Rename pypol into LinPy

[linpy.git] / doc / examples.rst

diff --git a/doc/examples.rst b/doc/examples.rst
index f3fbfb3..a4b0f5a 100644 (file)
--- a/doc/examples.rst
+++ b/doc/examples.rst
@@ -1,11 +1,11 @@
-Pypol Examples
+LinPy Examples
 ==============
 
 Creating a Polyhedron
 -----------------
     To create any polyhedron, first define the symbols used. Then use the polyhedron functions to define the constraints for the polyhedron. This example creates a square.
-    
-    >>> from pypol import *
+
+    >>> from linpy import *
     >>> x, y = symbols('x y')
     >>> # define the constraints of the polyhedron
     >>> square1 = Le(0, x) & Le(x, 2) & Le(0, y) & Le(y, 2)
@@ -13,32 +13,32 @@ Creating a Polyhedron
     And(Ge(x, 0), Ge(-x + 2, 0), Ge(y, 0), Ge(-y + 2, 0))
 
 Urnary Operations
------------------    
-    
+-----------------
+
     >>> square1.isempty()
     False
     >>> square1.isbounded()
     True
-    
+
 Binary Operations
 -----------------
-     
+
      >>> square2 = Le(2, x) & Le(x, 4) & Le(2, y) & Le(y, 4)
      >>> square1 + square2
      Or(And(Ge(x, 0), Ge(-x + 2, 0), Ge(y, 0), Ge(-y + 2, 0)), And(Ge(x - 2, 0), Ge(-x + 4, 0), Ge(y - 2, 0), Ge(-y + 4, 0)))
-     >>> # check if square1 and square2 are disjoint    
-     >>> square1.disjoint(square2) 
-     False  
+     >>> # check if square1 and square2 are disjoint
+     >>> square1.disjoint(square2)
+     False
 
 Plot Examples
--------------    
-     
-     Linpy uses matplotlib plotting library to plot 2D and 3D polygons. The user has the option to pass subplots to the :meth:`plot` method. This can be a useful tool to compare polygons. Also, key word arguments can be passed such as color and the degree of transparency of a polygon. 
-         
+-------------
+
+     LinPy uses matplotlib plotting library to plot 2D and 3D polygons. The user has the option to pass subplots to the :meth:`plot` method. This can be a useful tool to compare polygons. Also, key word arguments can be passed such as color and the degree of transparency of a polygon.
+
      >>> import matplotlib.pyplot as plt
      >>> from matplotlib import pylab
      >>> from mpl_toolkits.mplot3d import Axes3D
-     >>> from pypol import *
+     >>> from linpy import *
      >>> # define the symbols
      >>> x, y, z = symbols('x y z')
      >>> fig = plt.figure()
@@ -47,21 +47,21 @@ Plot Examples
      >>> cham = Le(0, x) & Le(x, 3) & Le(0, y) & Le(y, 3) & Le(0, z) & Le(z, 3) & Le(z - 2, x) & Le(x, z + 2) & Le(1 - z, x) & Le(x, 5 - z) & Le(z - 2, y) & Le(y, z + 2) & Le(1 - z, y) & Le(y, 5 - z) & Le(y - 2, x) & Le(x, y + 2) & Le(1 - y, x) & Le(x, 5 - y)
      >>> cham.plot(cham_plot, facecolors=(1, 0, 0, 0.75))
      >>> pylab.show()
-     
+
      .. figure:: images/cube.jpg
         :align:  center
-     
-     The user can also inspect a polygon's vertices and the integer points included in the polygon.   
-     
+
+     The user can also inspect a polygon's vertices and the integer points included in the polygon.
+
      >>> diamond = Ge(y, x - 1) & Le(y, x + 1) & Ge(y, -x - 1) & Le(y, -x + 1)
      >>> diamond.vertices()
      [Point({x: Fraction(0, 1), y: Fraction(1, 1)}), Point({x: Fraction(-1, 1), y: Fraction(0, 1)}), Point({x: Fraction(1, 1), y: Fraction(0, 1)}), Point({x: Fraction(0, 1), y: Fraction(-1, 1)})]
      >>> diamond.points()
      [Point({x: -1, y: 0}), Point({x: 0, y: -1}), Point({x: 0, y: 0}), Point({x: 0, y: 1}), Point({x: 1, y: 0})]
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