DOC: fix some minor issues with histogram2d docstring formatting.

1 files changed, 19 insertions, 9 deletions

diff --git a/numpy/lib/twodim_base.py b/numpy/lib/twodim_base.py
index 4021a1b3c..a39f60220 100644
--- a/numpy/lib/twodim_base.py
+++ b/numpy/lib/twodim_base.py
@@ -585,39 +585,48 @@ def histogram2d(x, y, bins=10, range=None, normed=False, weights=None):
 
     Examples
     --------
-    2D-histogram with variable bin width:
-
     >>> import matplotlib as mpl
     >>> import matplotlib.pyplot as plt
 
-    # First we define the bin edges                                                
+    Construct a 2D-histogram with variable bin width. First define the bin
+    edges:
+
     >>> xedges = [0, 1, 1.5, 3, 5]
     >>> yedges = [0, 2, 3, 4, 6]
 
-    # Next we create a histogram H with random bin content                         
+    Next we create a histogram H with random bin content:
+
     >>> x = np.random.normal(3, 1, 100)
     >>> y = np.random.normal(1, 1, 100)
     >>> H, xedges, yedges = np.histogram2d(y, x, bins=(xedges, yedges))
 
-    # Or we fill the histogram H with a determined bin content                     
+    Or we fill the histogram H with a determined bin content:
+
     >>> H = np.ones((4, 4)).cumsum().reshape(4, 4)
     >>> print H[::-1]  # This shows the bin content in the order as plotted
+    [[ 13.  14.  15.  16.]
+     [  9.  10.  11.  12.]
+     [  5.   6.   7.   8.]
+     [  1.   2.   3.   4.]]
+
+    Imshow can only do an equidistant representation of bins:
 
     >>> fig = plt.figure(figsize=(7, 3))
-    # Imshow can only do an equidistant representation of bins                     
     >>> ax = fig.add_subplot(131)
     >>> ax.set_title('imshow:\nequidistant')
     >>> im = plt.imshow(H, interpolation='nearest', origin='low',
                         extent=[xedges[0], xedges[-1], yedges[0], yedges[-1]])
 
-    # pcolormesh can displaying exact bin edges                                    
+    pcolormesh can displaying exact bin edges:
+
     >>> ax = fig.add_subplot(132)
     >>> ax.set_title('pcolormesh:\nexact bin edges')
     >>> X, Y = np.meshgrid(xedges, yedges)
     >>> ax.pcolormesh(X, Y, H)
     >>> ax.set_aspect('equal')
-    
-    # NonUniformImage displays exact bin edges with interpolation                  
+
+    NonUniformImage displays exact bin edges with interpolation:
+
     >>> ax = fig.add_subplot(133)
     >>> ax.set_title('NonUniformImage:\ninterpolated')
     >>> im = mpl.image.NonUniformImage(ax, interpolation='bilinear')
@@ -629,6 +638,7 @@ def histogram2d(x, y, bins=10, range=None, normed=False, weights=None):
     >>> ax.set_ylim(yedges[0], yedges[-1])
     >>> ax.set_aspect('equal')
     >>> plt.show()
+
     """
     from numpy import histogramdd