--- a/embellishing_a_plot.rst Wed Sep 15 19:11:13 2010 +0530
+++ b/embellishing_a_plot.rst Wed Sep 15 19:12:12 2010 +0530
@@ -9,7 +9,8 @@
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::
+Let us start ipython with pylab loaded, by typing
+::
ipython -pylab
@@ -17,7 +18,8 @@
{{{ shit to terminal and type ipython -pylab }}}
-We shall first make a simple plot and start with decorating it.::
+We shall first make a simple plot and start with decorating it.
+::
x = linspace(-2, 4, 20)
plot(x, sin(x))
@@ -27,7 +29,8 @@
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::
+the figure and plot the same in red colour.Hence
+::
clf()
plot(x, sin(x), 'r')
@@ -35,7 +38,8 @@
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::
+command.Hence
+::
plot(x, cos(x), linewidth=2)
@@ -49,7 +53,8 @@
{{{ continue from paused state }}}
-A combination of colour and linewidth would do the job for us. Hence::
+A combination of colour and linewidth would do the job for us. Hence
+::
plot(x, sin(x), 'b', linewidth=3)
@@ -60,19 +65,22 @@
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::
+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::
+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.::
+Other available options can be seen in the documentation of plot.
+::
plot?
@@ -85,7 +93,8 @@
{{{ continue from paused state }}}
All we have to do is use a combination of linestyle and colour to acheive this.
-Hence::
+Hence
+::
clf()
plot(x, cos(x), 'go')
@@ -101,7 +110,8 @@
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.::
+Let us start with a plot of the function -x^2 + 4x - 5.
+::
plot(x, -x*x + 4*x - 5, 'r', linewidth=2)
@@ -110,7 +120,8 @@
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.::
+We will now add a title to the plot by using the =title= command.
+::
title("Parabolic function -x^2+4x-5")
@@ -126,7 +137,8 @@
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::
+for instance, we can use
+::
title("Parabolic function $-x^2+4x-5$")
@@ -142,14 +154,16 @@
{{{ continue from the paused state }}}
-The solution is to enclose the whole string in between $. Hence,::
+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)"::
+axes. Hence we shall label x-axis to "x" and y-axis to "f(x)"
+::
xlabel("x")
@@ -158,7 +172,8 @@
As you can see, =xlabel= command takes a string as argument, similar to the
=title= command and sets it to x-axis.
-Similarly,::
+Similarly,
+::
ylabel("f(x)")
@@ -173,7 +188,8 @@
{{{ continue from paused state }}}
Since we need LaTex style formatting, all we have to do is enclose the string
-in between two $. Hence,::
+in between two $. Hence,
+::
xlabel("$x$")
yalbel("$f(x)$")
@@ -184,7 +200,8 @@
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::
+like to name the point accordingly. We can do this by using
+::
annotate("local maxima", xy=(2, -1))