Oh, and BTW, the easiest way to demo the issue is to take
pyqtgrapy/examples/HistogramLUT.py and replace:
data = pg.gaussianFilter(np.random.normal(size=(256, 256, 3)), (20, 20, 0))
for i in range(32):
for j in range(32):
data[i*8, j*8] += .1
with:
data = np.zeros((256,256), dtype=np.uint8)
On Wednesday, October 10, 2018 at 10:05:17 AM UTC-4, Jim Crowell wrote:
>
> I've also run into this issue. The problem is in
> pyqtgraph/graphicsItems/ImageItem.py, in getHistogram():
>
> if bins == 'auto':
> mn = stepData.min()
> mx = stepData.max()
>
> ...when mx == mn. I just added in immediately after that:
>
>
> if mx == mn:
> mx += 1
>
>
>
>
> On Monday, February 19, 2018 at 4:43:37 AM UTC-5, Luca Piazza wrote:
>>
>> Hello everybody!
>>
>> beginner here... ;)
>> I'm writing a little GUI in PYQT5 to display images and I'd like to add
>> this histogram function.
>> The problem arises when my images are almost or completely black.
>> In case of an image with all 0 pixels the histogram breaks my application
>> raising the following error:
>>
>> File "C:\Program
>>> Files\Python36\lib\site-packages\pyqtgraph\graphicsItems\ImageItem.py",
>>> line 464, in getHistogram
>>> bins = np.arange(mn, mx+1.01*step, step, dtype=np.int)
>>> ValueError: arange: cannot compute length
>>
>>
>>
>> In case of an image with very few counts the histogram breaks my
>> application raising the following error:
>>
>> File "C:\Program
>>> Files\Python36\lib\site-packages\numpy\lib\function_base.py", line 727, in
>>> histogram
>>> '`bins` must increase monotonically, when an array')
>>> ValueError: `bins` must increase monotonically, when an array
>>
>>
>> Any idea for any solutions?
>> I don't have the knowledge, unfortunately, to modify the widget myself.
>>
>> Thanks!
>> Luca
>>
>>
>> ps... I will prepare a minimal example in few hours, but I preferred to
>> post this first
>>
>
--
You received this message because you are subscribed to the Google Groups
"pyqtgraph" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to [email protected].
To view this discussion on the web visit
https://groups.google.com/d/msgid/pyqtgraph/093e5b14-0481-4357-aab6-3ec1e83fc899%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
