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PEP8 fixes in doc string examples

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Johannes Schönberger
2012-11-12 19:29:00 +01:00
parent fce2ae3f5f
commit a376a07c3b
2 changed files with 19 additions and 19 deletions
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skimage/filter/rank/bilateral_rank.pyx
+5 -5
View File
@@ -170,11 +170,11 @@ def bilateral_pop(image, selem, out=None, mask=None, shift_x=False,
>>> # Local mean
>>> from skimage.morphology import square
>>> import skimage.filter.rank as rank
>>> ima8 = 255*np.array([[0, 0, 0, 0, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint8)
>>> ima8 = 255 * np.array([[0, 0, 0, 0, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint8)
>>> rank.bilateral_pop(ima8, square(3), s0=10,s1=10)
array([[3, 4, 3, 4, 3],
[4, 4, 6, 4, 4],
skimage/filter/rank/rank.pyx
+14 -14
View File
@@ -521,11 +521,11 @@ def pop(image, selem, out=None, mask=None, shift_x=False, shift_y=False):
>>> # Local mean
>>> from skimage.morphology import square
>>> import skimage.filter.rank as rank
>>> ima = 255*np.array([[0, 0, 0, 0, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint8)
>>> ima = 255 * np.array([[0, 0, 0, 0, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint8)
>>> rank.pop(ima, square(3))
array([[4, 6, 6, 6, 4],
[6, 9, 9, 9, 6],
@@ -570,11 +570,11 @@ def threshold(image, selem, out=None, mask=None, shift_x=False, shift_y=False):
>>> # Local threshold
>>> from skimage.morphology import square
>>> from skimage.filter.rank import threshold
>>> ima = 255*np.array([[0, 0, 0, 0, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint8)
>>> ima = 255 * np.array([[0, 0, 0, 0, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint8)
>>> threshold(ima, square(3))
array([[0, 0, 0, 0, 0],
[0, 1, 1, 1, 0],
@@ -703,11 +703,11 @@ def entropy(image, selem, out=None, mask=None, shift_x=False, shift_y=False):
>>> from skimage.morphology import disk
>>> # defining a 8- and a 16-bit test images
>>> a8 = data.camera()
>>> a16 = data.camera().astype(np.uint16)*4
>>> a16 = data.camera().astype(np.uint16) * 4
>>> # pixel values contain 10x the local entropy
>>> ent8 = entropy(a8,disk(5))
>>> ent8 = entropy(a8, disk(5))
>>> # pixel values contain 1000x the local entropy
>>> ent16 = entropy(a16,disk(5))
>>> ent16 = entropy(a16, disk(5))
"""
@@ -752,7 +752,7 @@ def otsu(image, selem, out=None, mask=None, shift_x=False, shift_y=False):
>>> from skimage.morphology import disk
>>> # defining a 8- and a 16-bit test images
>>> a8 = data.camera()
>>> loc_otsu = otsu(a8,disk(5))
>>> loc_otsu = otsu(a8, disk(5))
>>> thresh_image = a8 >= loc_otsu
"""