DOC: Fix small doc errors

Fix small doc/presentation errors

Author: bashtage

doc/source/change-log.rst

@@ -15,9 +15,8 @@ Since Version 1.13
    import numpy as np
    import randomstate as rs
    rs.seed(23456)
-   rs.standard_gamma(3, method='zig') # New method
-
-   rs.standard_gamma(3, method='inv') # Old method
+   rs.standard_gamma(2, size=3, method='zig') # New method
+   rs.standard_gamma(2, size=3, method='inv') # Old method
 
 * Add Ziggurat generator for standard exponential
   (:meth:`~randomstate.prng.mt19937.standard_exponential`) for both floats and
@@ -29,7 +28,6 @@ Since Version 1.13
    import randomstate as rs
    rs.seed(23456)
    rs.standard_exponential(3, method='zig') # New method
-
    rs.standard_exponential(3, method='inv') # Old method
 
 * Add SIMD-oriented Fast Mersenne Twister
@@ -80,7 +78,6 @@ Version 1.11.2
    import randomstate as rs
    rs.seed(23456)
    rs.random_sample(3, dtype=np.float64)
-
    rs.seed(23456)
    rs.random_sample(3, dtype=np.float32)
 

doc/source/index.rst

@@ -18,10 +18,21 @@ What's New or Different
 
 .. ipython:: python
 
-  from randomstate import standard_normal, standard_exponential
-  x = standard_normal(100000, method='zig')
-  y = standard_exponential(100000, method='zig')
-  z = standard_gamma(100000, method='zig')
+  from randomstate.prng.xoroshiro128plus import standard_normal
+  %timeit standard_normal(1000000, method='bm')
+  %timeit standard_normal(1000000, method='zig')
+
+.. ipython:: python
+
+  from randomstate.prng.xoroshiro128plus import standard_exponential
+  %timeit standard_exponential(1000000, method='inv')
+  %timeit standard_exponential(1000000, method='zig')
+
+.. ipython:: python
+
+  from randomstate.prng.xoroshiro128plus import standard_gamma
+  %timeit standard_gamma(3.0, 1000000, method='inv')
+  %timeit standard_gamma(3.0, 1000000, method='zig')
 
 * Optional ``dtype`` argument that accepts ``np.float32`` or ``np.float64``
   to produce either single or double prevision uniform random variables for
@@ -34,12 +45,11 @@ What's New or Different
 
 .. ipython:: python
 
-  import numpy as np
   import randomstate as rs
   rs.seed(0)
-  rs.random_sample(3, dtype=np.float64)
+  rs.random_sample(3, dtype='d')
   rs.seed(0)
-  rs.random_sample(3, dtype=np.float32)
+  rs.random_sample(3, dtype='f')
 
 * Optional ``out`` argument that allows existing arrays to be filled for
   select distributions