diff --git a/doc/source/cookbook.rst b/doc/source/cookbook.rst
index 21c8ab4128188..df0048c8a74b4 100644
--- a/doc/source/cookbook.rst
+++ b/doc/source/cookbook.rst
@@ -1234,25 +1234,19 @@ The `method` argument within `DataFrame.corr` can accept a callable in addition
         n = len(x)
         a = np.zeros(shape=(n, n))
         b = np.zeros(shape=(n, n))
-
         for i in range(n):
             for j in range(i + 1, n):
                 a[i, j] = abs(x[i] - x[j])
                 b[i, j] = abs(y[i] - y[j])
-
         a += a.T
         b += b.T
-
         a_bar = np.vstack([np.nanmean(a, axis=0)] * n)
         b_bar = np.vstack([np.nanmean(b, axis=0)] * n)
-
         A = a - a_bar - a_bar.T + np.full(shape=(n, n), fill_value=a_bar.mean())
         B = b - b_bar - b_bar.T + np.full(shape=(n, n), fill_value=b_bar.mean())
-
         cov_ab = np.sqrt(np.nansum(A * B)) / n
         std_a = np.sqrt(np.sqrt(np.nansum(A**2)) / n)
         std_b = np.sqrt(np.sqrt(np.nansum(B**2)) / n)
-
         return cov_ab / std_a / std_b
 
     df = pd.DataFrame(np.random.normal(size=(100, 3)))