How to resize figure to fit window on event in matplotlib?
I’ve already got help with this problem, but stuck again.
I’m trying to pre-generate and store matplotlib figures in python, and then display them on a keyboard event (left-right cursor keys).
It is working fine, but will not fit the figures (after the first one) to the window.
How can I do that?
If I manually resize the window, then the figure will be adjusted to fit, but it is not working automatically.
How to adjust the size of one subplot independently of other subplots in a matplotlib figure?
I want to have horizontally aligned 3D and 2D plots, where the y-axis of the 2D plot is the same height as the z-axis of the 3D plot. The following code produces a default output:
“Digitize” a graph
I’ve a .png file representing the phase diagram of argon. I need to represent in the graph the point (x,y)=(0.8072,0.7866), where the coordinates are according to the axes in the image, to see what is the corresponding phase. I’ve tried with the open source program plot digitizer (https://web.eecs.utk.edu/~dcostine/personal/PowerDeviceLib/DigiTest/index.html), but it permits only to click on the graph, add a point data and see the corresponding coordinates, not the other way round. I’ve tried with python with the following code:
Matplotlib imshow and dna_features_viewer: Align X axis
I can’t find a solution to align on the X-axis a matplotlib imshow with a dna features viewer plot.
Matplotlib imshow and dna_features_viewer: Align X axis
I can’t find a solution to align on the X-axis a matplotlib imshow with a dna features viewer plot.
Matplotlib imshow and dna_features_viewer: Align X axis
I can’t find a solution to align on the X-axis a matplotlib imshow with a dna features viewer plot.
Get default line color cycle
I noticed when you plot that the first line is blue, then orange, then green, and so on.
Matplotlib make axes locatable align labels
I am using make_axes_locatable to create a plot of this layout:
Is it possible to rotate a Matplotlib V/HPacker OffsetBox?
Up front: totally open to other methods that might accomplish the same thing – I thought this would be the most straightforward way to accomplish this.
Matplotlib set min/max tick labels to be larger than data and still show 0 tick label when appropoate
I’m trying to plot some data using matplotlib and struggling to get the effect that I want without manually tuning the tick labels. I have to generate a lot of these plots, and the data changes which would be a lot of manual labor, so automation of this would be preferred. Basically, I would like the code to do ~3 things: