Great, thank you Patrick!
On Wednesday, September 11, 2019 at 10:17:30 PM UTC-4, Patrick wrote:
>
> Hi,
>
> You can set your own custom tick colors and positions on a colormap bar
> with something like this:
>
> cbar = pg.HistogramLUTItem(image=some_image)
> cbar.gradient.restoreState({"mode": "rgb", "ticks":
> [(0.0, (0.374272, 0.119296, 3.549696)),
> (0.125, (28.952064, 16.765952, 70.856704)),
> (0.25, (81.063424, 18.35264, 124.25728)),
> (0.375, (131.284736, 37.933824, 129.957888)),
> (0.5, (183.395072, 55.035392, 121.67424)),
> (0.625, (231.495936, 81.82016, 99.363072)),
> (0.75, (252.5952, 137.108992, 97.84576)),
> (0.875, (255.205888, 197.015296, 136.932352))]})
>
> Those tick positions should be a decent copy of magma, which I created with
>
> from matplotlib import cm
> ticks = [(i/256, tuple([256*j for j in cm.magma.colors[i]])) for i in
> range(0, cm.magma.N, 32)]
>
> Patrick
>
> On Thursday, 12 September 2019 00:39:59 UTC+9:30, Gene Beidl wrote:
>>
>> I am creating a spectrogram to be displayed as an image and I want to use
>> the magma colormap from Matplotlib.
>>
>> It's shown here:
>> https://matplotlib.org/users/colormaps.html
>>
>> And some 'magma' mapped spectrograms are here:
>> https://librosa.github.io/librosa_gallery/auto_examples/plot_hprss.html
>>
>> Is there a way to use Matplotlib colormaps with an image in pyqtgraph?
>>
>> Thanks!
>>
>>
>>
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