Merge commit 'v0.9.0rc1-14-g1a4f041' into debian

* commit 'v0.9.0rc1-14-g1a4f041':
  DOC: add release notes to whatsnew
  Release notes and addition to test case for tzlocal
  BUG: errors when tz is tzlocal
  Add skip_footer to ExcelFile.parse and alias skipfooter/skip_footer
  revert skip_footer API change. use nrows instead
  ENH: between_time across midnight pandas-dev#1871
  BUG: DataFrame.reset_index failure if both drop and level are present pandas-dev#1957

Author: yarikoptic

RELEASE.rst

@@ -56,6 +56,9 @@ pandas 0.9.0
     (dropping both columns and rows) (#924)
   - Improve DataFrame.to_html output for hierarchically-indexed rows (do not
     repeat levels) (#1929)
+  - TimeSeries.between_time can now select times across midnight (#1871)
+  - Enable `skip_footer` parameter in `ExcelFile.parse` (#1843)
+  - Enable `skipfooter` parameter in text parsers as an alias for `skip_footer`
 
 **API Changes**
 
@@ -72,6 +75,11 @@ pandas 0.9.0
     results) (#1783)
   - Setting parts of DataFrame/Panel using ix now aligns input Series/DataFrame
     (#1630)
+  - `first` and `last` methods in `GroupBy` no longer drop non-numeric columns
+    (#1809)
+  - Resolved inconsistencies in specifying custom NA values in text parser.
+    `na_values` of type dict no longer override default NAs unless
+    `keep_default_na` is set to false explicitly (#1657)
 
 **Bug fixes**
 
@@ -80,7 +88,7 @@ pandas 0.9.0
   - Fix matplotlib auto-color assignment when no custom spectrum passed. Also
     respect passed color keyword argument (#1711)
   - Fix resampling logical error with closed='left' (#1726)
-  - Fix critical DatetimeIndex.union bugs (#1730, #1719, #1745, #1702)
+  - Fix critical DatetimeIndex.union bugs (#1730, #1719, #1745, #1702, #1753)
   - Fix critical DatetimeIndex.intersection bug with unanchored offsets (#1708)
   - Fix MM-YYYY time series indexing case (#1672)
   - Fix case where Categorical group key was not being passed into index in
@@ -138,7 +146,8 @@ pandas 0.9.0
   - Fix error when window size > array size in rolling_apply (#1850)
   - Fix pip source installation issues via SSH from GitHub
   - Fix OLS.summary when column is a tuple (#1837)
-  - Fix bug in __doc__ patching when -OO passed to interpreter (#1792, #1741)
+  - Fix bug in __doc__ patching when -OO passed to interpreter
+    (#1792 #1741 #1774)
   - Fix unicode console encoding issue in IPython notebook (#1782, #1768)
   - Fix unicode formatting issue with Series.name (#1782)
   - Fix bug in DataFrame.duplicated with datetime64 columns (#1833)
@@ -205,6 +214,26 @@ pandas 0.9.0
     columns (#1943)
   - Fix time zone localization bug causing improper fields (e.g. hours) in time
     zones that have not had a UTC transition in a long time (#1946)
+  - Fix errors when parsing and working with with fixed offset timezones
+    (#1922, #1928)
+  - Fix text parser bug when handling UTC datetime objects generated by
+    dateutil (#1693)
+  - Fix plotting bug when 'B' is the inferred frequency but index actually
+    contains weekends (#1668, #1669)
+  - Fix plot styling bugs (#1666, #1665, #1658)
+  - Fix plotting bug with index/columns with unicode (#1685)
+  - Fix DataFrame constructor bug when passed Series with datetime64 dtype
+    in a dict (#1680)
+  - Fixed regression in generating DatetimeIndex using timezone aware
+    datetime.datetime (#1676)
+  - Fix DataFrame bug when printing concatenated DataFrames with duplicated
+    columns (#1675)
+  - Fixed bug when plotting time series with multiple intraday frequencies
+    (#1732)
+  - Fix bug in DataFrame.duplicated to enable iterables other than list-types
+    as input argument (#1773)
+  - Fix resample bug when passed list of lambdas as `how` argument (#1808)
+
 
 pandas 0.8.1
 ============

doc/source/io.rst

@@ -76,9 +76,6 @@ data into a DataFrame object. They can take a number of arguments:
     Defaults to 0 (first row); specify None if there is no header row.
   - ``skiprows``: A collection of numbers for rows in the file to skip. Can
     also be an integer to skip the first ``n`` rows
-  - ``skip_footer``: Lines at bottom of file to skip. If >0 then indicates the
-    row to start skipping. If <0 then skips the specified number of rows from
-    the end.
   - ``index_col``: column number, column name, or list of column numbers/names,
     to use as the ``index`` (row labels) of the resulting DataFrame. By default,
     it will number the rows without using any column, unless there is one more
@@ -119,6 +116,7 @@ data into a DataFrame object. They can take a number of arguments:
   - ``chunksize``: An number of rows to be used to "chunk" a file into
     pieces. Will cause an ``TextParser`` object to be returned. More on this
     below in the section on :ref:`iterating and chunking <io.chunking>`
+  - ``skip_footer``: number of lines to skip at bottom of file (default 0)
   - ``converters``: a dictionary of functions for converting values in certain
     columns, where keys are either integers or column labels
   - ``encoding``: a string representing the encoding to use if the contents are

doc/source/v0.9.0.txt

@@ -0,0 +1,65 @@
+.. _whatsnew_0900:
+
+v0.9.0 (September 25, 2012)
+---------------------------
+
+This is a major release from 0.8.1 and includes several new features and
+enhancements along with a large number of bug fixes. New features include
+vectorized unicode encoding/decoding for `Series.str`, `to_latex` method to
+DataFrame, more flexible parsing of boolean values, and enabling the download of
+options data from Yahoo! Finance.
+
+New features
+~~~~~~~~~~~~
+
+  - Add ``encode`` and ``decode`` for unicode handling to :ref:`vectorized
+    string processing methods <basics.string_methods>` in Series.str  (GH1706_)
+  - Add ``DataFrame.to_latex`` method (GH1735_)
+  - Add convenient expanding window equivalents of all rolling_* ops (GH1785_)
+  - Add Options class to pandas.io.data for fetching options data from Yahoo!
+    Finance (GH1748_, GH1739_)
+  - More flexible parsing of boolean values (Yes, No, TRUE, FALSE, etc)
+    (GH1691_, GH1295_)
+
+API changes
+~~~~~~~~~~~
+
+  - Deprecated ``day_of_year`` API removed from PeriodIndex, use ``dayofyear``
+    (GH1723_)
+  - Don't modify NumPy suppress printoption at import time
+  - The internal HDF5 data arrangement for DataFrames has been transposed.
+    Legacy files will still be readable by HDFStore (GH1834_, GH1824_)
+  - Legacy cruft removed: pandas.stats.misc.quantileTS
+  - Use ISO8601 format for Period repr: monthly, daily, and on down (GH1776_)
+  - Empty DataFrame columns are now created as object dtype. This will prevent
+    a class of TypeErrors that was occurring in code where the dtype of a
+    column would depend on the presence of data or not (e.g. a SQL query having
+    results) (GH1783_)
+  - Setting parts of DataFrame/Panel using ix now aligns input Series/DataFrame
+    (GH1630_)
+  - ``first`` and ``last`` methods in ``GroupBy`` no longer drop non-numeric
+    columns (GH1809_)
+  - Resolved inconsistencies in specifying custom NA values in text parser.
+    `na_values` of type dict no longer override default NAs unless
+    `keep_default_na` is set to false explicitly (GH1657_)
+
+
+See the `full release notes
+<https://github.com/pydata/pandas/blob/master/RELEASE.rst>`__ or issue tracker
+on GitHub for a complete list.
+
+.. _GH1706: https://github.com/pydata/pandas/issues/1706
+.. _GH1735: https://github.com/pydata/pandas/issues/1735
+.. _GH1785: https://github.com/pydata/pandas/issues/1785
+.. _GH1748: https://github.com/pydata/pandas/issues/1748
+.. _GH1739: https://github.com/pydata/pandas/issues/1739
+.. _GH1691: https://github.com/pydata/pandas/issues/1691
+.. _GH1295: https://github.com/pydata/pandas/issues/1295
+.. _GH1723: https://github.com/pydata/pandas/issues/1723
+.. _GH1834: https://github.com/pydata/pandas/issues/1834
+.. _GH1824: https://github.com/pydata/pandas/issues/1824
+.. _GH1776: https://github.com/pydata/pandas/issues/1776
+.. _GH1783: https://github.com/pydata/pandas/issues/1783
+.. _GH1630: https://github.com/pydata/pandas/issues/1630
+.. _GH1809: https://github.com/pydata/pandas/issues/1809
+.. _GH1657: https://github.com/pydata/pandas/issues/1657

doc/source/whatsnew.rst

@@ -16,6 +16,8 @@ What's New
 
 These are new features and improvements of note in each release.
 
+.. include:: v0.9.0.txt
+
 .. include:: v0.8.1.txt
 
 .. include:: v0.8.0.txt

pandas/core/frame.py

@@ -2489,17 +2489,18 @@ def _maybe_cast(values):
             return values
 
         new_index = np.arange(len(new_obj))
-        if not drop:
-            if isinstance(self.index, MultiIndex):
+        if isinstance(self.index, MultiIndex):
+            if level is not None:
+                if not isinstance(level, (tuple, list)):
+                    level = [level]
+                level = [self.index._get_level_number(lev) for lev in level]
+                if len(level) < len(self.index.levels):
+                    new_index = self.index.droplevel(level)
+
+            if not drop:
                 names = self.index.names
                 zipped = zip(self.index.levels, self.index.labels)
 
-                if level is not None:
-                    if not isinstance(level, (tuple, list)):
-                        level = [level]
-
-                    level = [self.index._get_level_number(lev) for lev in level]
-
                 for i, (lev, lab) in reversed(list(enumerate(zipped))):
                     col_name = names[i]
                     if col_name is None:
@@ -2510,13 +2511,12 @@ def _maybe_cast(values):
                     if level is None or i in level:
                         new_obj.insert(0, col_name, level_values.take(lab))
 
-                if level is not None and len(level) < len(self.index.levels):
-                    new_index = self.index.droplevel(level)
-            else:
-                name = self.index.name
-                if name is None or name == 'index':
-                    name = 'index' if 'index' not in self else 'level_0'
-                new_obj.insert(0, name, _maybe_cast(self.index.values))
+        elif not drop:
+            name = self.index.name
+            if name is None or name == 'index':
+                name = 'index' if 'index' not in self else 'level_0'
+            new_obj.insert(0, name, _maybe_cast(self.index.values))
+
         new_obj.index = new_index
         return new_obj
 

pandas/core/series.py

@@ -788,7 +788,7 @@ def set_value(self, label, value):
             new_values = np.concatenate([self.values, [value]])
             return Series(new_values, index=new_index, name=self.name)
 
-    def reset_index(self, drop=False, name=None, inplace=False):
+    def reset_index(self, level=None, drop=False, name=None, inplace=False):
         """
         Analogous to the DataFrame.reset_index function, see docstring there.