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added python usage examples of add, numerator, and matrix_multiply

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1 parent b6f1a9a commit 66b20fe11a7f212fb1a2a2e4137e06c94fdf8e08 jayvius@gmail.com committed Jun 27, 2012
Showing with 76 additions and 0 deletions.
  1. +22 −0 doc/extendingufunc.rst
  2. +34 −0 doc/newgufunc.rst
  3. +20 −0 doc/newufunc.rst
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22 doc/extendingufunc.rst
@@ -125,4 +125,26 @@ object representing the sum of those two rational numbers::
REGISTER_UFUNC_BINARY_RATIONAL(add)
+ |
+
+An example of using the add ufunc with the Rational dtype::
+
+ In [1]: import numpy as np
+
+ In [2]: from rational import rational
+
+ In [3]: r1=rational(1,2)
+
+ In [4]: r2=rational(3,4)
+
+ In [5]: r3=rational(5,6)
+
+ In [6]: r4=rational(7,8)
+
+ In [7]: a=np.array([r1,r2], dtype=rational)
+
+ In [8]: b=np.array([r3,r4], dtype=rational)
+
+ In [9]: np.add(a,b)
+ Out[9]: array([4/3, 13/8], dtype=rational)
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34 doc/newgufunc.rst
@@ -102,4 +102,38 @@ vectors or matrices and performs a matrix multiply on each pair of matrix elemen
PyModule_AddObject(m,"matrix_multiply",(PyObject*)gufunc);
+ |
+
+An example of using the add ufunc with the Rational dtype::
+
+ In [1]: import numpy as np
+
+ In [2]: from rational import rational, matrix_multiply
+
+ In [3]: r1=rational(1,2)
+
+ In [4]: r2=rational(3,4)
+
+ In [5]: r3=rational(5,6)
+
+ In [6]: r4=rational(7,8)
+
+ In [7]: a=np.array([[[[r1,r2],[r3,r4]],[[r1,r2],[r3,r4]]], [[[r1,r2],[r3,r4]],[[r1,r2],[r3,r4]]]], dtype=rational)
+
+ In [8]: b=np.array([[[[r3,r4],[r1,r2]],[[r3,r4],[r1,r2]]], [[[r3,r4],[r1,r2]],[[r3,r4],[r1,r2]]]], dtype=rational)
+
+ In [9]: matrix_multiply(a,b)
+ Out[9]:
+ array([[[[19/24, 1],
+ [163/144, 133/96]],
+
+ [[19/24, 1],
+ [163/144, 133/96]]],
+
+
+ [[[19/24, 1],
+ [163/144, 133/96]],
+
+ [[19/24, 1],
+ [163/144, 133/96]]]], dtype=rational)
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20 doc/newufunc.rst
@@ -96,4 +96,24 @@ values based rational numbers from the input array.
NEW_UNARY_UFUNC(numerator,NPY_INT64,"rational number numerator");
+ |
+
+An example of using the numerator ufunc with the Rational dtype::
+
+ In [1]: import numpy as np
+
+ In [2]: from rational import rational, numerator
+
+ In [3]: r1=rational(1,2)
+
+ In [4]: r2=rational(3,4)
+
+ In [5]: r3=rational(5,6)
+
+ In [6]: r4=rational(7,8)
+
+ In [7]: a=np.array([r1,r2,r3,r4], dtype=rational)
+
+ In [8]: numerator(a)
+ Out[8]: array([1, 3, 5, 7])

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