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.
Related
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!
I am using jupyter notebook to plot some wide images and I choose to use interactive mode:
%matplotlib notebook
It should have a slider at the bottom of the figure that allows me to slide to the right and left of the figure because it is too large. However, the slide is missing now and I cannot see the full picture right now like the attached image.
Can anyone tell me how to fix this?
enter image description here
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.
I want to make a plot in matplotlib that is wide and short. I can manipulate the size of a plot as answered on this question.
However, the x-axis label disappears if the plot is not tall enough. I want to squeeze the plot more while keeping the axis label visible.
Is there a way to manipulate the size of the plot without getting rid of the axis label?
After you change the plot size, run tight_layout(). Note that this requires matplotlib v1.1 or newer. If you have an older version of matplotlib, you can run subplot_tool() or subplots_adjust to adjust the plot manually.