Thread: SF.net SVN: matplotlib:[8627] branches/v1_0_maint/lib/matplotlib/mlab.py

Revision: 8627
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8627&view=rev
Author: jdh2358
Date: 2010年08月13日 18:23:33 +0000 (2010年8月13日)
Log Message:
-----------
fix docstring typo
Modified Paths:
--------------
 branches/v1_0_maint/lib/matplotlib/mlab.py
Modified: branches/v1_0_maint/lib/matplotlib/mlab.py
===================================================================
--- branches/v1_0_maint/lib/matplotlib/mlab.py	2010年08月12日 21:16:10 UTC (rev 8626)
+++ branches/v1_0_maint/lib/matplotlib/mlab.py	2010年08月13日 18:23:33 UTC (rev 8627)
@@ -785,7 +785,7 @@
 - *fracVar* : the fraction of the variance accounted for by each
 component returned
 
- A similar function of the same name was in the MATLAB 
+ A similar function of the same name was in the MATLAB
 R13 Neural Network Toolbox but is not found in later versions;
 its successor seems to be called "processpcs".
 """
@@ -2108,7 +2108,7 @@
 - *checkrows*: is the number of rows to check to validate the column
 data type. When set to zero all rows are validated.
 
- - *converted*: if not *None*, is a dictionary mapping column number or
+ - *converterd*: if not *None*, is a dictionary mapping column number or
 munged column name to a converter function.
 
 - *names*: if not None, is a list of header names. In this case, no
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Revision: 8696
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8696&view=rev
Author: ryanmay
Date: 2010年09月11日 19:02:38 +0000 (2010年9月11日)
Log Message:
-----------
Fix typo in griddata().
Modified Paths:
--------------
 branches/v1_0_maint/lib/matplotlib/mlab.py
Modified: branches/v1_0_maint/lib/matplotlib/mlab.py
===================================================================
--- branches/v1_0_maint/lib/matplotlib/mlab.py	2010年09月10日 16:46:04 UTC (rev 8695)
+++ branches/v1_0_maint/lib/matplotlib/mlab.py	2010年09月11日 19:02:38 UTC (rev 8696)
@@ -2719,7 +2719,7 @@
 # remove masked points.
 if hasattr(z,'mask'):
 # make sure mask is not a scalar boolean array.
- if a.mask.ndim:
+ if z.mask.ndim:
 x = x.compress(z.mask == False)
 y = y.compress(z.mask == False)
 z = z.compressed()
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