author  Nishanth <nishanth@fossee.in> 
Tue, 12 Oct 2010 10:32:34 +0530  
changeset 328  9ab73cbdd5a8 
parent 273  1639ef25a231 
child 494  0699be0d562d 
permissions  rwrr 
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.. Objectives 
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..  
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Slides for embellishing a plot LO.
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.. By the end of this tutorial you will be able to 
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.. * Modify the attributes of the plot  color, line style, linewidth 
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.. * Add a title to the plot with embedded LaTeX. 
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.. * Label x and y axes. 
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.. * Add annotations to the plot. 
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.. * Set and Get the limits of axes. 
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.. Prerequisites 
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..  
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.. 1. Using the ``plot`` command interactively 
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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> [20101005] 
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Script 
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Hello friends and welcome to the tutorial on Embellishing Plots. 
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{{{ Show the slide containing title }}} 
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{{{ Show the slide containing the outline }}} 
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In this tutorial, we shall look at how to modify the colour, thickness and 
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linestyle of the plot. We shall then learn how to add title to the plot and 
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then look at adding labels to x and y axes. we shall also look at adding 
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annotations to the plot and setting the limits of axes. 
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Let us start ipython with pylab loaded, by typing on the terminal 
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{{{ shift to terminal and type ipython pylab }}} 
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:: 
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ipython pylab 
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.. #[madhu: I feel the instructions should precede the actual action, 
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since while recording we need to know before hand what we need to do] 
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We shall first make a simple plot and start decorating it. 
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.. #[madhu: start decorating it should be fine, with is not necessary] 
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:: 
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x = linspace(2, 4, 20) 
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plot(x, sin(x)) 
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.. #[madhu: Standard is to choose between 50 to 50 or 0 to 50 with 100 
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points right?] 
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As we can see, the default colour and the default thickness of the 
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line is as decided by pylab. Wouldn't be nice if we could control 
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these parameters in the plot? This is possible by passing additional 
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arguments to the plot command. 
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.. #[[Anoop: I think it will be good to rephrase the sentence]] 
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.. #[madhu: Why "you" here? Shouldn't this be "we" as decided? Also I 
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added "the default" check the diff] 
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The additional argument that we shall be passing in here now is the 
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colour argument. We shall first clear the figure and plot the same in 
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red colour. Hence 
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.. #[Madhu: Note the diff for changes] 
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:: 
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clf() 
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plot(x, sin(x), 'r') 
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As we can see we have the same plot but now in red colour. 
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.. #[Madhu: diff again] 
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To alter the thickness of the line, we use the ``linewidth`` argument in the plot 
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command. Hence 
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:: 
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plot(x, cos(x), linewidth=2) 
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produces a plot with a thicker line, to be more precise plot with line 
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thickness 2. 
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.. #[[Anoop: I guess it will be good if you say that it affects the 
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same plot, as you have not cleared the figure]] 
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.. #[Madhu: To Anoop, not necessary I feel since they can see it?] 
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{{{ Show the plot and compare the sine and cos plots }}} 
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{{{ Pause here and try out the following exercises }}} 
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.. #[[Anoop: is the above a context switch for the person who does the 
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recording, other wise if it an instruction to the person viewing 
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the video, then I guess the three braces can be removed.]] 
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%% 1 %% Plot sin(x) in blue colour and with linewidth as 3 
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{{{ continue from paused state }}} 
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A combination of colour and linewidth would do the job for us. Hence 
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:: 
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clf() 
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plot(x, sin(x), 'b', linewidth=3) 
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.. #[[Anoop: add clf()]] 
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produces the required plot 
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.. #[Nishanth]: I could not think of a SIMPLE recipe approach for 
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introducing linestyle. Hence the naive approach. 
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.. #[[Anoop: I guess the recipe is fine, but would be better if you 
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add the problem statement rather than just saying "let's do a simple 
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plot"]] 
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.. #[Madhu: It is good enough.] 
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Occasionally we would also want to alter the style of line. Sometimes 
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all we want is just a bunch of points not joined. This is possible by 
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passing the linestyle argument along with or instead of the colour 
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argument. Hence :: 
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clf() 
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plot(x, sin(x), '.') 
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produces a plot with only points. 
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To produce the same plot but now in blue colour, we do 
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:: 
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clf() 
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plot(x, sin(x), 'b.') 
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Other available options can be seen in the documentation of plot. 
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:: 
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plot? 
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{{{ Run through the documentation and show the options available }}} 
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{{{ Show the options available for line style and colors }}} 
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.. #[Madhu: The script needs to tell what needs to be shown or 
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explained.] 
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{{{ Pause here and try out the following exercises }}} 
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.. #[[Anoop: same question as above, should it be read out?]] 
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%% 2 %% Plot the sine curve with green filled circles. 
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{{{ continue from paused state }}} 
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All we have to do is use a combination of linestyle and colour to acheive this. 
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Hence 
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:: 
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clf() 
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plot(x, cos(x), 'go') 
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produces the required plot. 
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{{{ Pause here and try out the following exercises }}} 
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%% 3 %% Plot the curve of x vs tan(x) in red dashed line and linewidth 3 
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{{{ continue from paused state }}} 
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.. #[Madhu: I did not understand the question] 
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:: 
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clf() 
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plot(x, cos(x), 'r') 
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Now that we know how to produce a bare minimum plot with colour, style 
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and thickness of our interest, we shall look at decorating the plot. 
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Let us start with a plot of the function x^2 + 4x  5. 
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:: 
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plot(x, x*x + 4*x  5, 'r', linewidth=2) 
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{{{ Show the plot window and switch back to terminal }}} 
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We now have the plot in a colour and linewidth of our interest. As you 
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can see, the figure does not have any description describing the plot. 
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.. #[Madhu: Added "not". See the diff] 
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We will now add a title to the plot by using the ``title`` command. 
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:: 
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title("Parabolic function x^2+4x5") 
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{{{ Show the plot window and point to the title }}} 
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The figure now has a title which describes what the plot is. The 
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``title`` command as you can see, takes a string as an argument and sets 
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the title accordingly. 
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.. #[Madhu: See the diff] 
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The formatting in title is messed and it does not look clean. You can imagine 
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what would be the situation if there were fractions and more complex functions 
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like log and exp. Wouldn't it be good if there was LaTeX like formatting? 
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That is also possible by adding a $ sign before and after the part of the 
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string that should be in LaTeX style. 
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for instance, we can use 
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:: 
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title("Parabolic function $x^2+4x5$") 
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and we get the polynomial formatted properly. 
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.. #[Nishanth]: Unsure if I have to give this exercise since enclosing the whole 
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string in LaTeX style is not good 
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.. #[[Anoop: I guess you can go ahead with the LaTeX thing, it's 
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cool!]] 
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.. #[Madhu: Instead of saying LaTeX style you can say Typeset math 
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since that is how it is called as. I am not sure as well. It 
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doesn't really solve the purpose] 
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{{{ Pause here and try out the following exercises }}} 
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%% 4 %% Change the title of the figure such that the whole title is formatted 
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in LaTeX style 
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{{{ continue from the paused state }}} 
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The solution is to enclose the whole string in between $. Hence, 
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:: 
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title("$Parabolic function x^2+4x5$") 
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gives a title that looks neatly formatted. 
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Although we have title, the plot is not complete without labelling x 
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and y axes. Hence we shall label xaxis to "x" and yaxis to "f(x)" :: 
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xlabel("x") 
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{{{ Switch to plot window and show the xlabel }}} 
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As you can see, ``xlabel`` command takes a string as an argument, 
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similar to the ``title`` command and sets it as the label to xaxis. 
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.. #[See the diff] 
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Similarly, 
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:: 
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ylabel("f(x)") 
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sets the name of the yaxis as "f(x)" 
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{{{ Show the plot window and point to ylabel and switch back to the terminal }}} 
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{{{ Pause here and try out the following exercises }}} 
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%% 5 %% Set the x and y labels as "x" and "f(x)" in LaTeX style. 
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{{{ continue from paused state }}} 
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Since we need LaTeX style formatting, all we have to do is enclose the string 
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in between two $. Hence, 
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:: 
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xlabel("$x$") 
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yalbel("$f(x)$") 
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does the job for us. 
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{{{ Show the plot window with clean labels }}} 
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The plot is now almost complete. Except that we have still not seen how to 
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name the points. For example the point (2, 1) is the local maxima. We would 
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like to name the point accordingly. We can do this by using 
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:: 
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annotate("local maxima", xy=(2, 1)) 
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{{{ Show the annotation that has appeared on the plot }}} 
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As you can see, the first argument to ``annotate`` command is the name we would 
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like to mark the point as and the second argument is the coordinates of the 
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point at which the name should appear. It is a sequence containing two numbers. 
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The first is x coordinate and second is y coordinate. 
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.. #[[Anoop: I think we should tell explicitely that xy takes a 
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sequence or a tuple]] 
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.. #[Madhu: Agreed to what anoop says and also that xy= is the point 
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part should be rephrased I think.] 
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{{{ Pause here and try out the following exercises }}} 
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%% 6 %% Make an annotation called "root" at the point (4, 0) 
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What happens to the first annotation ? 
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{{{ continue from paused state }}} 
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:: 
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annotate("root", xy=(4,0)) 
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235
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As we can see, every annotate command makes a new annotation on the figure. 
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Now we have everything we need to decorate a plot. but the plot would be 
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incomplete if we can not set the limits of axes. This is possible using the 
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button on the plot window. 
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we shall look at how to get and set them from the script. 
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:: 
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xlim() 
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ylim() 
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We see that ``xlim`` function returns the current x axis limits and ylim 
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function returns the current yaxis limits. 
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Let us look at how to set the limits. 
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:: 
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xlim(4, 5) 
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We see the limits of xaxis are now set to 4 and 5. 
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Similarly 
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:: 
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ylim(15, 2) 
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sets the limits of yaxis appropriately. 
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{{{ Pause here and try out the following exercises }}} 
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%% 7 %% Set the limits of axes such that the area of interest is the rectangle 
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(1, 15) and (3, 0) 
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{{{ continue from paused state }}} 
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As we can see, the lower upper limits of xaxis in the question are 1 and 3. 
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The limits of yaxis are 15 and 0. 
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:: 
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xlim(1, 3) 
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ylim(15, 0) 
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Gives us the required rectangle. 
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{{{ Show summary slide }}} 
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we have looked at 
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* Modifying the attributes of plot by passing additional arguments 
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* How to add title 
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* How to incorporate LaTeX style formatting 
235
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* How to label x and y axes 
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* How to add annotations 
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* How to set the limits of axes 
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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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381 
Thankyou 
80e4016d747a
Converted the embellishing_a_plot to new template form
Nishanth <nishanth@fossee.in>
parents:
diff
changeset

382 

80e4016d747a
Converted the embellishing_a_plot to new template form
Nishanth <nishanth@fossee.in>
parents:
diff
changeset

383 