Revision: 5875
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5875&view=rev
Author: jdh2358
Date: 2008-07-25 17:38:06 +0000 (Fri, 25 Jul 2008)
Log Message:
-----------
cleaned up a few rest doc warnings
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/cbook.py
trunk/matplotlib/lib/matplotlib/figure.py
Modified: trunk/matplotlib/lib/matplotlib/cbook.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/cbook.py 2008-07-25 15:09:08 UTC (rev
5874)
+++ trunk/matplotlib/lib/matplotlib/cbook.py 2008-07-25 17:38:06 UTC (rev
5875)
@@ -1167,10 +1167,6 @@
This is very inefficient linear interpolation meant to be used
only for a small number of points in relatively non-intensive use
cases.
-
- Call signature::
-
- yi = less_simple_linear_interpolation(x,y,xi)
"""
if is_scalar(xi): xi = [xi]
@@ -1348,21 +1344,15 @@
If you just want to see if the array has 1 axis, use X.ndim==1
- Call signature::
- isvector(X)
"""
return np.prod(X.shape)==np.max(X.shape)
def vector_lengths( X, P=2., axis=None ):
"""
Finds the length of a set of vectors in n dimensions. This is
- like the mlab.norm function for vectors, but has the ability to
+ like the numpy norm function for vectors, but has the ability to
work over a particular axis of the supplied array or matrix.
- Call signature::
-
- vector_lengths( X, P=2., axis=None )
-
Computes (sum((x_i)^P))^(1/P) for each {x_i} being the elements of X along
the given axis. If *axis* is *None*, compute over all elements of X.
"""
@@ -1373,10 +1363,6 @@
"""
Computes the distance between a set of successive points in N dimensions.
- Call signature::
-
- distances_along_curve(X)
-
where X is an MxN array or matrix. The distances between successive rows
is computed. Distance is the standard Euclidean distance.
"""
@@ -1387,10 +1373,7 @@
"""
Computes the distance travelled along a polygonal curve in N dimensions.
- Call signature::
- path_length(X)
-
where X is an MxN array or matrix. Returns an array of length M consisting
of the distance along the curve at each point (i.e., the rows of X).
"""
@@ -1403,9 +1386,6 @@
presumably coordinates on a polygonal curve, in which case this function
tests if that curve is closed.
- Call signature::
-
- is_closed_polygon(X)
"""
return np.all(X[0] == X[-1])
Modified: trunk/matplotlib/lib/matplotlib/figure.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/figure.py 2008-07-25 15:09:08 UTC (rev
5874)
+++ trunk/matplotlib/lib/matplotlib/figure.py 2008-07-25 17:38:06 UTC (rev
5875)
@@ -846,9 +846,9 @@
def text(self, x, y, s, *args, **kwargs):
"""
- Call signature:
+ Call signature::
- figtext(x, y, s, fontdict=None, **kwargs)
+ figtext(x, y, s, fontdict=None, **kwargs)
Add text to figure at location *x*, *y* (relative 0-1
coords). See :func:`~matplotlib.pyplot.text` for the meaning
This was sent by the SourceForge.net collaborative development platform, the
world's largest Open Source development site.
-------------------------------------------------------------------------
This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
Build the coolest Linux based applications with Moblin SDK & win great prizes
Grand prize is a trip for two to an Open Source event anywhere in the world
http://moblin-contest.org/redirect.php?banner_id=100&url=/
_______________________________________________
Matplotlib-checkins mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins
