diff --git a/doc/examples/plot_equalize.py b/doc/examples/plot_equalize.py
index 8b06890a..e09b5a07 100644
--- a/doc/examples/plot_equalize.py
+++ b/doc/examples/plot_equalize.py
@@ -26,6 +26,7 @@ import matplotlib.pyplot as plt
 
 import numpy as np
 
+
 def plot_img_and_hist(img, axes, bins=256):
     """Plot an image along with its histogram and cumulative histogram.
 
@@ -88,4 +89,3 @@ ax_cdf.set_ylabel('Fraction of total intensity')
 # prevent overlap of y-axis labels
 plt.subplots_adjust(wspace=0.4)
 plt.show()
-
diff --git a/skimage/exposure/exposure.py b/skimage/exposure/exposure.py
index c37afcc3..0a2a253d 100644
--- a/skimage/exposure/exposure.py
+++ b/skimage/exposure/exposure.py
@@ -218,7 +218,7 @@ def adapthist(image, nx=8, ny=8, clip_limit=0.01, nbins=256, out_range='full'):
     -------
     out - np.ndarray :
         equalized image - may be a different shape than the original
-        
+
     Notes
     -----
     * The underlying algorithm relies on an image whose rows and columns are even multiples of
diff --git a/skimage/exposure/tests/test_exposure.py b/skimage/exposure/tests/test_exposure.py
index 963758f3..9d70969a 100644
--- a/skimage/exposure/tests/test_exposure.py
+++ b/skimage/exposure/tests/test_exposure.py
@@ -96,7 +96,7 @@ def test_adapthist_float():
     adapted = exposure.adapthist(img, nx=10, ny=9, clip_limit=0.01,
                         nbins=128, out_range='original')
     assert_almost_equal = np.testing.assert_almost_equal
-    assert_almost_equal(adapted.min() , img.min())
+    assert_almost_equal(adapted.min(), img.min())
     assert_almost_equal(adapted.min(), img.min())
     assert img.shape == adapted.shape
     assert peak_snr(img, adapted) > 136