In A Matplotlib Figure Window (with Imshow), How Can I Remove, Hide, Or Redefine The Displayed Position Of The Mouse?

I am using ipython with matplotlib, and I show images in this way: (started up with: ipython --pylab) figure() im = zeros([256,256]) #just a stand-in for my real images imshow

Solution 1:

You can do this quite simply on a per axis basis by simply re-assigning format_coord of the Axes object, as shown in the examples.

format_coord is any function which takes 2 arguments (x,y) and returns a string (which is then displayed on the figure.

If you want to have no display simply do:

ax.format_coord = lambda x, y: ''

If you want just the row and column (with out checking)

scale_val = 1
ax.format_coord = lambda x, y: 'r=%d,c=%d' % (scale_val * int(x + .5), 
                                             scale_val * int(y + .5))

If you want to do this on every iimage you make, simply define the wrapper function

def imshow(img, scale_val=1, ax=None, *args, **kwargs):
    if ax is None:
         ax = plt.gca()
    im = ax.imshow(img, *args, **kwargs)
    ax.format_coord = lambda x, y: 'r=%d,c=%d' % (scale_val * int(x + .5), 
                                             scale_val * int(y + .5))
    ax.figure.canvas.draw()
    return im

which with out much testing I think should more-or-less be drop-in replacement for plt.imshow

Solution 2:

Yes, you can. But it's harder than you'd think.

The mouse-tracking label you see is generated by calls to matplotlib.axes.Axes.format_coord in response to mouse tracking. You have to create your own Axes class (overriding format_coord to do what you want it to do), then instruct matplotlib to use it in place of the default one.

Specifically:

Make your own Axes subclass

from matplotlib.axes import Axes
class MyRectilinearAxes(Axes):
    name = 'MyRectilinearAxes'
    def format_coord(self, x, y):
        # Massage your data here -- good place for scalar multiplication
        if x is None:
            xs = '???'
        else:
            xs = self.format_xdata(x * .5)
        if y is None:
            ys = '???'
        else:
            ys = self.format_ydata(y * .5)
        # Format your label here -- I transposed x and y labels
        return 'x=%s y=%s' % (ys, xs)

Register your Axes subclass

from matplotlib.projections import projection_registry
projection_registry.register(MyRectilinearAxes)

Create a figure and with your custom axes

figure()
subplot(111, projection="MyRectilinearAxes")

Draw your data as before

im = zeros([256,256]) #just a stand-in for my real images
imshow(im)