. Is it possible or not to use matplotlib for 3d visuallisation and animations. What are the links that I can study about it ?
Animation and 3D plot are available on mplot3d library. Take a look at wire3d_animation and mayavi Animation.
Here is what I, probably most of people, use for python numpy plotting.
For 2D figure plotting, use matplotlib.
For 3D surface and volume plotting, use mayavi.
Both of them come with their own approaches of animating plots. Nevertheless, moviepy is a great alternative approach.