Axis scaling

[AKoehler]

Hello people,

I am working on modeling a groundwater problem with jupyter notebook.
The model is working just fine, but I have a problem with my plot. Since the model domain has a length of 2500m and only a width of 2m the plot appears to be very thin.
Now I want to change the scaling of my x-axis so that I can something in my plot.
But I cant make it work. I tried setting the aspect ratio but it seems to have no effect.

Here is the code for the plot:

ax = plt.subplot(1,1,1)
ax.set_aspect(0.1)
mf, mt, conc, cvt, mvt = T01('T01', -1)
conc = conc[0, :, :, :]
mm = flopy.plot.PlotMapView(model=mf)
mm.plot_grid(color='.5', alpha=0.2)
cs = mm.contour_array(conc, levels=[16.], colors='k')
plt.clabel(cs)
plt.xlabel('DISTANCE ALONG X-AXIS, IN METERS')
plt.ylabel('DISTANCE ALONG Y-AXIS, IN METERS')
plt.title('ULTIMATE')


Does anyone have an idea how to change the scaling of the axis?
Thanks in advance, Anton.

[simplesimon]

Matplotlib allows the aspect ratio, DPI and figure size to be specified when the Figure object is created, using the figsize and dpi keyword arguments. figsize is a tuple of the width and height of the figure in inches, and dpi is the dots-per-inch (pixel per inch). To create an 800x400 pixel, 100 dots-per-inch figure, we can do (http://github.com/jrjohansson/scientifi ... n-lectures)

Beispiel:

x = np.linspace(0, 5, 10)
y = x ** 2

fig, axes = plt.subplots(figsize=(4,3))

axes.plot(x, y, 'r')
axes.set_xlabel('x')
axes.set_ylabel('y')
axes.set_title('title')
plt.show()

[AKoehler]

Thank you for your reply.
I tried changing the figsize, but it didn't work. I think what I might need to do is to change the actual lenght of the axis.
I have a picture of the results, changing the figsize, but unfortunately I don't know how to put it here...

[AKoehler]

I think I might have found the problem:
https://matplotlib.org/3.1.1/gallery/im ... agrid.html