RLS: Version 0.7.0

Author: wesm

doc/make.py

@@ -35,11 +35,21 @@ def upload_dev():
     os.system('cd build/html; rsync -avz . pandas@pandas.pydata.org'
               ':/usr/share/nginx/pandas/pandas-docs/dev/ -essh')
 
+def upload_dev_pdf():
+    'push a copy to the pydata dev directory'
+    os.system('cd build/latex; scp pandas.pdf pandas@pandas.pydata.org'
+              ':/usr/share/nginx/pandas/pandas-docs/dev/')
+
 def upload_stable():
     'push a copy to the pydata dev directory'
     os.system('cd build/html; rsync -avz . pandas@pandas.pydata.org'
               ':/usr/share/nginx/pandas/pandas-docs/stable/ -essh')
 
+def upload_stable_pdf():
+    'push a copy to the pydata dev directory'
+    os.system('cd build/latex; scp pandas.pdf pandas@pandas.pydata.org'
+              ':/usr/share/nginx/pandas/pandas-docs/stable/')
+
 def sfpdf():
     'push a copy to the sf site'
     os.system('cd build/latex; scp pandas.pdf wesmckinn,pandas@web.sf.net'
@@ -96,6 +106,8 @@ def all():
     'html'     : html,
     'upload_dev' : upload_dev,
     'upload_stable' : upload_stable,
+    'upload_dev_pdf' : upload_dev_pdf,
+    'upload_stable_pdf' : upload_stable_pdf,
     'latex'    : latex,
     'clean'    : clean,
     'sf'       : sf,

doc/source/whatsnew/v0.6.1.txt

@@ -43,12 +43,6 @@ Performance improvements
 - Optimize scalar value lookups in the general case by 25% or more in Series
   and DataFrame
 
-.. image:: vbench/figures/series_getitem_scalar.png
-   :width: 6in
-
-.. image:: vbench/figures/datamatrix_getitem_scalar.png
-   :width: 6in
-
 - Fix performance regression in cross-sectional count in DataFrame, affecting
   DataFrame.dropna speed
 - Column deletion in DataFrame copies no data (computes views on blocks) (GH

doc/source/whatsnew/v0.7.0.txt

@@ -241,23 +241,10 @@ Other API Changes
 Performance improvements
 ~~~~~~~~~~~~~~~~~~~~~~~~
 
-:ref:`Cythonized GroupBy aggregations <groupby.aggregate.cython>` no longer
-presort the data, thus achieving a significant speedup (GH93_). Here's a
-graph of the performance of this operation over time on a dataset with 100,000
-rows and 10,000 unique groups:
-
-.. image:: vbench/figures/groupby_multi_cython.png
-   :width: 6in
-
-On this similar vein,
-
-GroupBy aggregations with Python functions significantly sped up by clever
-manipulation of the ndarray data type in Cython (GH496_). Benchmark of a
-similar operation to the above but using a Python function:
-
-.. image:: vbench/figures/groupby_multi_python.png
-   :width: 6in
-
+- :ref:`Cythonized GroupBy aggregations <groupby.aggregate.cython>` no longer
+  presort the data, thus achieving a significant speedup (GH93_).  GroupBy
+  aggregations with Python functions significantly sped up by clever
+  manipulation of the ndarray data type in Cython (GH496_).
 - Better error message in DataFrame constructor when passed column labels
   don't match data (GH497_)
 - Substantially improve performance of multi-GroupBy aggregation when a

setup.py

@@ -147,10 +147,9 @@
 
 DISTNAME = 'pandas'
 LICENSE = 'BSD'
-AUTHOR = "The pandas Development Team"
-MAINTAINER = "Wes McKinney"
-MAINTAINER_EMAIL = "wesmckinn@gmail.com"
-URL = "http://pandas.sourceforge.net"
+AUTHOR = "The PyData Development Team"
+EMAIL = "pystatsmodels@googlegroups.com"
+URL = "http://pandas.pydata.org"
 DOWNLOAD_URL = ''
 CLASSIFIERS = [
     'Development Status :: 4 - Beta',
@@ -167,9 +166,9 @@
 MAJOR = 0
 MINOR = 7
 MICRO = 0
-ISRELEASED = False
+ISRELEASED = True
 VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO)
-QUALIFIER = 'rc1'
+QUALIFIER = ''
 
 FULLVERSION = VERSION
 if not ISRELEASED:
@@ -373,7 +372,7 @@ def srcpath(name=None, suffix='.pyx', subdir='src'):
 write_version_py()
 setup(name=DISTNAME,
       version=FULLVERSION,
-      maintainer=MAINTAINER,
+      maintainer=AUTHOR,
       packages=['pandas',
                 'pandas.core',
                 'pandas.io',
@@ -395,7 +394,7 @@ def srcpath(name=None, suffix='.pyx', subdir='src'):
                     'pandas.tests' : ['data/*.pickle']
                     },
       ext_modules=extensions,
-      maintainer_email=MAINTAINER_EMAIL,
+      maintainer_email=EMAIL,
       description=DESCRIPTION,
       license=LICENSE,
       cmdclass = cmdclass,