plotting_using_sage/script.rst
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.. Objectives
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.. ----------
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.. By the end of this tutorial you will be able to 
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..  * Use SAGE for 2D plotting
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..  * Use SAGE for 3D plotting
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.. Prerequisites
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.. -------------
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..   1. Getting started with lists
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.. Author              : Nishanth Amuluru
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   Internal Reviewer   : 
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   External Reviewer   :
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   Checklist OK?       : <put date stamp here, if OK> [2010-10-05]
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Script
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------
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Hello friends, welcome to the tutorial on "Plotting using SAGE".
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{{{ Show the outline slide }}}
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In this tutorial we shall look at 
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 * 2D plotting in SAGE
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 * 3D plotting in SAGE
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We shall first create a symbolic variable ``x``
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::
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    x = var('x')
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We shall plot the function ``sin(x) - cos(x) ^ 2`` in the range (-5, 5).
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::
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    plot(sin(x) - cos(x) ^ 2, (x, -5, 5))
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As we can see, the plot is shown.
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``plot`` command takes the symbolic function as the first argument and the
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range as the second argument.
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{{{ Pause here and try out the following exercises }}}
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%% 1 %% Define a variable ``y`` and plot the function ``y^2 + 5y - 7`` in the
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        range (-3, 3)
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{{{ continue from paused state }}}
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::
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    y = var('y')
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    plot(y^2 + 5*y -7, (y, -3, 3))
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We have seen that plot command plots the given function on a linear range.
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What if the x and y values are functions of another variable.
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For instance, lets plot the trajectory of a projectile.
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A projectile was thrown at 50 m/s^2 and at an angle of 45 degrees from the 
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ground. We shall plot the trajectory of the particle for 5 seconds.
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These types of plots can be drawn using the parametric_plot function.
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We first define the time variable.
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::
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    t = var('t')
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Then we define the x and y as functions of t.
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::
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    f_x = 50 * cos(pi/4)
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    f_y = 50 * sin(pi/4) * t - 1/2 * 9.81 * t^2 )
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We then call the ``parametric_plot`` function as
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::
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    parametric_plot((f_x, f_y), (t, 0, 5))
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And we can see the trajectory of the projectile.
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The ``parametric_plot`` funciton takes a tuple of two functions as the first
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argument and the range over which the independent variable varies as the second
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argument.
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{{{ Pause here and try out the following exercises }}}
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%% 2 %% A particle is thrown into the air at 10 m/s^2 and at angle of 60 degrees
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        from the top of a 100 m tower. Plot the trajectory of the particle.
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{{{ continue from paused state }}}
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::
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    t = var('t')
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    f_x = 10 * cos(pi/3) * t
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    f_y = 100 + 10 * sin(pi/3) * t - 1/2 * 9.81 * t^2
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    parametric_plot((f_x, f_y), (t,0,5))
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Now we shall look at how to plot a set of points.
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We have the ``line`` function to acheive this.
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We shall plot sin(x) at few points and join them.
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First we need the set of points.
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::
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    points = [ (x, sin(x)) for x in srange(-2*float(pi), 2*float(pi), 0.75) ]
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``srange`` takes a start, a stop and a step argument and returns a list of
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point. We generate list of tuples in which the first value is ``x`` and second
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is ``sin(x)``.
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::
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    line(points)
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plots the points and joins them with a line.
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{{{ Pause here and try out the following exercises }}}
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%% 3 %% Plot the cosine function using line function.
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{{{ continue from paused state }}}
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::
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    points = [ (x, cos(x)) for x in srange(-2*float(pi), 2*float(pi), 0.75) ]
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    line(points)
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The ``line`` function behaves like the plot command in matplotlib. The
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difference is that ``plot`` command takes two sequences while line command
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expects a sequence of co-ordinates.
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As we can see, the axes limits are set by SAGE. Often we would want to set them
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ourselves. Moreover, the plot is shown here since the last command that is
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executed produces a plot. 
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Let us try this example
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::
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    plot(cos(x), (x,0,2*pi))
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    # Does the plot show up??
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As we can see here, the plot is not shown since the last command does not
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produce a plot.
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The actual way of showing a plot is to use the ``show`` command.
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::
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    p1 = plot(cos(x), (x,0,2*pi))
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    show(p1)
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    # What happens now??
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As we can see the plot is shown since we used it with ``show`` command.
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``show`` command is also used set the axes limits.
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::
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    p1 = plot(cos(x), (x,0,2*pi))
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    show(p1, xmin=0, xmax=2*pi, ymin=-1.2, ymax=1.2)
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As we can see, we just have to pass the right keyword arguments to the ``show``
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command to set the axes limits.
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{{{ Pause here and try out the following exercises }}}
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%% 4 %% Plot the cosine function in the range (-2pi, 2pi) and set the x-axis
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        limits to (-5, 5) and y-axis limits to (-2, 2) respectively.
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{{{ continue from paused state }}}
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::
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    p1 = plot(cos(x), (x, 0, 2*pi))
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    show(p1, xmin=-5, xmax=5, ymin=-2, ymax=2)
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The ``show`` command can also be used to show multiple plots.
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::
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    p1 = plot(cos(x), (x, 0, 2*pi))
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    p2 = plot(sin(x), (x, 0, 2*pi))
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    show(p1+p2)
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As we can see, we can add the plots and use them in the ``show`` command.
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{{{ Pause here and try out the following exercises }}}
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%% 5 %% Plot sin(x) and sin(2*x) in the range (0, 2pi)
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{{{ continue from paused state }}}
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::
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    p1 = plot(sin(x), (x, 0, 2*pi))
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    p2 = plot(sin(2*x), (x, 0, 2*pi))
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    show(p1+p2)
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Now we shall look at 3D plotting in SAGE.
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We have the ``plot3d`` function that takes a function in terms of two 
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independent variables and the range over which they vary.
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::
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    x, y = var('x y')
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    plot3d(x^2 + y^2, (x, 0, 2), (y, 0, 2))
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We get a 3D plot which can be rotated and zoomed using the mouse.
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{{{ Pause here and try out the following exercises }}}
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%% 6 %% Plot the function sin(x)^2 + cos(y)^2 for x in range (0,2) and y in
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        range (-2, 2)
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{{{ continue from paused state }}}
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::
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    x, y = var("x y")
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    plot3d( sin(x)^2 + cos(y)^2, (x, 0, 2), (y, -2, 2))
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``parametric_plot3d`` function plots the surface in which x, y and z are
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functions of another variable.
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::
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   u, v = var("u v")
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   f_x = u
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   f_y = v
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   f_z = u^2 + v^2
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   parametric_plot3d((f_x, f_y, f_z), (u, 0, 2), (v, 0, 2))
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{{{ Show summary slide }}}
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This brings us to the end of the tutorial.
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we have learnt
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 * How to draw 2D plots using plot comand
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 * How to use the parametric_plot and line functions
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 * How to use show command for multiple plots and setting axes limits
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 * How to draw 3D plots
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{{{ Show the "sponsored by FOSSEE" slide }}}
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#[Nishanth]: Will add this line after all of us fix on one.
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This tutorial was created as a part of FOSSEE project, NME ICT, MHRD India
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Hope you have enjoyed and found it useful.
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Thankyou
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