If I plot a single `imshow` plot I can use

    fig, ax = plt.subplots()
    ax.imshow(data)
    plt.xticks( [4, 14, 24],  [5, 15, 25] )

to replace my xtick labels.

Now, I am plotting 12 `imshow` plots using 

    f, axarr = plt.subplots(4, 3)
    axarr[i, j].imshow(data)

How can I change my xticks just for one of these subplots? I can only access the axes of the subplots with `axarr[i, j]`. How can I access `plt` just for one particular subplot?

Python xticks in subplots

I&#39;m writing a software system that visualizes slices and projections through a 3D dataset.  I&#39;m using `matplotlib` and specifically `imshow` to visualize the image buffers I get back from my analysis code.

Since I&#39;d like to annotate the images with plot axes, I use the extent keyword that `imshow` supplies to map the image buffer pixel coordinates to a data space coordinate system.

Unfortuantely, `matplotlib` doesn&#39;t know about units.  Say (taking an artificial example) that I want to plot an image with dimensions of `1000 m X 1 km`.  In that case the extent would be something like `[0, 1000, 0, 1]`.  Even though the image array is square, since the aspect ratio implied by the extent keyword is 1000, the resulting plot axes also have an aspect ratio of 1000. 

 Is it possible to force the aspect ratio of the plot while still keeping the automatically generated major tick marks and labels I get by using the extent keyword?

All Imshow Solutions on Gang of Coders

Total of 2 Imshow Solutions

Python xticks in subplots

Imshow: extent and aspect