st-scripts: comparison other-type-of-plots/script.rst

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-:1a73dddb1d05
+:0a0a91fb3a0d
 .. 2.4 LO: other types of plots (3) [anoop]
 .. -----------------------------------------
 .. * scatter
 .. * pie chart
 .. * bar chart
-.. * log
+.. * loglog
 .. * illustration of other plots, matplotlib help
 ===================
 Other type of plots
 ===================
 Hello and welcome to the tutorial other type of plots.
 {{{ show the outline slide }}}
 In this tutorial we will cover scatter plot, pie chart, bar chart and
-log plot. We will also see few other plots and also introduce you to
+loglog plot. We will also see few other plots and also introduce you to
 the matplotlib help.
 Let us start with scatter plot.
-{{{ switch to the next slide }}}
+{{{ switch to the next slide, scatter plot }}}
 In a scatter plot, the data is displayed as a collection of points,
 each having the value of one variable determining the position on the
 horizontal axis and the value of the other variable determining the
 position on the vertical axis. This kind of plot is also called a
 profit percentages.
 {{{ close the file and switch to the terminal }}}
 To produce the scatter plot first we need to load the data from the
-file using ``loadtxt``. We learned in one of the previous sessions,
+file using ``loadtxt``. We learned it in one of the previous sessions,
 and it can be done as ::
 year,profit =
 loadtxt('/home/fossee/other-plot/company-a-data.txt',dtype=type(int()))
+{{{ switch to next slide, ``scatter`` function }}}
 Now in-order to generate the scatter graph we will use the function
 ``scatter()``
 ::
 {{{ switch to the next slide which has the problem statement of
 problem to be tried out }}}
 Now here is a question for you to try out, plot the same data with red
-diamonds.
+diamonds markers.
-**Clue** - *try scatter? in your ipython interpreter*
+.. **Clue** - *try scatter? in your ipython interpreter*
+Pause here and solve the question before moving on.
 .. scatter(year,profit,color='r',marker='d')
 Now let us move on to pie chart.
 Plot a pie chart representing the profit percentage of company A, with
 the same data from file ``company-a-data.txt``. So let us reuse the
 data we have loaded from the file previously.
+{{{ switch to next slide, ``pie()`` function }}}
 We can plot the pie chart using the function ``pie()``.
 ::
 pie(profit,labels=year)
 Now here is a question for you to try out, plot a pie chart with the
 same data with colors for each wedges as white, red, black, magenta,
 yellow, blue, green, cyan, yellow, magenta and blue respectively.
-**Clue** - *try pie? in your ipython interpreter*
+.. **Clue** - *try pie? in your ipython interpreter*
+Pause here and solve the question before moving on.
 .. pie(t,labels=s,colors=('w','r','k','m','y','b','g','c','y','m','b'))
 {{{ switch to the slide which says about bar chart }}}
 Now let us move on to bar chart. A bar chart or bar graph is a chart
 with rectangular bars with lengths proportional to the values that
 they represent.
-{{{ switch to the slide showing the problem statement of third
+{{{ switch to the slide showing the problem statement of fifth
 exercise question }}}
 Plot a bar chart representing the profit percentage of company A, with
 the same data from file ``company-a-data.txt``.
 So let us reuse the data we have loaded from the file previously.
+{{{ switch to the next slide, ``bar()`` function }}}
 We can plot the bar chart using the function ``bar()``.
 ::
 bar(year,profit)
 {{{ switch to the next slide which has the problem statement of
 problem to be tried out }}}
 Now here is a question for you to try, plot a bar chart which is not
 filled and which is hatched with 45\ :sup:`o` slanting lines as shown
-in the image in the slide.
+in the image in the slide. The data for the chart may be obtained from
+the file ``company-a-data.txt``.
-**Clue** - *try bar? in your ipython interpreter*
+.. **Clue** - *try bar? in your ipython interpreter*
 .. bar(year,profit,fill=False,hatch='/')
-{{{ switch to the slide which says about bar chart }}}
+{{{ switch to the slide which says about log-log graph }}}
 Now let us move on to log-log plot. A log-log graph or log-log plot is
 a two-dimensional graph of numerical data that uses logarithmic scales
 on both the horizontal and vertical axes. Because of the nonlinear
 scaling of the axes, a function of the form y = ax\ :sup:`b` will
 ::
 x = linspace(1,20,100)
 y = 5*x**3
+{{{ switch to next slide, ``loglog()`` function }}}
 Now we can plot the log-log chart using ``loglog()`` function,
 ::
 loglog(x,y)
 More plots can be seen at
 matplotlib.sourceforge.net/users/screenshots.html and also at
 matplotlib.sourceforge.net/gallery.html
-{{{ switch to recap slide }}}
+{{{ switch to summary slide }}}
 Now we have come to the end of this tutorial. We have covered scatter
 plot, pie chart, bar chart, log-log plot and also saw few other plots
 and covered how to access the matplotlib online help.

changeset 308	0a0a91fb3a0d
parent 288	a3b98b4c371e
child 319	e8c02b3c51ac