Minor fixes

doc/examples/segmentation/plot_thresholding.py

@@ -49,9 +49,6 @@ plt.show()
 # the best algorithm for you data without a deep understanding of their
 # mechanisms.
 
-import matplotlib.pyplot as plt
-
-from skimage import data
 from skimage.filters import thresholding
 
 img = data.page()
@@ -61,7 +58,3 @@ img = data.page()
 fig, ax = thresholding.try_all_threshold(img, radius=20,
                                          figsize=(10, 8), verbose=False)
 plt.show()
-
-
-
-

doc/examples/xx_applications/plot_thresholding.py

@@ -51,7 +51,6 @@ plt.show()
 # and naive threshold value, which is sometimes used as a guess value.
 
 from skimage.filters.thresholding import threshold_mean
-from skimage import data
 
 
 image = data.camera()
@@ -83,9 +82,6 @@ plt.show()
 # histogram, there can be multiple pixel values with the minimum histogram
 # count, so you can pick the 'min', 'mid', or 'max' of these values.
 
-import matplotlib.pyplot as plt
-
-from skimage import data
 from skimage.filters.thresholding import threshold_minimum
 
 
@@ -182,9 +178,6 @@ plt.show()
 # each pixel  (i.e. local neighborhoods). Each threshold value is the weighted mean
 # of the local neighborhood minus an offset value.
 
-import matplotlib.pyplot as plt
-
-from skimage import data
 from skimage.filters import threshold_otsu, threshold_adaptive
 
 
@@ -223,14 +216,10 @@ plt.show()
 # The example compares the local threshold with the global threshold.
 #
 
-from skimage import data
 from skimage.morphology import disk
 from skimage.filters import threshold_otsu, rank
 from skimage.util import img_as_ubyte
 
-import matplotlib
-import matplotlib.pyplot as plt
-
 
 img = img_as_ubyte(data.page())
 

skimage/filters/thresholding.py

@@ -43,7 +43,7 @@ def _try_all(image, methods=None, figsize=None, num_cols=2, verbose=True):
     """
     from matplotlib import pyplot as plt
 
-    num_rows = math.ceil((len(methods) + 1) / 2.)
+    num_rows = math.ceil((len(methods) + 1.) / num_cols)
     num_rows = int(num_rows)  # Python 2.7 support
     fig, ax = plt.subplots(num_rows, num_cols, figsize=figsize,
                            sharex=True, sharey=True,
@@ -75,7 +75,7 @@ def try_all_threshold(image, radius=None, figsize=(8, 5), verbose=True):
     ----------
     image : (N, M) ndarray
         Input image.
-    radius : int, optinal
+    radius : int, optional
         Lengthscale used for local methods.
         If None, local methods are ignored.
     figsize : tuple, optional