Revision: 8829
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8829&view=rev
Author: jdh2358
Date: 2010-12-13 15:25:37 +0000 (Mon, 13 Dec 2010)
Log Message:
-----------
added ipython directive tut
Added Paths:
-----------
trunk/sampledoc_tut/ipython_directive.rst
Added: trunk/sampledoc_tut/ipython_directive.rst
===================================================================
--- trunk/sampledoc_tut/ipython_directive.rst (rev 0)
+++ trunk/sampledoc_tut/ipython_directive.rst 2010-12-13 15:25:37 UTC (rev
8829)
@@ -0,0 +1,264 @@
+.. _ipython_directive:
+
+=================
+Ipython Directive
+=================
+
+The ipython directive is a stateful ipython shell for embedding in
+sphinx documents. It knows about standard ipython prompts, and
+extracts the input and output lines. These prompts will be renumbered
+starting at ``1``. The inputs will be fed to an embedded ipython
+interpreter and the outputs from that interpreter will be inserted as
+well.
+
+.. ipython::
+
+ In [136]: x = 2
+
+ In [137]: x**3
+ Out[137]: 8
+
+The state from previous sessions is stored, and standard error is
+trapped. At doc build time, ipython's output and std err will be
+inserted, and prompts will be renumbered. So the prompt below should
+be renumbered in the rendered docs, and pick up where the block above
+left off.
+
+.. ipython::
+
+ In [138]: z = x*3 # x is recalled from previous block
+
+ In [139]: z
+ Out[139]: 6
+
+ In [140]: print z
+ --------> print(z)
+ 6
+
+ In [141]: q = z[) # this is a syntax error -- we trap ipy exceptions
+ ------------------------------------------------------------
+ File "<ipython console>", line 1
+ q = z[) # this is a syntax error -- we trap ipy exceptions
+ ^
+ SyntaxError: invalid syntax
+
+
+The embedded interpreter supports some limited markup. For example,
+you can put comments in your ipython sessions, which are reported
+verbatim. There are some handy "pseudo-decorators" that let you
+doctest the output. The inputs are fed to an embedded ipython
+session and the outputs from the ipython session are inserted into
+your doc. If the output in your doc and in the ipython session don't
+match on a doctest assertion, an error will be
+
+
+.. ipython::
+
+ In [1]: x = 'hello world'
+
+ # this will raise an error if the ipython output is different
+ @doctest
+ In [2]: x.upper()
+ Out[2]: 'HELLO WORLD'
+
+ # some readline features cannot be supported, so we allow
+ # "verbatim" blocks, which are dumped in verbatim except prompts
+ # are continuously numbered
+ @verbatim
+ In [3]: x.st<TAB>
+ x.startswith x.strip
+
+
+Multi-line input is supported.
+
+.. ipython::
+
+ In [130]: url = 'http://ichart.finance.yahoo.com/table.csv?s=CROX\
+ .....: &d=9&e=22&f=2009&g=d&a=1&br=8&c=2006&ignore=.csv'
+
+ In [131]: print url.split('&')
+ --------> print(url.split('&'))
+ ['http://ichart.finance.yahoo.com/table.csv?s=CROX', 'd=9', 'e=22',
+'f=2009', 'g=d', 'a=1', 'b=8', 'c=2006', 'ignore=.csv']
+
+ In [60]: import urllib
+
+
+You can do doctesting on multi-line output as well. Just be careful
+when using non-deterministic inputs like random numbers in the ipython
+directive, because your inputs are ruin through a live interpreter, so
+if you are doctesting random output you will get an error. Here we
+"seed" the random number generator for deterministic output, and we
+suppress the seed line so it doesn't show up in the rendered output
+
+.. ipython::
+
+ In [133]: import numpy.random
+
+ @suppress
+ In [134]: numpy.random.seed(2358)
+
+ @doctest
+ In [135]: np.random.rand(10,2)
+ Out[135]:
+ array([[ 0.64524308, 0.59943846],
+ [ 0.47102322, 0.8715456 ],
+ [ 0.29370834, 0.74776844],
+ [ 0.99539577, 0.1313423 ],
+ [ 0.16250302, 0.21103583],
+ [ 0.81626524, 0.1312433 ],
+ [ 0.67338089, 0.72302393],
+ [ 0.7566368 , 0.07033696],
+ [ 0.22591016, 0.77731835],
+ [ 0.0072729 , 0.34273127]])
+
+
+Another demonstration of multi-line input and output
+
+.. ipython::
+
+ In [106]: print x
+ --------> print(x)
+ jdh
+
+ In [109]: for i in range(10):
+ .....: print i
+ .....:
+ .....:
+ 0
+ 1
+ 2
+ 3
+ 4
+ 5
+ 6
+ 7
+ 8
+ 9
+
+
+Most of the "pseudo-decorators" can be used an options to ipython
+mode. For example, to setup matplotlib pylab but suppress the output,
+you can do. When using the matplotlib ``use`` directive, it should
+occur before any import of pylab. This will not show up in the
+rendered docs, but the commands will be executed in the embedded
+interpreter and subsequent line numbers will be incremented to reflect
+the inputs::
+
+
+ .. ipython::
+ :suppress:
+
+ In [144]: from pylab import *
+
+ In [145]: ion()
+
+.. ipython::
+ :suppress:
+
+ In [144]: from pylab import *
+
+ In [145]: ion()
+
+Likewise, you can set ``:doctest:`` or ``:verbatim:`` to apply these
+settings to the entire block. For example,
+
+.. ipython::
+ :verbatim:
+
+ In [9]: cd mpl/examples/
+ /home/jdhunter/mpl/examples
+
+ In [10]: pwd
+ Out[10]: '/home/jdhunter/mpl/examples'
+
+
+ In [14]: cd mpl/examples/<TAB>
+ mpl/examples/animation/ mpl/examples/misc/
+ mpl/examples/api/ mpl/examples/mplot3d/
+ mpl/examples/axes_grid/ mpl/examples/pylab_examples/
+ mpl/examples/event_handling/ mpl/examples/widgets
+
+ In [14]: cd mpl/examples/widgets/
+ /home/msierig/mpl/examples/widgets
+
+ In [15]: !wc *
+ 2 12 77 README.txt
+ 40 97 884 buttons.py
+ 26 90 712 check_buttons.py
+ 19 52 416 cursor.py
+ 180 404 4882 menu.py
+ 16 45 337 multicursor.py
+ 36 106 916 radio_buttons.py
+ 48 226 2082 rectangle_selector.py
+ 43 118 1063 slider_demo.py
+ 40 124 1088 span_selector.py
+ 450 1274 12457 total
+
+
+
+You can create one or more pyplot plots and insert them with the
+...@savefig`` decorator.
+
+.. ipython::
+
+ @savefig plot_simple.png width=4in
+ In [151]: plot([1,2,3]);
+
+ # use a semicolon to suppress the output
+ @savefig hist_simple.png width=4in
+ In [151]: hist(np.random.randn(10000), 100);
+
+In a subsequent session, we can update the current figure with some
+text, and then resave
+
+.. ipython::
+
+
+ In [151]: ylabel('number')
+
+ In [152]: title('normal distribution')
+
+ @savefig hist_with_text.png width=4in
+ In [153]: grid(True)
+
+Pseudo-Decorators
+=================
+
+Here are the supported decorators, and any optional arguments they
+take. Some of the decorators can be used as options to the entire
+block (eg ``verbatim`` and ``suppress``), and some only apply to the
+line just below them (eg ``savefig``).
+
+...@suppress
+
+ execute the ipython input block, but suppress the input and output
+ block from the rendered output. Also, can be applied to the entire
+ ``..ipython`` block as a directive option with ``:suppress:``.
+
+...@verbatim
+
+ insert the input and output block in verbatim, but auto-increment
+ the line numbers. Internally, the interpreter will be fed an empty
+ string, so it is a no-op that keeps line numbering consistent.
+ Also, can be applied to the entire ``..ipython`` block as a
+ directive option with ``:verbatim:``.
+
+...@savefig OUTFILE [IMAGE_OPTIONS]
+
+ save the figure to the static directory and insert it into the
+ document, possibly binding it into a minipage and/or putting
+ code/figure label/references to associate the code and the
+ figure. Takes args to pass to the image directive (*scale*,
+ *width*, etc can be kwargs); see `image options
+ <http://docutils.sourceforge.net/docs/ref/rst/directives.html#image>`_
+ for details.
+
+...@doctest
+
+ Compare the pasted in output in the ipython block with the output
+ generated at doc build time, and raise errors if they don’t
+ match. Also, can be applied to the entire ``..ipython`` block as a
+ directive option with ``:doctest:``.
+
+That's all folks!
This was sent by the SourceForge.net collaborative development platform, the
world's largest Open Source development site.
------------------------------------------------------------------------------
Oracle to DB2 Conversion Guide: Learn learn about native support for PL/SQL,
new data types, scalar functions, improved concurrency, built-in packages,
OCI, SQL*Plus, data movement tools, best practices and more.
http://p.sf.net/sfu/oracle-sfdev2dev
_______________________________________________
Matplotlib-checkins mailing list
Matplotlib-checkins@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins
