From: <md...@us...> - 2008-10-15 18:23:00
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Revision: 6211 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6211&view=rev Author: mdboom Date: 2008-10-15 17:54:38 +0000 (Wed, 15 Oct 2008) Log Message: ----------- Fix some HTML errors found with xmllint. Modified Paths: -------------- trunk/matplotlib/doc/_templates/index.html Modified: trunk/matplotlib/doc/_templates/index.html =================================================================== --- trunk/matplotlib/doc/_templates/index.html 2008-10-15 17:54:03 UTC (rev 6210) +++ trunk/matplotlib/doc/_templates/index.html 2008-10-15 17:54:38 UTC (rev 6211) @@ -1140,5 +1140,4 @@ </tr> </table> -</table> {% endblock %} This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |
From: <ry...@us...> - 2008-10-23 15:46:35
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Revision: 6308 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6308&view=rev Author: ryanmay Date: 2008-10-23 15:46:27 +0000 (Thu, 23 Oct 2008) Log Message: ----------- Add barbs to list of plotting commands. Also make the capitalization (or lack thereof) of the table descriptions consistent. Modified Paths: -------------- trunk/matplotlib/doc/_templates/index.html Modified: trunk/matplotlib/doc/_templates/index.html =================================================================== --- trunk/matplotlib/doc/_templates/index.html 2008-10-23 15:42:25 UTC (rev 6307) +++ trunk/matplotlib/doc/_templates/index.html 2008-10-23 15:46:27 UTC (rev 6308) @@ -86,7 +86,7 @@ </th> <td align="left"> - Create a new axes + create a new axes </td> </tr> @@ -141,12 +141,23 @@ </th> <td align="left"> - Set or return the current axis limits + set or return the current axis limits </td> </tr> <tr> <th align="left"> + <a href="api/pyplot_api.html#matplotlib.pyplot.barbs">barbs</a> + + </th> + + <td align="left"> + a (wind) barb plot + </td> + + </tr> + <tr> + <th align="left"> <a href="api/pyplot_api.html#matplotlib.pyplot.bar">bar</a> </th> This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |
From: <as...@us...> - 2008-12-03 09:07:31
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Revision: 6482 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6482&view=rev Author: astraw Date: 2008-12-03 09:07:27 +0000 (Wed, 03 Dec 2008) Log Message: ----------- docs: add hexbin link in main overview page Modified Paths: -------------- trunk/matplotlib/doc/_templates/index.html Modified: trunk/matplotlib/doc/_templates/index.html =================================================================== --- trunk/matplotlib/doc/_templates/index.html 2008-12-03 08:27:12 UTC (rev 6481) +++ trunk/matplotlib/doc/_templates/index.html 2008-12-03 09:07:27 UTC (rev 6482) @@ -490,6 +490,17 @@ </tr> <tr> <th align="left"> + <a href="api/pyplot_api.html#matplotlib.pyplot.hexbin">hexbin</a> + + </th> + + <td align="left"> + make a 2D hexagonal binning plot + </td> + + </tr> + <tr> + <th align="left"> <a href="api/pyplot_api.html#matplotlib.pyplot.hist">hist</a> </th> This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |
From: <ef...@us...> - 2010-06-06 18:58:49
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Revision: 8387 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8387&view=rev Author: efiring Date: 2010-06-06 18:58:43 +0000 (Sun, 06 Jun 2010) Log Message: ----------- [2745233] clarify first example in the documentation Modified Paths: -------------- trunk/matplotlib/doc/_templates/index.html Modified: trunk/matplotlib/doc/_templates/index.html =================================================================== --- trunk/matplotlib/doc/_templates/index.html 2010-06-06 04:18:53 UTC (rev 8386) +++ trunk/matplotlib/doc/_templates/index.html 2010-06-06 18:58:43 UTC (rev 8387) @@ -24,14 +24,14 @@ alt="screenshots"/></a></p> - <p>For example, to generate 10,000 gaussian random numbers and make a - histogram plot binning the data into 100 bins, you simply need to + <p>For example, using "ipython -pylab" to provide an interactive + environment, to generate 10,000 gaussian random numbers and plot a + histogram with 100 bins, you simply need to type</p> <pre> - >>> from pylab import randn, hist - >>> x = randn(10000) - >>> hist(x, 100)</pre> + x = randn(10000) + hist(x, 100)</pre> <p>For the power user, you have full control of line styles, font properties, axes properties, etc, via an object oriented interface This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |