using-plot-interactively/script.rst
changeset 467 501383b753c1
parent 409 43a24f7ab183
--- a/using-plot-interactively/script.rst	Thu Nov 11 12:19:32 2010 +0530
+++ b/using-plot-interactively/script.rst	Thu Nov 11 13:21:10 2010 +0530
@@ -21,11 +21,10 @@
 
 Script
 -------
-
+{{{ Show the Title Slide }}} 
 
 Hello and welcome to the tutorial on creating simple plots using
 Python.This tutorial is presented by the Fossee group.  
-{{{ Show the Title Slide }}} 
 
 I hope you have IPython running on your computer.
 
@@ -52,13 +51,11 @@
 {{{ Slide with Error written on it }}}
 
 
-
-
 Then you have to install matplotlib and run this command again.
 
 Now type in your ipython shell ::
 
-             In[]: linpace?
+             linpace?
 
 
 
@@ -66,20 +63,20 @@
 calculated over the interval start and stop.  To illustrate this, lets
 do it form 1 to 100 and try 100 points.  ::
 
-           In[]: linspace(1,100,100)
+            linspace(1,100,100)
 
 As you can see a sequence of numbers from 1 to 100 appears.
 
 Now lets try 200 points between 0 and 1 you do this by typing ::
 
 
-            In[]: linspace(0,1,200)
+             linspace(0,1,200)
 
 0 for start , 1 for stop and 200 for no of points.  In linspace 
 the start and stop points can be integers, decimals , or
 constants. Let's try and get 100 points between -pi to pi. Type ::
            
-            In[]: p = linspace(-pi,pi,100)
+             p = linspace(-pi,pi,100)
 
 
 'pi' here is constant defined by pylab. Save this to the variable, p
@@ -87,17 +84,17 @@
 
 If you now ::
      
-	   In[]: len(p)
+	    len(p)
 
 You will get the no. of points. len function gives the no of elements
 of a sequence.
 
 
 Let's try and plot a cosine curve between -pi and pi using these
-points.  Simply type :: 
+points.  Simply type::
 
+	 plot(p,cos(points)) 
 
-       	  In[]: plot(p,cos(points))
 
 Here cos(points) gets the cosine value at every corresponding point to
 p.
@@ -106,15 +103,15 @@
 We can also save cos(points) to variable cosine and plot it using
 plot.::
 
-           In[]: cosine=cos(points) 
+          cosine=cos(points) 
 
-	   In[]: plot(p,cosine)
+	  plot(p,cosine)
 
  
 
 Now do ::
        	 
-	   In[]: clf()
+	  clf()
 
 this will clear the plot.
 
@@ -124,7 +121,7 @@
 plot. ::
 
 
-    	 In []: plot(p,sin(p))
+    	  plot(p,sin(p))
 
 
 
@@ -144,37 +141,57 @@
 
 
 
-{{{ Action corelating with the words }}}
+{{{ Show how to save the file  }}}
 
 As you can see I can specify format of file from the dropdown.
 
-Formats like png ,eps ,pdf, ps are available.  
+Formats like png ,eps ,pdf, ps are available.
 
-Left to the save button is the slider button to specify the margins.  
+Left to the save button is the slider button to specify the margins.
 
-{{{ Action corelating with the words  }}}
+{{{ Show how to zoom. Press zoom button and specify region to zoom }}}
 
 Left to this is zoom button to zoom into the plot. Just specify the 
 region to zoom into.  
+
+{{{ Press Move button and move the axes. }}}
+
 The button left to it can be used to move the axes of the plot.  
 
-{{{ Action corelating with the words }}}
+{{{ Press Back and Forward Button }}}
  
 The next two buttons with a left and right arrow icons change the state of the 
 plot and take it to the previous state it was in. It more or less acts like a
 back and forward button in the browser.  
 
-{{{ Action corelating with the words }}}
+{{{ Press home button }}}
 
 The last one is 'home' referring to the initial plot.
 
-{{{ Action corelating with the words}}}
+
+
+
+Following is an  exercise that you must do. 
+
+%% %% Plot (sin(x)*sin(x))/x .
+      1. Save the plot by the sinsquarebyx.pdf in pdf format.
+      2. Zoom and find the maxima.
+
+      3. Bring it back to initial position.
+
+
+Please, pause the video here. Do the exercise and then continue. 
+
+
+
+
+
+
 
 
 
 {{{ Summary Slide }}}
 
-
 In this tutorial we have looked at 
 
 1. Starting Ipython with pylab 
@@ -190,10 +207,7 @@
 5. Using the UI of plot for studying it better . Using functionalities like save , zoom and moving the plots on x and y axis 
 
 
- 
-
-
-{{{ Show the "sponsored by FOSSEE" slide }}}
+ {{{ Show the "sponsored by FOSSEE" slide }}}