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From: <jd...@us...> - 2007年12月02日 17:27:45
Revision: 4547
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4547&view=rev
Author: jdh2358
Date: 2007年12月02日 09:27:41 -0800 (2007年12月02日)
Log Message:
-----------
added requirements and rest doc
Added Paths:
-----------
 trunk/py4science/doc/requirements.txt
Added: trunk/py4science/doc/requirements.txt
===================================================================
--- trunk/py4science/doc/requirements.txt	 (rev 0)
+++ trunk/py4science/doc/requirements.txt	2007年12月02日 17:27:41 UTC (rev 4547)
@@ -0,0 +1,160 @@
+Core requirements
+=================
+
+The four python packages you will need for this course are
+
+ - ipython: an interactive python shell http://ipython.scipy.org
+
+ - numpy: high performance numerical arrays http://numpy.scipy.org
+
+ - scipy: algorithms and numerics http://scipy.org
+
+ - matplotlib: plotting http://matplotlib.sf.net
+
+With these four packages, you will be able to do about 90% of the
+exercises in the course. In addition, to generate plot windows,
+matplotlib requires a user interface toolkit, for example Tk, GTK,
+wxPython or Qt. Tk comes with python, so that should work out of the
+box, but some of the other code we will be demoing work best with
+wxPython, so we also recommend you install wxPython
+(http://www.wxpython.org/)
+
+We will detail the optional packages that will be used in the workshop
+below. It will be great if you can get all the optional packages as
+well, but since most of the workshop depends on these four
+requirements, make sure you have these four installed, configured and
+tested before turning to the optional packages.
+
+For those of you who do not succeed in getting a machine properly
+configured with the packages above, we will be providing an X11 server
+that you can log into to work on the exercises remotely. If your
+machine supports ssh with X11 forwarding, you will be in good shape.
+If not, we will provide ubuntu boot CDs so you can reboot into linux
+and then ssh into the x11 server to run the exercises.
+
+
+Basic configuration
+===================
+
+You need to configure matplotlib to work with the user interface you
+have selected. The configuration file is called matplotlibrc and it
+is installed in site-packages/matplotlib/mpl-data/matplotlibrc along
+with the rest of your matplotlib install. Create a directory in your
+home directory called .matplotlib and copy this file into it (or
+simply edit in place in mpl-data) and change the line that starts with
+'backend' to
+
+ backend : WXAgg
+
+for use with wxpython.
+
+Testing
+=======
+
+If you can execute the following commands w/o error, and have a plot
+window pop up, you have an installation that will work for 90% of the
+exercises in the workshop
+
+ > ipython -pylab
+ Python 2.5 (r25:51918, Sep 19 2006, 08:49:13)
+ Type "copyright", "credits" or "license" for more information.
+
+ IPython 0.8.3.svn.r2876 -- An enhanced Interactive Python.
+
+ In [1]: import numpy
+
+ In [2]: import scipy
+
+ In [3]: plot([1,2,3])
+ Out[3]: [<matplotlib.lines.Line2D instance at 0x4c9ae40>]
+
+Checking your versions
+======================
+
+It helps to have the most recent packages for the workshop. We are
+recommending at least the following
+
+ - ipython >= 0.7.0
+
+ - numpy >= 1.01
+
+ - matplotlib >= 0.90.0
+
+ - scipy >= 0.5.2
+
+The example code below shows you how to check your versions:
+
+ In [4]: import numpy
+
+ In [5]: numpy.__version__
+ Out[5]: '1.0.4.dev4380'
+
+ In [6]: import scipy
+
+ In [7]: scipy.__version__
+ Out[7]: '0.7.0.dev3494'
+
+ In [8]: import IPython
+
+ In [9]: IPython.__version__
+ Out[9]: '0.8.3.svn.r2876'
+
+ In [10]: import matplotlib
+
+ In [11]: matplotlib.__version__
+ Out[11]: '0.91.1'
+
+Platform specific instructions
+==============================
+
+linux
+
+os x
+
+win32
+
+Optional packages
+=================
+
+We will be doing demos and exercises with a nmber of additional
+packages, which we will describe briefly below. Because there are so
+many variations in operating systems and platforms, we will not
+attempt to provide details so consult the web sites and other
+resources if there is a package you are particularly interested in and
+want to make sure you are configured properly to do an exercise on
+your own machine. We will be providing a properly configured server,
+so even if you do not have each of these packages installed, as long
+as your machine supports remote login with X11 forwarding to our
+server, you can long in to do the exercises if you are missing a
+package on your local machine.
+
+
+- pytables : a package for managing large datasets efficiently
+ http://www.pytables.org/moin (also requires hdf5)
+
+- pydap : a python implementation of the Data Access Protocol
+ (DAP). http://pydap.org.
+
+- enthought tool suite (ETS) : provides traits, a package for strong
+ typing in python that also facilitates automatic user interface
+ generation and more. Also provides tvtk and mayavi2 for 3D
+ visualization. http://code.enthought.com/ets/
+
+- weave : a package for inlining C and C++ in your python code. Comes
+ with scipy but requires a working compiler suite (eg gcc and g++)
+
+- f2py : comes with scipy but requires a working fortran compiler. See
+ http://scipy.org/Installing_SciPy for platform specific instructions
+
+- pyrex : lets you mix c and python for writing high performance
+ python extensions
+ http://www.cosc.canterbury.ac.nz/greg.ewing/python/Pyrex/
+
+- basemap : a matplotlib toolkit for workin with geographic data and
+ map projections. Available for download at the matplotlib downloa
+ page
+ http://sourceforge.net/project/platformdownload.php?group_id=80706
+ with documentation at
+ http://matplotlib.sourceforge.net/matplotlib.toolkits.basemap.basemap.html
+
+
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
From: <jd...@us...> - 2007年12月02日 17:27:34
Revision: 4546
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4546&view=rev
Author: jdh2358
Date: 2007年12月02日 09:27:27 -0800 (2007年12月02日)
Log Message:
-----------
added requirements and rest doc
Added Paths:
-----------
 trunk/py4science/doc/rest_basics.txt
Added: trunk/py4science/doc/rest_basics.txt
===================================================================
--- trunk/py4science/doc/rest_basics.txt	 (rev 0)
+++ trunk/py4science/doc/rest_basics.txt	2007年12月02日 17:27:27 UTC (rev 4546)
@@ -0,0 +1,172 @@
+=================================
+ reST (reSTructured Text) basics
+=================================k
+.. Author: Fernando Perez
+.. Contact: Fer...@co...
+.. Time-stamp: "2007-08-29 15:50:06 fperez"
+
+.. contents::
+..
+ 1 What is reST?
+ 2 Markup summary
+ 3 Emacs cheat sheet
+ 4 Tests
+ 5 Things I don't like
+
+
+What is reST?
+=============
+
+It's a simple text markup format which can be converted easily into other
+formats (html, latex, pdf) while being easily readable in its plaintext
+version. This document is a little example of reST basics for my own
+reference.
+
+As shown above, it's good practice to start any reST document with a title and
+simple metadata. The two leading dots indicate a comment or special markup
+directive in reST. The time stamp can be updated with the emacs command
+``time-stamp`` (these two back-quotes mean 'inline literal', which is normally
+rendered as monospace font).
+
+The metadata above was enclosed inside comment fields, so it won't be visible
+in the generated document. You can instead use reST fields if you want these
+values to be automatically formatted in produced documents:
+
+:Author: Fernando Perez
+:Contact: Fer...@co...
+:Date: January 4, 2007
+
+The table of contents is auto-updated by Emacs with 'C-c p u', and it is also
+rendered in HTML by the rst2html compiler. This can be invoked from Emacs via
+the ``rst-compile`` command. Additionally, Emacs makes each entry in the TOC
+an internal clickable link, which is great for navigation.
+
+This_ link is a quick reference to the reST markup (links are made by an
+underscore at the end of the word, and the same word following shortly with the
+underscore preceding it instead, and its target indicated after a colon).
+
+.. _This: http://docutils.sourceforge.net/docs/user/rst/quickref.html
+
+Making websites: look at http://www.voidspace.org.uk/python/rest2web
+
+
+Markup summary
+==============
+
+These are taken from the quickref mentioned above, and are just a small subset
+of the more common markup options. See that document for more details.
+
+- *emphasis*: Normally rendered as italics.
+
+- **strong emphasis**: Normally rendered as boldface.
+
+- ``inline literal``: Normally rendered as monospaced text. Spaces should be
+ preserved, but line breaks will not be. For multiline literal blocks, use
+ ``::`` preceding the literal block (if it's at the end of a sentence, it gets
+ converted into a single ':').
+
+- reference_: A simple, one-word hyperlink reference.
+
+- `phrase reference`_: A reference with spaces or punctuation.
+
+- footnote reference [1]_: See quickref for details.
+
+- citation reference [CIT2002]_: See quickref for details.
+
+Note: the above are listed using bullet list markup. reST also has markup for
+enumerated, options, definitions and fields lists.
+
+
+Emacs cheat sheet
+=================
+
+These are a few useful Emacs bindings, copied from the help and support source
+code. C-= is by far the most common and useful one::
+
+ C-c p a (also C-=): rst-adjust
+
+ Updates or rotates the section title around point or promotes/demotes
+ the decorations within the region (see full details below).
+
+ Note that C-= is a good binding, since it allows you to specify a
+ negative arg easily with C-- C-= (easy to type), as well as ordinary
+ prefix arg with C-u C-=.
+
+ C-c p h: rst-display-decorations-hierarchy
+
+ Displays the level decorations that are available in the file.
+
+ C-c p t: rst-toc
+
+ Displays the hierarchical table-of-contents of the document and allows
+ you to jump to any section from it.
+
+ C-c p i: rst-toc-insert
+
+ Inserts a table-of-contents in the document at the column where the
+ cursor is.
+
+ C-c p u: rst-toc-insert-update
+
+ Finds an existing inserted table-of-contents in the document an
+ updates it.
+
+ C-c p p, C-c p n (C-c C-p, C-c C-n): rst-backward-section,
+ rst-forward-section
+
+ Navigate between section titles.
+
+ C-c p l, C-c p r (C-c C-l, C-c C-r): rst-shift-region-left,
+ rst-shift-region-right
+
+ Shift the region left or right by two-char increments, which is perfect
+ for bulleted lists.
+
+ M-S		center-paragraph
+
+ M-s		center-line
+
+
+Tests
+=====
+
+some text
+
+- a bulleted
+- list
+- without indentation
+
+more text
+
+* a bulleted
+
+* list that uses '*' for markers and leaves whitespace in between each item.
+ This is equally acceptable, and more legible when items are long.
+
+more text
+
+ - and another bullet list
+ - but indented in the plaintext source
+
+and more text.
+
+
+Trying block quotes::
+
+ foo bar
+
+ baz
+
+normal text
+
+
+Things I don't like
+===================
+
+- The fact that indented bulleted lists in the source end up double-indented in
+ the rendered doc. Since the default rendering of bullet lists indents (in
+ html), then the source should be the same.
+
+- Requiring indentation for block literals. This sucks for pasting code in and
+ out of reST docs.
+
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
From: <js...@us...> - 2007年12月02日 14:24:33
Revision: 4545
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4545&view=rev
Author: jswhit
Date: 2007年12月02日 06:24:29 -0800 (2007年12月02日)
Log Message:
-----------
wrap ax.get_position in a try/except so examples will work with transforms
branch.
Modified Paths:
--------------
 trunk/toolkits/basemap/examples/contour_demo.py
 trunk/toolkits/basemap/examples/panelplot.py
 trunk/toolkits/basemap/examples/plotmap.py
 trunk/toolkits/basemap/examples/plotmap_masked.py
 trunk/toolkits/basemap/examples/plotmap_oo.py
 trunk/toolkits/basemap/examples/plotprecip.py
 trunk/toolkits/basemap/examples/pnganim.py
 trunk/toolkits/basemap/examples/simpletest_oo.py
 trunk/toolkits/basemap/examples/test.py
Modified: trunk/toolkits/basemap/examples/contour_demo.py
===================================================================
--- trunk/toolkits/basemap/examples/contour_demo.py	2007年12月02日 13:57:34 UTC (rev 4544)
+++ trunk/toolkits/basemap/examples/contour_demo.py	2007年12月02日 14:24:29 UTC (rev 4545)
@@ -21,7 +21,10 @@
 x, y = m(lons, lats)
 CS = m.contour(x,y,hgt,15,linewidths=0.5,colors='k')
 CS = m.contourf(x,y,hgt,15,cmap=cm.jet)
-l,b,w,h=ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes
 colorbar(drawedges=True, cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -46,7 +49,10 @@
 x, y = m(lons, lats)
 CS = m.contour(x,y,hgt,15,linewidths=0.5,colors='k')
 CS = m.contourf(x,y,hgt,15,cmap=cm.jet)
-l,b,w,h=ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes
 colorbar(drawedges=True, cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -71,7 +77,10 @@
 x, y = m(lons, lats)
 CS = m.contour(x,y,hgt,15,linewidths=0.5,colors='k')
 CS = m.contourf(x,y,hgt,15,cmap=cm.jet)
-l,b,w,h=ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes
 colorbar(drawedges=True, cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -96,7 +105,10 @@
 x, y = m(lons, lats)
 CS = m.contour(x,y,hgt,15,linewidths=0.5,colors='k')
 CS = m.contourf(x,y,hgt,15,cmap=cm.jet)
-l,b,w,h=ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes
 colorbar(drawedges=True, cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -122,7 +134,10 @@
 x, y = m(lons, lats)
 CS = m.contour(x,y,hgt,15,linewidths=0.5,colors='k')
 CS = m.contourf(x,y,hgt,15,cmap=cm.jet)
-l,b,w,h=ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes
 colorbar(drawedges=True, cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
Modified: trunk/toolkits/basemap/examples/panelplot.py
===================================================================
--- trunk/toolkits/basemap/examples/panelplot.py	2007年12月02日 13:57:34 UTC (rev 4544)
+++ trunk/toolkits/basemap/examples/panelplot.py	2007年12月02日 14:24:29 UTC (rev 4545)
@@ -27,7 +27,10 @@
 CS = mnh.contour(xnh,ynh,hgt,15,linewidths=0.5,colors='k')
 CS = mnh.contourf(xnh,ynh,hgt,15,cmap=P.cm.Spectral)
 # colorbar on bottom.
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = P.axes([l, b-0.05, w, 0.025]) # setup colorbar axes
 P.colorbar(cax=cax, orientation='horizontal',ticks=CS.levels[0::4]) # draw colorbar
 P.axes(ax) # make the original axes current again
@@ -50,7 +53,10 @@
 CS = msh.contourf(xsh,ysh,hgt,15,cmap=P.cm.Spectral)
 # colorbar on bottom.
 ax.apply_aspect()
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = P.axes([l, b-0.05, w, 0.025]) # setup colorbar axes
 P.colorbar(cax=cax,orientation='horizontal',ticks=MultipleLocator(320)) # draw colorbar
 P.axes(ax) # make the original axes current again
@@ -72,7 +78,10 @@
 CS = mnh.contour(xnh,ynh,hgt,15,linewidths=0.5,colors='k')
 CS = mnh.contourf(xnh,ynh,hgt,15,cmap=P.cm.RdBu)
 # colorbar on right
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = P.axes([l+w+0.025, b, 0.025, h]) # setup colorbar axes
 P.colorbar(cax=cax, ticks=MultipleLocator(160), format='%4i') # draw colorbar
 P.axes(ax) # make the original axes current again
@@ -86,7 +95,10 @@
 CS = msh.contour(xsh,ysh,hgt,15,linewidths=0.5,colors='k')
 CS = msh.contourf(xsh,ysh,hgt,15,cmap=P.cm.RdBu)
 # colorbar on right.
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = P.axes([l+w+0.025, b, 0.025, h]) # setup colorbar axes
 P.colorbar(cax=cax, ticks=MultipleLocator(160), format='%4i') # draw colorbar
 P.axes(ax) # make the original axes current again
Modified: trunk/toolkits/basemap/examples/plotmap.py
===================================================================
--- trunk/toolkits/basemap/examples/plotmap.py	2007年12月02日 13:57:34 UTC (rev 4544)
+++ trunk/toolkits/basemap/examples/plotmap.py	2007年12月02日 14:24:29 UTC (rev 4545)
@@ -32,7 +32,10 @@
 # plot image over map with imshow.
 im = m.imshow(topodat,cm.jet)
 # setup colorbar axes instance.
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h])
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
Modified: trunk/toolkits/basemap/examples/plotmap_masked.py
===================================================================
--- trunk/toolkits/basemap/examples/plotmap_masked.py	2007年12月02日 13:57:34 UTC (rev 4544)
+++ trunk/toolkits/basemap/examples/plotmap_masked.py	2007年12月02日 14:24:29 UTC (rev 4545)
@@ -40,7 +40,10 @@
 # plot image over map with imshow.
 im = m.imshow(topodatm,palette,norm=colors.normalize(vmin=0.0,vmax=3000.0,clip=False))
 # setup colorbar axes instance.
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h])
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
Modified: trunk/toolkits/basemap/examples/plotmap_oo.py
===================================================================
--- trunk/toolkits/basemap/examples/plotmap_oo.py	2007年12月02日 13:57:34 UTC (rev 4544)
+++ trunk/toolkits/basemap/examples/plotmap_oo.py	2007年12月02日 14:24:29 UTC (rev 4545)
@@ -44,7 +44,10 @@
 topodat,x,y = m.transform_scalar(topoin,lons,lats,nx,ny,returnxy=True)
 # plot image over map with imshow.
 im = m.imshow(topodat,cm.jet)
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = fig.add_axes([l+w+0.075, b, 0.05, h],frameon=False) # setup colorbar axes
 fig.colorbar(im, cax=cax) # draw colorbar
 # plot blue dot on boulder, colorado and label it as such.
Modified: trunk/toolkits/basemap/examples/plotprecip.py
===================================================================
--- trunk/toolkits/basemap/examples/plotprecip.py	2007年12月02日 13:57:34 UTC (rev 4544)
+++ trunk/toolkits/basemap/examples/plotprecip.py	2007年12月02日 14:24:29 UTC (rev 4545)
@@ -51,7 +51,10 @@
 clevs = [0,1,2.5,5,7.5,10,15,20,30,40,50,70,100,150,200,250,300,400,500,600,750]
 cs = m.contourf(x,y,data,clevs,cmap=cm.s3pcpn)
 # new axis for colorbar.
-l,b,w,h=ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = pylab.axes([l+w+0.025, b, 0.025, h]) # setup colorbar axes
 # draw colorbar.
 pylab.colorbar(cs, cax, format='%g', ticks=clevs, drawedges=False) 
@@ -76,7 +79,10 @@
 im2 = copy.copy(im)
 im2.set_cmap(cm.s3pcpn_l)
 # new axis for colorbar.
-l,b,w,h=ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = pylab.axes([l+w+0.025, b, 0.025, h]) # setup colorbar axes
 # using im2, not im (hack to prevent colors from being
 # too compressed at the low end on the colorbar - results
Modified: trunk/toolkits/basemap/examples/pnganim.py
===================================================================
--- trunk/toolkits/basemap/examples/pnganim.py	2007年12月02日 13:57:34 UTC (rev 4544)
+++ trunk/toolkits/basemap/examples/pnganim.py	2007年12月02日 14:24:29 UTC (rev 4545)
@@ -126,7 +126,10 @@
 meridians = numpy.arange(0.,360.,20.)
 # number of repeated frames at beginning and end is n1.
 nframe = 0; n1 = 10
-l,b,w,h=ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 # loop over times, make contour plots, draw coastlines, 
 # parallels, meridians and title.
 for nt,date in enumerate(datelabels[1:]):
Modified: trunk/toolkits/basemap/examples/simpletest_oo.py
===================================================================
--- trunk/toolkits/basemap/examples/simpletest_oo.py	2007年12月02日 13:57:34 UTC (rev 4544)
+++ trunk/toolkits/basemap/examples/simpletest_oo.py	2007年12月02日 14:24:29 UTC (rev 4545)
@@ -37,7 +37,10 @@
 # add a title.
 ax.set_title('Robinson Projection')
 # add a colorbar.
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = fig.add_axes([l, b-0.1, w, 0.03],frameon=False) # setup colorbar axes
 fig.colorbar(cs, cax=cax, orientation='horizontal',ticks=cs.levels[::3]) 
 # save image (width 800 pixels with dpi=100 and fig width 8 inches).
Modified: trunk/toolkits/basemap/examples/test.py
===================================================================
--- trunk/toolkits/basemap/examples/test.py	2007年12月02日 13:57:34 UTC (rev 4544)
+++ trunk/toolkits/basemap/examples/test.py	2007年12月02日 14:24:29 UTC (rev 4545)
@@ -29,7 +29,10 @@
 ax = fig.add_axes([0.1,0.1,0.7,0.7])
 # plot image over map.
 im = m.imshow(topoin,cm.jet)
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.05, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -108,7 +111,10 @@
 im = m.imshow(topodat,cm.jet)
 # get current axis instance.
 ax = gca()
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.05, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -139,7 +145,10 @@
 im = m.imshow(topodat,cm.jet)
 # get current axis instance.
 ax = gca()
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.05, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -171,7 +180,10 @@
 im = m.imshow(topodat,cm.jet)
 # get current axis instance.
 ax = gca()
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.05, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -202,7 +214,10 @@
 im = m.imshow(topodat,cm.jet)
 # get current axis instance.
 ax = gca()
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.05, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -235,7 +250,10 @@
 im = m.imshow(topodat,cm.jet)
 # get current axis instance.
 ax = gca()
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.05, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -265,7 +283,10 @@
 ax = fig.add_axes([0.1,0.1,0.7,0.7])
 # plot image over map.
 im = m.imshow(topodat,cm.jet)
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.05, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -297,7 +318,10 @@
 ax = fig.add_axes([0.1,0.1,0.7,0.7])
 # plot image over map.
 im = m.imshow(topodat,cm.jet)
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -331,7 +355,10 @@
 # plot image over map.
 im = m.imshow(topodat,cm.jet)
 im.set_clim(-4000.,3000.) # adjust range of colors.
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -365,7 +392,10 @@
 ax = fig.add_axes([0.1,0.1,0.7,0.7])
 # plot image over map.
 im = m.imshow(topodat,cm.jet)
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -395,7 +425,10 @@
 ax = fig.add_axes([0.1,0.1,0.7,0.7])
 # plot image over map.
 im = m.imshow(topodat,cm.jet)
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -426,7 +459,10 @@
 ax = fig.add_axes([0.1,0.1,0.7,0.7])
 # plot image over map.
 im = m.imshow(topodat,cm.jet)
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -466,7 +502,10 @@
 # and values outside projection limb would be handled transparently
 # - see contour_demo.py)
 im = m.imshow(topo,palette,norm=colors.normalize(clip=False))
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -506,7 +545,10 @@
 # and values outside projection limb would be handled transparently
 # - see contour_demo.py)
 im = m.imshow(topo,palette,norm=colors.normalize(clip=False))
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.075, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -533,7 +575,10 @@
 # plot image over map with pcolormesh.
 x,y = m(*meshgrid(lonsin,latsin))
 p = m.pcolormesh(x,y,topodatin,shading='flat')
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.05, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -559,7 +604,10 @@
 # plot image over map with pcolormesh.
 x,y = m(*meshgrid(lonsin,latsin))
 p = m.pcolormesh(x,y,topodatin,shading='flat')
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.05, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
@@ -585,7 +633,10 @@
 # plot image over map with pcolormesh.
 x,y = m(*meshgrid(lonsin,latsin))
 p = m.pcolormesh(x,y,topodatin,shading='flat')
-l,b,w,h = ax.get_position()
+try: 
+ l,b,w,h = ax.get_position()
+except:
+ l,b,w,h = (ax.get_position()).bounds
 cax = axes([l+w+0.05, b, 0.05, h]) # setup colorbar axes.
 colorbar(cax=cax) # draw colorbar
 axes(ax) # make the original axes current again
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
Revision: 4544
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4544&view=rev
Author: jswhit
Date: 2007年12月02日 05:57:34 -0800 (2007年12月02日)
Log Message:
-----------
make sure there are no empty coastline segments.
Modified Paths:
--------------
 trunk/toolkits/basemap/lib/matplotlib/toolkits/basemap/basemap.py
Modified: trunk/toolkits/basemap/lib/matplotlib/toolkits/basemap/basemap.py
===================================================================
--- trunk/toolkits/basemap/lib/matplotlib/toolkits/basemap/basemap.py	2007年12月02日 13:23:22 UTC (rev 4543)
+++ trunk/toolkits/basemap/lib/matplotlib/toolkits/basemap/basemap.py	2007年12月02日 13:57:34 UTC (rev 4544)
@@ -658,7 +658,9 @@
 iprev = 0
 ind.append(len(xd))
 for i in ind:
- coastsegs.append(zip(x[iprev:i],y[iprev:i]))
+ # don't add empty lists.
+ if len(range(iprev,i)): 
+ coastsegs.append(zip(x[iprev:i],y[iprev:i]))
 iprev = i
 else:
 coastsegs.append(seg)
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
From: <js...@us...> - 2007年12月02日 13:23:26
Revision: 4543
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4543&view=rev
Author: jswhit
Date: 2007年12月02日 05:23:22 -0800 (2007年12月02日)
Log Message:
-----------
save png output at 600 dpi (instead of eps/pdf)
Modified Paths:
--------------
 trunk/py4science/examples/basemap1.py
 trunk/py4science/examples/basemap2.py
 trunk/py4science/examples/basemap3.py
 trunk/py4science/examples/basemap4.py
 trunk/py4science/examples/basemap5.py
Modified: trunk/py4science/examples/basemap1.py
===================================================================
--- trunk/py4science/examples/basemap1.py	2007年12月02日 13:22:48 UTC (rev 4542)
+++ trunk/py4science/examples/basemap1.py	2007年12月02日 13:23:22 UTC (rev 4543)
@@ -24,5 +24,4 @@
 m.drawcountries()
 m.drawstates()
 pylab.title('map region specified using corner lat/lon values')
-pylab.savefig('basemap1.eps')
-pylab.savefig('basemap1.png')
+pylab.savefig('basemap1.png',dpi=600)
Modified: trunk/py4science/examples/basemap2.py
===================================================================
--- trunk/py4science/examples/basemap2.py	2007年12月02日 13:22:48 UTC (rev 4542)
+++ trunk/py4science/examples/basemap2.py	2007年12月02日 13:23:22 UTC (rev 4543)
@@ -19,5 +19,4 @@
 m.drawcountries()
 m.drawstates()
 pylab.title('map region specified using width and height')
-pylab.savefig('basemap2.eps')
-pylab.savefig('basemap2.png')
+pylab.savefig('basemap2.png',dpi=600)
Modified: trunk/py4science/examples/basemap3.py
===================================================================
--- trunk/py4science/examples/basemap3.py	2007年12月02日 13:22:48 UTC (rev 4542)
+++ trunk/py4science/examples/basemap3.py	2007年12月02日 13:23:22 UTC (rev 4543)
@@ -40,5 +40,4 @@
 m.drawcountries()
 m.drawstates()
 pylab.title('NY to London Great Circle')
-pylab.savefig('basemap3.eps')
-pylab.savefig('basemap3.png')
+pylab.savefig('basemap3.png',dpi=600)
Modified: trunk/py4science/examples/basemap4.py
===================================================================
--- trunk/py4science/examples/basemap4.py	2007年12月02日 13:22:48 UTC (rev 4542)
+++ trunk/py4science/examples/basemap4.py	2007年12月02日 13:23:22 UTC (rev 4543)
@@ -24,5 +24,4 @@
 # of the plot frame.
 m.drawparallels(numpy.arange(-80,81,20),labels=[1,1,1,0])
 pylab.title('labelled meridians and parallels',y=1.075)
-pylab.savefig('basemap4.eps')
-pylab.savefig('basemap4.png')
+pylab.savefig('basemap4.png',dpi=600)
Modified: trunk/py4science/examples/basemap5.py
===================================================================
--- trunk/py4science/examples/basemap5.py	2007年12月02日 13:22:48 UTC (rev 4542)
+++ trunk/py4science/examples/basemap5.py	2007年12月02日 13:23:22 UTC (rev 4543)
@@ -29,5 +29,4 @@
 m.drawmapboundary(fill_color='k')
 # draw horizontal colorbar.
 pylab.colorbar(orientation='horizontal')
-pylab.savefig('basemap5.pdf')
-pylab.savefig('basemap5.png')
+pylab.savefig('basemap5.png',dpi=600)
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
From: <js...@us...> - 2007年12月02日 13:22:50
Revision: 4542
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4542&view=rev
Author: jswhit
Date: 2007年12月02日 05:22:48 -0800 (2007年12月02日)
Log Message:
-----------
remove pdf files
Removed Paths:
-------------
 trunk/py4science/workbook/fig/basemap1.pdf
 trunk/py4science/workbook/fig/basemap3.pdf
 trunk/py4science/workbook/fig/basemap4.pdf
Deleted: trunk/py4science/workbook/fig/basemap1.pdf
===================================================================
(Binary files differ)
Deleted: trunk/py4science/workbook/fig/basemap3.pdf
===================================================================
(Binary files differ)
Deleted: trunk/py4science/workbook/fig/basemap4.pdf
===================================================================
(Binary files differ)
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
From: <js...@us...> - 2007年12月02日 13:21:47
Revision: 4541
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4541&view=rev
Author: jswhit
Date: 2007年12月02日 05:21:28 -0800 (2007年12月02日)
Log Message:
-----------
use 600 dpi pngs instead of eps/pdf for basemap example
(eps/pdf files were too big)
Modified Paths:
--------------
 trunk/py4science/workbook/fig/basemap1.png
 trunk/py4science/workbook/fig/basemap2.png
 trunk/py4science/workbook/fig/basemap3.png
 trunk/py4science/workbook/fig/basemap4.png
 trunk/py4science/workbook/fig/basemap5.png
Removed Paths:
-------------
 trunk/py4science/workbook/fig/basemap1.eps
 trunk/py4science/workbook/fig/basemap2.eps
 trunk/py4science/workbook/fig/basemap3.eps
 trunk/py4science/workbook/fig/basemap4.eps
 trunk/py4science/workbook/fig/basemap5.pdf
Deleted: trunk/py4science/workbook/fig/basemap1.eps
===================================================================
--- trunk/py4science/workbook/fig/basemap1.eps	2007年12月02日 07:45:41 UTC (rev 4540)
+++ trunk/py4science/workbook/fig/basemap1.eps	2007年12月02日 13:21:28 UTC (rev 4541)
@@ -1,50377 +0,0 @@
-%!PS-Adobe-3.0 EPSF-3.0
-%%Title: basemap1.eps
-%%Creator: matplotlib version 0.91.0, http://matplotlib.sourceforge.net/
-%%CreationDate: Fri Nov 30 20:17:55 2007
-%%Orientation: portrait
-%%BoundingBox: 18 180 594 612
-%%EndComments
-%%BeginProlog
-/mpldict 8 dict def
-mpldict begin
-/m { moveto } bind def
-/l { lineto } bind def
-/r { rlineto } bind def
-/box {
-m
-1 index 0 r
-0 exch r
-neg 0 r
-closepath
-} bind def
-/clipbox {
-box
-clip
-newpath
-} bind def
-/ellipse {
-newpath
-matrix currentmatrix 7 1 roll
-translate
-scale
-0 0 1 5 3 roll arc
-setmatrix
-closepath
-} bind def
-/unitcircle {
-newpath
--1. 0. moveto
--1.0 0.552284749831 -0.552284749831 1.0 0.0 1.0 curveto
-0.552284749831 1.0 1.0 0.552284749831 1.0 0.0 curveto
-1.0 -0.552284749831 0.552284749831 -1.0 0.0 -1.0 curveto
--0.552284749831 -1.0 -1.0 -0.552284749831 -1.0 0.0 curveto
-closepath
-} bind def
-%!PS-Adobe-3.0 Resource-Font
-%%Title: Bitstream Vera Sans
-%%Copyright: Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved.
-%%Creator: Converted from TrueType by PPR
-25 dict begin
-/_d{bind def}bind def
-/_m{moveto}_d
-/_l{lineto}_d
-/_cl{closepath eofill}_d
-/_c{curveto}_d
-/_sc{7 -1 roll{setcachedevice}{pop pop pop pop pop pop}ifelse}_d
-/_e{exec}_d
-/FontName /BitstreamVeraSans-Roman def
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-/FontMatrix[.001 0 0 .001 0 0]def
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-/Weight (Roman) def
-/Version (Release 1.10) def
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-/UnderlinePosition -213 def
-/UnderlineThickness 143 def
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[truncated message content]
From: <fer...@us...> - 2007年12月02日 07:45:42
Revision: 4540
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4540&view=rev
Author: fer_perez
Date: 2007年12月01日 23:45:41 -0800 (2007年12月01日)
Log Message:
-----------
Renaming dirs to avoid conflicts in doc merge
Removed Paths:
-------------
 trunk/py4science/workbook/examples_skel/
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
From: <fer...@us...> - 2007年12月02日 07:44:53
Revision: 4539
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4539&view=rev
Author: fer_perez
Date: 2007年12月01日 23:44:51 -0800 (2007年12月01日)
Log Message:
-----------
Partial commit, I have a bit of a mess here...
Added Paths:
-----------
 trunk/py4science/workbook/problems_skel/
Copied: trunk/py4science/workbook/problems_skel (from rev 4538, trunk/py4science/workbook/examples_skel)
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
From: <fer...@us...> - 2007年12月01日 21:29:50
Revision: 4538
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4538&view=rev
Author: fer_perez
Date: 2007年12月01日 13:29:49 -0800 (2007年12月01日)
Log Message:
-----------
Agenda updates
Modified Paths:
--------------
 trunk/py4science/classes/0712_ncar_agenda.txt
Modified: trunk/py4science/classes/0712_ncar_agenda.txt
===================================================================
--- trunk/py4science/classes/0712_ncar_agenda.txt	2007年12月01日 20:12:05 UTC (rev 4537)
+++ trunk/py4science/classes/0712_ncar_agenda.txt	2007年12月01日 21:29:49 UTC (rev 4538)
@@ -51,11 +51,15 @@
 - matplotlib (latex, etc).
 - Modules: import/reload, PYTHONPATH.
 
+- Urllib Yahoo finance demo.
+ 
 ToDo: Add numerical error measure of trapezoid rule.
 
 ToDo Add in workflow comparison with scipy's integration. compare timing and
 eror.
 
+ToDo: write cheat-sheet.
+
 1045:1100 --- Coffee break ---
 
 
@@ -86,8 +90,8 @@
 
 1500:1700: Optional material (there's a Christmas party)
 
-Web-based data sources, tabular data and record arrays, illustrated with Yahoo
-Finance scraping, or PyDAP/OpenDAP.
+PyDAP/OpenDAP
+PyTables
 
 
 Day 2 (Saturday December 8)
@@ -114,32 +118,19 @@
 
 1200:1300 --- Lunch break ---
 
-1300:1500 Menu of options:
+1300:1330: JDH - SVN workflow, contributing to the workbook. (optional mailing list
+ subscription)
 
-* Data fitting/smoothing: least squares, cubic splines, polynomial fitting.
-Basic linear algebra (30 min).
+1330:1400: JDH - Type along data smoothing, convolutions, scipy.filter
 
-* Bessel functions: special functions library, array manipulations to check
-recursion relation (30 min).
+1400:1430: FP - Basic data fitting, scipy.optimize
 
-* Descriptive statistics, statistical distributions (1 hr).
+1430:1500: FP - Sage intro/demo.
 
-* SVD/eigenfaces (1 hr).
+1500:1515 - Wrapup.
 
-* Logistic map (1 hr).
 
-* Sage intro/demo (20-30 min).
 
-* Beautiful soup: screen-scraping HTML for data extraction (30 min).
-
-* Word frequencies: use of dictionaries and text processing (20 min).
-
-* Prime numbers: the Sieve of Erathostenes. Illustrates lists and sets (30
- min).
- 
-* Wallis' pi: arbitrary precision integers (30 min).
-
-
 Unused examples and exercises, extra ideas
 ==========================================
 
@@ -153,3 +144,21 @@
 
 * Extended precision root finding: manually implement newton's method using
 clnum or mpfr.
+
+* Bessel functions: special functions library, array manipulations to check
+recursion relation (30 min).
+
+* Descriptive statistics, statistical distributions (1 hr).
+
+* SVD/eigenfaces (1 hr).
+
+* Logistic map (1 hr).
+
+* Beautiful soup: screen-scraping HTML for data extraction (30 min).
+
+* Word frequencies: use of dictionaries and text processing (20 min).
+
+* Prime numbers: the Sieve of Erathostenes. Illustrates lists and sets (30
+ min).
+ 
+* Wallis' pi: arbitrary precision integers (30 min).
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
From: <as...@us...> - 2007年12月01日 20:12:11
Revision: 4537
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4537&view=rev
Author: astraw
Date: 2007年12月01日 12:12:05 -0800 (2007年12月01日)
Log Message:
-----------
Fix loading of AAPL data in get_two_stock_data()
Modified Paths:
--------------
 trunk/matplotlib/examples/data_helper.py
Modified: trunk/matplotlib/examples/data_helper.py
===================================================================
--- trunk/matplotlib/examples/data_helper.py	2007年12月01日 14:37:44 UTC (rev 4536)
+++ trunk/matplotlib/examples/data_helper.py	2007年12月01日 20:12:05 UTC (rev 4537)
@@ -15,7 +15,7 @@
 M1 = resize(M1, (M1.shape[0]/2,2) )
 
 M2 = fromstring( file('data/%s.dat' % ticker2, 'rb').read(), '<d')
- M2 = resize(M1, (M2.shape[0]/2,2) )
+ M2 = resize(M2, (M2.shape[0]/2,2) )
 
 d1, p1 = M1[:,0], M1[:,1]
 d2, p2 = M2[:,0], M2[:,1]
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
From: <js...@us...> - 2007年12月01日 14:39:34
Revision: 4536
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4536&view=rev
Author: jswhit
Date: 2007年12月01日 06:37:44 -0800 (2007年12月01日)
Log Message:
-----------
update figs for basemap example
Modified Paths:
--------------
 trunk/py4science/workbook/fig/basemap1.eps
 trunk/py4science/workbook/fig/basemap1.png
 trunk/py4science/workbook/fig/basemap2.eps
 trunk/py4science/workbook/fig/basemap2.png
 trunk/py4science/workbook/fig/basemap3.eps
 trunk/py4science/workbook/fig/basemap3.png
 trunk/py4science/workbook/fig/basemap4.eps
 trunk/py4science/workbook/fig/basemap4.png
 trunk/py4science/workbook/fig/basemap5.pdf
 trunk/py4science/workbook/fig/basemap5.png
Modified: trunk/py4science/workbook/fig/basemap1.eps
===================================================================
--- trunk/py4science/workbook/fig/basemap1.eps	2007年12月01日 13:59:01 UTC (rev 4535)
+++ trunk/py4science/workbook/fig/basemap1.eps	2007年12月01日 14:37:44 UTC (rev 4536)
@@ -1,7 +1,7 @@
 %!PS-Adobe-3.0 EPSF-3.0
 %%Title: basemap1.eps
-%%Creator: matplotlib version 0.90.1, http://matplotlib.sourceforge.net/
-%%CreationDate: Wed Nov 21 12:50:18 2007
+%%Creator: matplotlib version 0.91.0, http://matplotlib.sourceforge.net/
+%%CreationDate: Fri Nov 30 20:17:55 2007
 %%Orientation: portrait
 %%BoundingBox: 18 180 594 612
 %%EndComments
@@ -483,10 +483,10 @@
 grestore
 stroke
 0.000 setgray
-57.6 43.214 m
-57.6 388.786 l
-518.4 388.786 l
-518.4 43.214 l
+72 48.613 m
+72 383.387 l
+518.4 383.387 l
+518.4 48.613 l
 closepath
 gsave
 0.000 1.000 1.000 setrgbcolor
@@ -496,15 +496,15 @@
 1.000 0.498 0.314 setrgbcolor
 0.000 setlinewidth
 gsave
-460.8 345.6 57.6 43.21 clipbox
-371.865 388.786 m
-371.763 388.613 l
-372.168 388.022 l
-371.562 387.849 l
-371.541 388.16 l
-370.667 388.402 l
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-371.865 388.786 l
+446.4 334.8 72 48.61 clipbox
+376.444 383.387 m
+376.346 383.218 l
+376.737 382.646 l
+376.151 382.479 l
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[truncated message content]
From: <js...@us...> - 2007年12月01日 13:59:08
Revision: 4535
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4535&view=rev
Author: jswhit
Date: 2007年12月01日 05:59:01 -0800 (2007年12月01日)
Log Message:
-----------
update basemap examples for version 0.9.8
Modified Paths:
--------------
 trunk/py4science/examples/basemap1.py
 trunk/py4science/examples/basemap2.py
 trunk/py4science/examples/basemap3.py
 trunk/py4science/examples/basemap4.py
 trunk/py4science/examples/basemap5.py
 trunk/py4science/examples/skel/basemap1_skel.py
 trunk/py4science/examples/skel/basemap2_skel.py
 trunk/py4science/examples/skel/basemap3_skel.py
 trunk/py4science/examples/skel/basemap4_skel.py
 trunk/py4science/examples/skel/basemap5_skel.py
 trunk/py4science/workbook/basemap.tex
Modified: trunk/py4science/examples/basemap1.py
===================================================================
--- trunk/py4science/examples/basemap1.py	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/examples/basemap1.py	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -2,9 +2,7 @@
 from matplotlib.toolkits.basemap import Basemap
 
 # create figure.
-# background color will be used for 'wet' areas.
 fig = pylab.figure()
-fig.add_axes([0.1,0.1,0.8,0.8],axisbg='aqua')
 # create map by specifying lat/lon values at corners.
 resolution = 'l'
 projection = 'lcc'
@@ -18,8 +16,10 @@
 resolution=resolution,projection=projection)
 # draw coastlines. Make liness a little thinner than default.
 m.drawcoastlines(linewidth=0.5)
-# fill continents.
-m.fillcontinents(color='coral')
+# background fill color will show ocean areas.
+m.drawmapboundary(fill_color='aqua')
+# fill continents, lakes within continents.
+m.fillcontinents(color='coral',lake_color='aqua')
 # draw states and countries.
 m.drawcountries()
 m.drawstates()
Modified: trunk/py4science/examples/basemap2.py
===================================================================
--- trunk/py4science/examples/basemap2.py	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/examples/basemap2.py	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -2,9 +2,7 @@
 from matplotlib.toolkits.basemap import Basemap
 
 # create figure.
-# background color will be used for 'wet' areas.
 fig = pylab.figure()
-fig.add_axes([0.1,0.1,0.8,0.8],axisbg='aqua')
 # create map by specifying width and height in km.
 resolution = 'l'
 projection = 'lcc'
@@ -15,11 +13,9 @@
 m = Basemap(lon_0=lon_0,lat_0=lat_0,\
 width=width,height=height,\
 resolution=resolution,projection=projection)
-# draw coastlines.
 m.drawcoastlines(linewidth=0.5)
-# fill continents.
-m.fillcontinents(color='coral')
-# draw states and countries.
+m.drawmapboundary(fill_color='aqua')
+m.fillcontinents(color='coral',lake_color='aqua')
 m.drawcountries()
 m.drawstates()
 pylab.title('map region specified using width and height')
Modified: trunk/py4science/examples/basemap3.py
===================================================================
--- trunk/py4science/examples/basemap3.py	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/examples/basemap3.py	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -2,9 +2,7 @@
 from matplotlib.toolkits.basemap import Basemap
 
 # create figure.
-# background color will be used for 'wet' areas.
 fig = pylab.figure()
-fig.add_axes([0.1,0.1,0.8,0.8],axisbg='aqua')
 # create map by specifying width and height in km.
 resolution = 'l'
 lon_0 = -50
@@ -37,7 +35,8 @@
 pylab.text(lon_x-100000,lon_y+100000,'London',fontsize=12,\
 color='k',horizontalalignment='right',fontweight='bold')
 m.drawcoastlines(linewidth=0.5)
-m.fillcontinents(color='coral')
+m.drawmapboundary(fill_color='aqua')
+m.fillcontinents(color='coral',lake_color='aqua')
 m.drawcountries()
 m.drawstates()
 pylab.title('NY to London Great Circle')
Modified: trunk/py4science/examples/basemap4.py
===================================================================
--- trunk/py4science/examples/basemap4.py	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/examples/basemap4.py	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -1,9 +1,7 @@
 import pylab, numpy
 from matplotlib.toolkits.basemap import Basemap
 # create figure.
-# background color will be used for 'wet' areas.
 fig = pylab.figure()
-fig.add_axes([0.1,0.1,0.8,0.8],axisbg='aqua')
 # create map by specifying width and height in km.
 resolution = 'l'
 lon_0 = -50
@@ -15,7 +13,8 @@
 width=width,height=height,\
 resolution=resolution,projection=projection)
 m.drawcoastlines(linewidth=0.5)
-m.fillcontinents(color='coral')
+m.drawmapboundary(fill_color='aqua')
+m.fillcontinents(color='coral',lake_color='aqua')
 m.drawcountries()
 m.drawstates()
 # label meridians where they intersect the left, right and bottom
Modified: trunk/py4science/examples/basemap5.py
===================================================================
--- trunk/py4science/examples/basemap5.py	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/examples/basemap5.py	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -1,28 +1,22 @@
 from matplotlib.toolkits.basemap import Basemap, NetCDFFile
 import pylab, numpy
-from numpy import ma
 
 # read in netCDF sea-surface temperature data
+# can be a local file, a URL for a remote opendap dataset,
+# or (if PyNIO is installed) a GRIB or HDF file.
 ncfile = NetCDFFile('data/sst.nc')
-sstv = ncfile.variables['analysed_sst']
-sst = ma.masked_values(numpy.squeeze(sstv[:]), sstv._FillValue)
-sst = sstv.scale_factor*sst + sstv.add_offset
+sst = ncfile.variables['analysed_sst'][:]
 lats = ncfile.variables['lat'][:]
 lons = ncfile.variables['lon'][:]
+
 print sst.shape, sst.min(), sst.max()
 
-# make sure middle of map region is middle of data grid.
-lon_0 = lons.mean()
-lat_0 = lats.mean()
 # set colormap
 cmap = pylab.cm.gist_ncar
-# set so masked values in an image will be black
-# (i.e. continents will be painted this color)
-cmap.set_bad('k')
 # create Basemap instance for mollweide projection.
 # coastlines not used, so resolution set to None to skip
 # continent processing (this speeds things up a bit)
-m = Basemap(projection='moll',lon_0=lon_0,lat_0=lat_0,resolution=None)
+m = Basemap(projection='moll',lon_0=0,lat_0=0,resolution=None)
 # compute map projection coordinates of grid.
 x, y = m(*numpy.meshgrid(lons, lats))
 # plot with pcolor
@@ -31,8 +25,9 @@
 m.drawparallels(numpy.arange(-90.,120.,30.))
 m.drawmeridians(numpy.arange(0.,420.,60.))
 # draw line around map projection limb.
-m.drawmapboundary()
+# color map region background black (missing values will be this color)
+m.drawmapboundary(fill_color='k')
 # draw horizontal colorbar.
 pylab.colorbar(orientation='horizontal')
-pylab.savefig('basemap5.pdf') # eps files are too huge when pcolor used.
+pylab.savefig('basemap5.pdf')
 pylab.savefig('basemap5.png')
Modified: trunk/py4science/examples/skel/basemap1_skel.py
===================================================================
--- trunk/py4science/examples/skel/basemap1_skel.py	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/examples/skel/basemap1_skel.py	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -2,9 +2,7 @@
 from matplotlib.toolkits.basemap import Basemap
 
 # create figure.
-# background color will be used for 'wet' areas.
 fig = pylab.figure()
-fig.add_axes([0.1,0.1,0.8,0.8],axisbg='aqua')
 # create map by specifying lat/lon values at corners.
 projection = 'lcc' # map projection 
 resolution = XX # resolution of boundaries ('c','l','i',or 'h')
@@ -18,8 +16,10 @@
 resolution=resolution,projection=projection)
 # draw coastlines. Make liness a little thinner than default.
 m.drawcoastlines(linewidth=0.5)
-# fill continents.
-m.fillcontinents(color='coral')
+# background fill color will show ocean areas.
+m.drawmapboundary(fill_color='aqua')
+# fill continents, lakes within continents.
+m.fillcontinents(color='coral',lake_color='aqua')
 # draw states and countries.
 m.drawcountries()
 m.drawstates()
Modified: trunk/py4science/examples/skel/basemap2_skel.py
===================================================================
--- trunk/py4science/examples/skel/basemap2_skel.py	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/examples/skel/basemap2_skel.py	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -2,9 +2,7 @@
 from matplotlib.toolkits.basemap import Basemap, supported_projections
 
 # create figure.
-# background color will be used for 'wet' areas.
 fig = pylab.figure()
-fig.add_axes([0.1,0.1,0.8,0.8],axisbg='aqua')
 # create map by specifying width and height in km.
 projection = XX # map projection ('lcc','stere','laea','aea' etc)
 # 'print supported_projections' gives a list
@@ -16,11 +14,9 @@
 m = Basemap(lon_0=lon_0,lat_0=lat_0,\
 width=width,height=height,\
 resolution=resolution,projection=projection)
-# draw coastlines.
 m.drawcoastlines(linewidth=0.5)
-# fill continents.
-m.fillcontinents(color='coral')
-# draw states and countries.
+m.drawmapboundary(fill_color='aqua')
+m.fillcontinents(color='coral',lake_color='aqua')
 m.drawcountries()
 m.drawstates()
 pylab.title('map region specified using width and height')
Modified: trunk/py4science/examples/skel/basemap3_skel.py
===================================================================
--- trunk/py4science/examples/skel/basemap3_skel.py	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/examples/skel/basemap3_skel.py	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -4,7 +4,6 @@
 # create figure.
 # background color will be used for 'wet' areas.
 fig = pylab.figure()
-fig.add_axes([0.1,0.1,0.8,0.8],axisbg='aqua')
 # create map by specifying width and height in km.
 resolution = 'l'
 lon_0 = -50
@@ -39,7 +38,8 @@
 pylab.text(x2-100000,y2+100000,name2,fontsize=12,\
 color='k',horizontalalignment='right',fontweight='bold')
 m.drawcoastlines(linewidth=0.5)
-m.fillcontinents(color='coral')
+m.drawmapboundary(fill_color='aqua')
+m.fillcontinents(color='coral',lake_color='aqua')
 m.drawcountries()
 m.drawstates()
 pylab.title(name1+' to '+name2+' Great Circle')
Modified: trunk/py4science/examples/skel/basemap4_skel.py
===================================================================
--- trunk/py4science/examples/skel/basemap4_skel.py	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/examples/skel/basemap4_skel.py	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -1,9 +1,7 @@
 import pylab, numpy
 from matplotlib.toolkits.basemap import Basemap
 # create figure.
-# background color will be used for 'wet' areas.
 fig = pylab.figure()
-fig.add_axes([0.1,0.1,0.8,0.8],axisbg='aqua')
 # create map by specifying width and height in km.
 resolution = 'l'
 lon_0 = -50
@@ -15,7 +13,8 @@
 width=width,height=height,\
 resolution=resolution,projection=projection)
 m.drawcoastlines(linewidth=0.5)
-m.fillcontinents(color='coral')
+m.drawmapboundary(fill_color='aqua')
+m.fillcontinents(color='coral',lake_color='aqua')
 m.drawcountries()
 m.drawstates()
 # draw and label parallels.
Modified: trunk/py4science/examples/skel/basemap5_skel.py
===================================================================
--- trunk/py4science/examples/skel/basemap5_skel.py	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/examples/skel/basemap5_skel.py	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -1,33 +1,24 @@
 from matplotlib.toolkits.basemap import Basemap, NetCDFFile, cm
 import pylab, numpy
-from numpy import ma
 
 # read in netCDF sea-surface temperature data
+# can be a local file, a URL for a remote opendap dataset,
+# or (if PyNIO is installed) a GRIB or HDF file.
 ncfile = NetCDFFile('data/sst.nc')
-sstv = ncfile.variables['analysed_sst']
-sst = ma.masked_values(numpy.squeeze(sstv[:]), sstv._FillValue)
-sst = sstv.scale_factor*sst + sstv.add_offset
+sst = ncfile.variables['analysed_sst'][:]
 lats = ncfile.variables['lat'][:]
 lons = ncfile.variables['lon'][:]
+
 print sst.shape, sst.min(), sst.max()
 
-# make sure middle of map region is middle of data grid.
-lon_0 = lons.mean()
-lat_0 = lats.mean()
-# set colormap
-#cmap = pylab.cm.gist_ncar
 # Basemap comes with extra colormaps from Generic Mapping Tools
 # (imported as cm, pylab colormaps in pylab.cm)
 cmap = XX
-# set so masked values in an image will be painted specified color
-# (i.e. continents will be painted this color)
-color = XX
-cmap.set_bad(color)
 # create Basemap instance for mollweide projection.
 projection = XX # try moll, robin, sinu or ortho.
 # coastlines not used, so resolution set to None to skip
 # continent processing (this speeds things up a bit)
-m = Basemap(projection=projection,lon_0=lon_0,lat_0=lat_0,resolution=None)
+m = Basemap(projection=projection,lon_0=0,lat_0=0,resolution=None)
 # compute map projection coordinates of grid.
 x, y = m(*numpy.meshgrid(lons, lats))
 # plot with pcolor
@@ -36,7 +27,9 @@
 m.drawparallels(numpy.arange(-90.,120.,30.))
 m.drawmeridians(numpy.arange(0.,420.,60.))
 # draw line around map projection limb.
-m.drawmapboundary()
+# color map region background (missing values will be this color)
+color = XX
+m.drawmapboundary(fill_color=color)
 # draw horizontal colorbar.
 pylab.colorbar(orientation='horizontal')
 pylab.show()
Modified: trunk/py4science/workbook/basemap.tex
===================================================================
--- trunk/py4science/workbook/basemap.tex	2007年11月30日 20:06:59 UTC (rev 4534)
+++ trunk/py4science/workbook/basemap.tex	2007年12月01日 13:59:01 UTC (rev 4535)
@@ -96,10 +96,16 @@
 One of the most common uses of Basemap is to visualize earth science
 data, such as output from climate models. These data often come on
 latitude/longitude grids. One common data format for storing such
-grids is NetCDF. Basemap includes a NetCDF file reader (written in
-pure python by Roberto D'Almeida). There are python packages available
-for reading just about every other scientific data format imaginable,
-including HDF, GRIB, FITS and many others. Following is an example
+grids is NetCDF. Basemap includes a NetCDF file reader (written in
+pure python by Roberto D'Almeida). 
+You can also access remote datasets over the web using the OPeNDAP
+protocol - just give the NetCDFFile function a URL instead of a local file name
+and Roberto's pydap module (\texttt{http://pydap.org}) will be used.
+The pydap client is included in Basemap.
+If the PyNIO module (\texttt{http://www.pyngl.ucar.edu/Nio.shtml}) is installed, the 
+NetCDFFile function can also be used to open the formats that 
+PyNIO supports, like GRIB and HDF.
+Following is an example
 of how to read sea-surface temperature data from a NetCDF file and
 plot it on a global mollweide projection.
 
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