Hello friends and welcome to the tutorial on Embellishing Plots
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In this tutorial, we shall look at how to modify the colour, thickness and
linestyle of the plot. We shall then learn how to add title to the plot and
then look at adding labels to x and y axes. we shall also look at adding
annotations to the plot.
Let us start ipython with pylab loaded, by typing::
ipython -pylab
on the terminal
{{{ shit to terminal and type ipython -pylab }}}
We shall first make a simple plot and start with decorating it.::
x = linspace(-2, 4, 20)
plot(x, sin(x))
As you can see, the colour and thickness of line as decided by pylab. It would
be nice if we could control these parameters in the plot. This is possible by
passing additional arguments to the plot command.
The second argument that we shall be passing is colour. We shall first clear
the figure and plot the same in red colour.Hence::
clf()
plot(x, sin(x), 'r')
Plots the same curve but now in red colour.
To alter the thickness of the line, we use the =linewidth= argument in the plot
command.Hence::
plot(x, cos(x), linewidth=2)
produces a plot with a thicker line.
{{{ Show the plot and compare the sin and cos plots }}}
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%% 1 %% Plot sin(x) in blue colour and with linewidth as 3
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A combination of colour and linewidth would do the job for us. Hence::
plot(x, sin(x), 'b', linewidth=3)
produces the required plot
#[Nishanth]: I could not think of a SIMPLE recipe approach for introducing
linestyle. Hence the naive approach.
Occasionally we would also want to alter the style of line. Sometimes all we
want is just a bunch of points not joined. This is possible by passing the
linestyle argument along with or instead of the colour argument.Hence::
clf()
plot(x, sin(x), '.')
produces a plot with only points.
To produce the same plot but now in blue colour, we do::
clf()
plot(x, sin(x), 'b.')
Other available options can be seen in the documentation of plot.::
plot?
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%% 2 %% Plot the sine curve with green filled circles.
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All we have to do is use a combination of linestyle and colour to acheive this.
Hence::
clf()
plot(x, cos(x), 'go')
produces the required plot.
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%% 3 %% Produce a plot of tangent curve with red dashed line and linewidth 3
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Now that we know how to produce a bare minimum plot with colour, style and
thickness of our interest, we shall look at decorating the plot.
Let us start with a plot of the function -x^2 + 4x - 5.::
plot(x, -x*x + 4*x - 5, 'r', linewidth=2)
{{{ Show the plot window and switch back to terminal }}}
We now have the plot in a colour and linewidth of our interest. As you can see,
the figure does have any description describing the plot.
We will now add a title to the plot by using the =title= command.::
title("Parabolic function -x^2+4x-5")
{{{ Show the plot window and point to the title }}}
The figure now has a title which describes what the plot is.
The =title= command as you can see, takes a string as argument and set the
title accordingly.
The formatting in title is messed and it does not look clean. You can imagine
what would be the situation if there were fractions and more complex functions
like log and exp. Wouldn't it be good if there was LaTex like formatting.
That is also possible by adding a $ sign before and after the part of the
string that should be LaTex style.
for instance, we can use::
title("Parabolic function $-x^2+4x-5$")
and we get the polynomial formatted properly.
{{{ Pause here and try out the following exercises }}}
%% 4 %% Change the title of the figure such that the whole title is formatted
in LaTex style
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The solution is to enclose the whole string in between $. Hence,::
title("$Parabolic function -x^2+4x-5$")
gives a title that looks neatly formatted.
Although we have title, the plot is not complete without labelling x and y
axes. Hence we shall label x-axis to "x" and y-axis to "f(x)"::
xlabel("x")
{{{ Switch to plot window and show the xlabel }}}
As you can see, =xlabel= command takes a string as argument, similar to the
=title= command and sets it to x-axis.
Similarly,::
ylabel("f(x)")
sets the name of y-axis as "f(x)"
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%% 5 %% Set the x and y labels as "x" and "f(x)" in LaTex style.
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Since we need LaTex style formatting, all we have to do is enclose the string
in between two $. Hence,::
xlabel("$x$")
yalbel("$f(x)$")
does the job for us.
{{{ Show the plot window with clean labels }}}
The plot is now almost complete. Except that we have still not seen how to
name the points. For example the point (2, -1) is the local maxima. We would
like to name the point accordingly. We can do this by using::
annotate("local maxima", xy=(2, -1))
{{{ Show the annotation that has appeared on the plot }}}
As you can see, the first argument to =annotate= command is the name we would
like to mark the point as and the argument after xy= is the point at which the
name should appear.
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%% 6 %% Make an annotation called "root" at the point (-4, 0)
What happens to the first annotation ?
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As we can see, every annotate command makes a new annotation on the figure.
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we have looked at
* Modifying the attributes of plot by passing additional arguments
* How to add title
* How to incorporate LaTex style formatting
* How to label x and y axes
* How to add annotations
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#[Nishanth]: Will add this line after all of us fix on one.
This tutorial was created as a part of FOSSEE project, NME ICT, MHRD India
Hope you have enjoyed and found it useful.
Thankyou
.. Author : Nishanth
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