diff --git a/numpy/lib/twodim_base.py b/numpy/lib/twodim_base.py
index c1f75c630b2f..ce147965c46f 100644
--- a/numpy/lib/twodim_base.py
+++ b/numpy/lib/twodim_base.py
@@ -521,17 +521,19 @@ def histogram2d(x, y, bins=10, range=None, normed=False, weights=None):
 
     Parameters
     ----------
-    x : array_like, shape(N,)
-        A sequence of values to be histogrammed along the first dimension.
-    y : array_like, shape(M,)
-        A sequence of values to be histogrammed along the second dimension.
+    x : array_like, shape (N,)
+        An array containing the x coordinates of the points to be histogrammed.
+    y : array_like, shape (N,)
+        An array containing the y coordinates of the points to be histogrammed.
     bins : int or [int, int] or array_like or [array, array], optional
         The bin specification:
 
           * If int, the number of bins for the two dimensions (nx=ny=bins).
           * If [int, int], the number of bins in each dimension (nx, ny = bins).
-          * If array_like, the bin edges for the two dimensions (x_edges=y_edges=bins).
-          * If [array, array], the bin edges in each dimension (x_edges, y_edges = bins).
+          * If array_like, the bin edges for the two dimensions
+            (x_edges=y_edges=bins).
+          * If [array, array], the bin edges in each dimension
+            (x_edges, y_edges = bins).
 
     range : array_like, shape(2,2), optional
         The leftmost and rightmost edges of the bins along each dimension
@@ -560,8 +562,8 @@ def histogram2d(x, y, bins=10, range=None, normed=False, weights=None):
 
     See Also
     --------
-    histogram: 1D histogram
-    histogramdd: Multidimensional histogram
+    histogram : 1D histogram
+    histogramdd : Multidimensional histogram
 
     Notes
     -----
@@ -572,7 +574,7 @@ def histogram2d(x, y, bins=10, range=None, normed=False, weights=None):
       \\sum_{i=0}^{nx-1} \\sum_{j=0}^{ny-1} H_{i,j} \\Delta x_i \\Delta y_j = 1
 
     where `H` is the histogram array and :math:`\\Delta x_i \\Delta y_i`
-    the area of bin `{i,j}`.
+    the area of bin ``{i,j}``.
 
     Please note that the histogram does not follow the Cartesian convention
     where `x` values are on the abcissa and `y` values on the ordinate axis.