parent
70398f7098
commit
d35991ec37
@ -268,8 +268,9 @@ class ImageItem(GraphicsObject):
|
||||
img = self.image
|
||||
while img.size > 2**16:
|
||||
img = img[::2, ::2]
|
||||
mn, mx = img.min(), img.max()
|
||||
if mn == mx:
|
||||
mn, mx = np.nanmin(img), np.nanmax(img)
|
||||
# mn and mx can still be NaN if the data is all-NaN
|
||||
if mn == mx or np.isnan(mn) or np.isnan(mx):
|
||||
mn = 0
|
||||
mx = 255
|
||||
kargs['levels'] = [mn,mx]
|
||||
@ -470,7 +471,7 @@ class ImageItem(GraphicsObject):
|
||||
This method is also used when automatically computing levels.
|
||||
"""
|
||||
if self.image is None or self.image.size == 0:
|
||||
return None,None
|
||||
return None, None
|
||||
if step == 'auto':
|
||||
step = (max(1, int(np.ceil(self.image.shape[0] / targetImageSize))),
|
||||
max(1, int(np.ceil(self.image.shape[1] / targetImageSize))))
|
||||
@ -479,8 +480,11 @@ class ImageItem(GraphicsObject):
|
||||
stepData = self.image[::step[0], ::step[1]]
|
||||
|
||||
if bins == 'auto':
|
||||
mn = stepData.min()
|
||||
mx = stepData.max()
|
||||
mn = np.nanmin(stepData)
|
||||
mx = np.nanmax(stepData)
|
||||
if np.isnan(mn) or np.isnan(mx):
|
||||
# the data are all-nan
|
||||
return None, None
|
||||
if stepData.dtype.kind in "ui":
|
||||
# For integer data, we select the bins carefully to avoid aliasing
|
||||
step = np.ceil((mx-mn) / 500.)
|
||||
|
Loading…
Reference in New Issue
Block a user