Hi,

I might be wrong, but I don't think ImageItems work with logarithmic axes. 
They are simple a bitmap image that gets drawn over a rectangular area, and 
the QTransform 
(https://doc.qt.io/qtforpython/PySide6/QtGui/QTransform.html) which is 
applied is a simple affine transform that won't apply logarithmic 
stretching.
Perhaps you could try rendering with a PColorMeshItem 
(https://pyqtgraph.readthedocs.io/en/latest/api_reference/graphicsItems/pcolormeshitem.html)
 
instead? It might be a little more complex and slower to render, but since 
it renders as a series of polygons, I think it may respect the logarithmic 
coordinates.

Patrick
On Tuesday, 24 January 2023 at 5:44:34 am UTC+10:30 [email protected] wrote:

> (pyqtgraph vers 0.13.1)  
>
> I have an application that generates a spectrogram.  I use scipys 
> spectrogram method, and generate the plot with...
>
> my_plotitem = pg.PlotItem()
>
> f, t, Sxx = scipy.signal.spectrogram( data, Fs=fs)
> my_transform = QtGui.QTransform()
> yscale = f[-1]/Sxx.shape[1]
> xscale = t[-1]/Sxx.shape[0]
> my_transform.scale(xscale, yscale)
>
> my_image = pg.ImageItem()
> my_image.setTransform(my_transform)
>
> my_image.setImage(Sxx)
> my_plotitem.addItem(my_image)
>
> my_plotitem.setLogMode(x=False, y=True)
>
> This works great, but I would like to have the y-axis (the frequencies) to 
> be a log scale.  I tried using the plotitems setLogMode method... but it 
> just changes the tick labels (incorrectly) and doesn't change the plot at 
> all.  the image on the left is with a linear y-axis, the one on the right 
> is after setting same image to setLogMode(x=False, y=True).  Note that the 
> correct range for the y-axis is 0 to 50.
>
> [image: linear.png][image: log.png]
>
> I've searched around and can't find anything. What is the correct way to 
> do this?
>
> J
>

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