Different x and y scale in zoomed inset, matplotlib
insets, matplotlib, plot, python
Solution
For anyone else looking for this, it turns out this can be accomplished by using the `inset_axes()` method rather than `zoomed_inset_axes()`.
For example:
axins = inset_axes(ax, 1,1 , loc=2,bbox_to_anchor=(0.2, 0.55),bbox_transform=ax.figure.transFigure) # no zoom
The `1,1` section sets the width and height of the inset, respectively. After this, use the `xlim()` and `ylim()` to set the extents of the axes without changing the size or shape of the inset box.
Problem
I am trying to make an inset plot using matplotlib. Currently I have something like the last answer in How to zoomed a portion of image and insert in the same plot in matplotlib There is a parameter there which determines the zoom factor. However, I want to change the scale between the x and y axes, ie I want to zoom in more on the xaxis. (so in the example, the square would be mapped to a rectangle under the inset map). How do I achieve this? Here is a working example: ``` import pylab as pl import numpy as np from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes from mpl_toolkits.axes_grid1.inset_locator import mark_inset x=np.linspace(0,1,100) y=x**2 ax=pl.subplot(1,1,1) ax.plot(x,y) axins = zoomed_inset_axes(ax, 1, loc=2,bbox_to_anchor=(0.2, 0.55),bbox_transform=ax.figure.transFigure) # zoom = 6 axins.plot(x,y) x1, x2= .4, .6 y1,y2 = x1**2,x2**2 axins.set_xlim(x1, x2) axins.set_ylim(y1, y2) mark_inset(ax, axins, loc1=1, loc2=3, fc="none", ec="0.5") pl.show() ``` So what I want to do is to be able to change the width and height of the inset separately, without changing the x and y ranges of the inset.