I would like to have three plots in a single figure. The figure should have a subplot layout of two by two, where the first plot should occupy the first two subplot cells (i.e. the whole first row of plot cells) and the other plots should be positioned underneath the first one in cells 3 and 4.

Looking at the matplotlib documentation, it seems the standard way to add an AxesSubplot to a Figure is to use Figure.add_subplot:

I’m using a python code to plot 3D surface. However, the z-axis label get cut by the figure. Here is the code :

A minimal version of my problem is the following plot. How do I scale the right panel to have the same height as the left one?

A minimal version of my problem is the following plot. How do I scale the right panel to have the same height as the left one?

What is an efficient way to assign the same specs (for example, xlim) to matplotlib unpacked subplots?

I have made a subplot in matplotlib and managed to to put the different cmap I have on the same column. For a minimal working example (without the cmaps):

Signals are recorded for many temperatures and at some temperatures (that are evenly spaced), more complex experiments are performed with another varying parameter.

I’m working on a project where I need to display multiple sets of data in subplots. In this code, I’m plotting various data from different graphs on the same graph using the variable ax (it’s called like this in each of the functions I call: ax.plot(data.loc[date_plt, [var1]], label=label)). Here’s what I get with my code and what I’d like to achieve. Does anyone have any ideas?

I want to have a master plot, and various subplots that will be plotted at specific locations on the master plot coordinate system. The y coordinates should be matching and the x of the subplots is local to each.
So far I have the following code, but the subplot y coordinates do not match the y coordinate of the master plot.