X-Git-Url: https://svn.cri.ensmp.fr/git/linpy.git/blobdiff_plain/98936866ae400d45b7b74f7ba0d04c66ace0424f..5a5fd1db359b190c6207301eb08705a34367968a:/doc/examples.rst?ds=sidebyside diff --git a/doc/examples.rst b/doc/examples.rst index 793ecbe..b552b7f 100644 --- a/doc/examples.rst +++ b/doc/examples.rst @@ -1,22 +1,118 @@ -Pypol Examples -============== -Creating a Square ------------------ - 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:: - - >>> x, y = symbols('x y') - >>> # define the constraints of the polyhedron - >>> square = Le(0, x) & Le(x, 2) & Le(0, y) & Le(y, 2) - >>> print(square) - >>> And(Ge(x, 0), Ge(-x + 2, 0), Ge(y, 0), Ge(-y + 2, 0)) +.. _examples: - Several unary operations can be performed on a polyhedron. For example: :: - - >>> ¬square +Examples +======== +Basic Examples +-------------- + +To create any polyhedron, first define the symbols used. +Then use the polyhedron functions to define the constraints. +The following is a simple running example illustrating some different operations and properties that can be performed by LinPy with two squares. + +>>> 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) +>>> square1 +And(Ge(x, 0), Ge(-x + 2, 0), Ge(y, 0), Ge(-y + 2, 0)) + +Binary operations and properties examples: + +>>> # create a polyhedron from a string +>>> square2 = Polyhedron('1 <= x') & Polyhedron('x <= 3') & \ + Polyhedron('1 <= y') & Polyhedron('y <= 3') +>>> #test equality +>>> square1 == square2 +False +>>> # compute the union of two polyhedra +>>> square1 | square2 +Or(And(Ge(x, 0), Ge(-x + 2, 0), Ge(y, 0), Ge(-y + 2, 0)), \ + And(Ge(x - 1, 0), Ge(-x + 3, 0), Ge(y - 1, 0), Ge(-y + 3, 0))) +>>> # check if square1 and square2 are disjoint +>>> square1.disjoint(square2) +False +>>> # compute the intersection of two polyhedra +>>> square1 & square2 +And(Ge(x - 1, 0), Ge(-x + 2, 0), Ge(y - 1, 0), Ge(-y + 2, 0)) +>>> # compute the convex union of two polyhedra +>>> Polyhedron(square1 | sqaure2) +And(Ge(x, 0), Ge(y, 0), Ge(-y + 3, 0), Ge(-x + 3, 0), \ + Ge(x - y + 2, 0), Ge(-x + y + 2, 0)) + +Unary operation and properties examples: + +>>> square1.isempty() +False +>>> # compute the complement of square1 +>>> ~square1 +Or(Ge(-x - 1, 0), Ge(x - 3, 0), And(Ge(x, 0), Ge(-x + 2, 0), \ + Ge(-y - 1, 0)), And(Ge(x, 0), Ge(-x + 2, 0), Ge(y - 3, 0))) +>>> square1.symbols() +(x, y) +>>> square1.inequalities +(x, -x + 2, y, -y + 2) +>>> # project out the variable x +>>> square1.project([x]) +And(Ge(-y + 2, 0), Ge(y, 0)) Plot Examples -------------- - - +------------- + +LinPy can use the matplotlib plotting library to plot 2D and 3D polygons. +This can be a useful tool to visualize and compare polygons. +The user has the option to pass plot objects to the :meth:`Domain.plot` method, which provides great flexibility. +Also, keyword 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 linpy import * +>>> # define the symbols +>>> x, y, z = symbols('x y z') +>>> fig = plt.figure() +>>> cham_plot = fig.add_subplot(1, 1, 1, projection='3d', aspect='equal') +>>> cham_plot.set_title('Chamfered cube') +>>> 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, facecolor='red', alpha=0.75) +>>> pylab.show() + +.. figure:: images/cham_cube.jpg + :align: center + +LinPy 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})] + +The user also can pass another plot to the :meth:`Domain.plot` method. +This can be useful to compare two polyhedra on the same axis. +This example illustrates the union of two squares. + +>>> from linpy import * +>>> import matplotlib.pyplot as plt +>>> from matplotlib import pylab +>>> x, y = symbols('x y') +>>> square1 = Le(0, x) & Le(x, 2) & Le(0, y) & Le(y, 2) +>>> square2 = Le(1, x) & Le(x, 3) & Le(1, y) & Le(y, 3) +>>> fig = plt.figure() +>>> plot = fig.add_subplot(1, 1, 1, aspect='equal') +>>> square1.plot(plot, facecolor='red', alpha=0.3) +>>> square2.plot(plot, facecolor='blue', alpha=0.3) +>>> squares = Polyhedron(square1 + square2) +>>> squares.plot(plot, facecolor='blue', alpha=0.3) +>>> pylab.show() + +.. figure:: images/union.jpg + :align: center