MLPY/Lib/site-packages/sympy/plotting/pygletplot/__init__.py

"""Plotting module that can plot 2D and 3D functions
"""

from sympy.utilities.decorator import doctest_depends_on

@doctest_depends_on(modules=('pyglet',))
def PygletPlot(*args, **kwargs):
    """

    Plot Examples
    =============

    See examples/advanced/pyglet_plotting.py for many more examples.

    >>> from sympy.plotting.pygletplot import PygletPlot as Plot
    >>> from sympy.abc import x, y, z

    >>> Plot(x*y**3-y*x**3)
    [0]: -x**3*y + x*y**3, 'mode=cartesian'

    >>> p = Plot()
    >>> p[1] = x*y
    >>> p[1].color = z, (0.4,0.4,0.9), (0.9,0.4,0.4)

    >>> p = Plot()
    >>> p[1] =  x**2+y**2
    >>> p[2] = -x**2-y**2


    Variable Intervals
    ==================

    The basic format is [var, min, max, steps], but the
    syntax is flexible and arguments left out are taken
    from the defaults for the current coordinate mode:

    >>> Plot(x**2) # implies [x,-5,5,100]
    [0]: x**2, 'mode=cartesian'

    >>> Plot(x**2, [], []) # [x,-1,1,40], [y,-1,1,40]
    [0]: x**2, 'mode=cartesian'
    >>> Plot(x**2-y**2, [100], [100]) # [x,-1,1,100], [y,-1,1,100]
    [0]: x**2 - y**2, 'mode=cartesian'
    >>> Plot(x**2, [x,-13,13,100])
    [0]: x**2, 'mode=cartesian'
    >>> Plot(x**2, [-13,13]) # [x,-13,13,100]
    [0]: x**2, 'mode=cartesian'
    >>> Plot(x**2, [x,-13,13]) # [x,-13,13,100]
    [0]: x**2, 'mode=cartesian'
    >>> Plot(1*x, [], [x], mode='cylindrical')
    ... # [unbound_theta,0,2*Pi,40], [x,-1,1,20]
    [0]: x, 'mode=cartesian'


    Coordinate Modes
    ================

    Plot supports several curvilinear coordinate modes, and
    they independent for each plotted function. You can specify
    a coordinate mode explicitly with the 'mode' named argument,
    but it can be automatically determined for Cartesian or
    parametric plots, and therefore must only be specified for
    polar, cylindrical, and spherical modes.

    Specifically, Plot(function arguments) and Plot[n] =
    (function arguments) will interpret your arguments as a
    Cartesian plot if you provide one function and a parametric
    plot if you provide two or three functions. Similarly, the
    arguments will be interpreted as a curve if one variable is
    used, and a surface if two are used.

    Supported mode names by number of variables:

    1: parametric, cartesian, polar
    2: parametric, cartesian, cylindrical = polar, spherical

    >>> Plot(1, mode='spherical')


    Calculator-like Interface
    =========================

    >>> p = Plot(visible=False)
    >>> f = x**2
    >>> p[1] = f
    >>> p[2] = f.diff(x)
    >>> p[3] = f.diff(x).diff(x)
    >>> p
    [1]: x**2, 'mode=cartesian'
    [2]: 2*x, 'mode=cartesian'
    [3]: 2, 'mode=cartesian'
    >>> p.show()
    >>> p.clear()
    >>> p
    <blank plot>
    >>> p[1] =  x**2+y**2
    >>> p[1].style = 'solid'
    >>> p[2] = -x**2-y**2
    >>> p[2].style = 'wireframe'
    >>> p[1].color = z, (0.4,0.4,0.9), (0.9,0.4,0.4)
    >>> p[1].style = 'both'
    >>> p[2].style = 'both'
    >>> p.close()


    Plot Window Keyboard Controls
    =============================

    Screen Rotation:
        X,Y axis      Arrow Keys, A,S,D,W, Numpad 4,6,8,2
        Z axis        Q,E, Numpad 7,9

    Model Rotation:
        Z axis        Z,C, Numpad 1,3

    Zoom:             R,F, PgUp,PgDn, Numpad +,-

    Reset Camera:     X, Numpad 5

    Camera Presets:
        XY            F1
        XZ            F2
        YZ            F3
        Perspective   F4

    Sensitivity Modifier: SHIFT

    Axes Toggle:
        Visible       F5
        Colors        F6

    Close Window:     ESCAPE

    =============================
    """

    from sympy.plotting.pygletplot.plot import PygletPlot
    return PygletPlot(*args, **kwargs)