Merge tag 'v0.9.0rc1' into debian

Version 0.9.0 Release Candidate 1

* tag 'v0.9.0rc1': (58 commits)
  RLS: Version 0.9.0 Release Candidate 1
  BLD: add lib depends pandas-dev#1945
  BUG: missing case for assigning DataFrame via ix
  BUG: python 3.1 timedelta compat issue
  BUG: python 3 tzoffset is not hashable
  TST: adds dateutil to travis-ci install commands
  BUG: let selecting multiple columns in DataFrame.__getitem__ work when there are duplicates. close pandas-dev#1943
  BUG: DatetimeConverter does not handle datetime64 arrays properly
  BUG: reindex with axis=1 when setting Series to scalar location, close pandas-dev#1942
  BUG: fix formatting of Timestamps in to_html/IPython notebook. refactor to_html code. close pandas-dev#1940
  ENH: allow single str input to na_values pandas-dev#1944
  TST: when xlrd is not installed skip tests needing it, close pandas-dev#1941
  BUG: DatetimeIndex localizes twice if input is localized DatetimeIndex pandas-dev#1838
  BUG: align input on setting via ix pandas-dev#1630
  cython methods for group bins pandas-dev#1809
  BUG: allow non-numeric columns in groupby first/last pandas-dev#1809
  TST: skip unicode filename test if system requires encoding to ascii
  BUG: more fixedoffset occurrences pandas-dev#1928
  BUG: no zone in tzinfo pandas-dev#1838
  BUG: handle lists too in DataFrame.xs when partially selecting data from DataFrame. close pandas-dev#1796
  ...

Author: yarikoptic

.travis.yml

@@ -9,7 +9,7 @@ python:
 
 install:
   - "if [[ $TRAVIS_PYTHON_VERSION == '2.5' ]]; then pip install --use-mirrors simplejson; fi"
-  - pip install --use-mirrors cython numpy nose pytz
+  - pip install --use-mirrors cython numpy nose pytz python-dateutil
 
 script:
   - python setup.py build_ext install

LICENSE

@@ -1,9 +1,14 @@
-======================
-PANDAS LICENSING TERMS
-======================
+=======
+License
+=======
 
-pandas is licensed under the BSD 3-Clause (also known as "BSD New" or 
-"BSD Simplified"), as follows:
+pandas is distributed under a 3-clause ("Simplified" or "New") BSD
+license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have
+BSD-compatible licenses, are included. Their licenses follow the pandas
+license.
+
+pandas license
+==============
 
 Copyright (c) 2011-2012, Lambda Foundry, Inc. and PyData Development Team
 All rights reserved.
@@ -67,7 +72,7 @@ a record of what changes/contributions they have specific copyright on,
 they should indicate their copyright in the commit message of the change
 when they commit the change to one of the PyData repositories.
 
-With this in mind, the following banner should be used in any source code 
+With this in mind, the following banner should be used in any source code
 file to indicate the copyright and license terms:
 
 #-----------------------------------------------------------------------------
@@ -77,4 +82,107 @@ file to indicate the copyright and license terms:
 # Distributed under the terms of the BSD Simplified License.
 #
 # The full license is in the LICENSE file, distributed with this software.
-#-----------------------------------------------------------------------------
+#-----------------------------------------------------------------------------
+
+NumPy license
+-------------
+
+Copyright (c) 2005-2012, NumPy Developers.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+      notice, this list of conditions and the following disclaimer.
+
+    * Redistributions in binary form must reproduce the above
+      copyright notice, this list of conditions and the following
+      disclaimer in the documentation and/or other materials provided
+      with the distribution.
+
+    * Neither the name of the NumPy Developers nor the names of any
+      contributors may be used to endorse or promote products derived
+      from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+itions of this License Agreement.
+
+
+SciPy license
+-------------
+
+Copyright (c) 2001, 2002 Enthought, Inc.
+All rights reserved.
+
+Copyright (c) 2003-2012 SciPy Developers.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+  a. Redistributions of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+  b. Redistributions in binary form must reproduce the above copyright
+     notice, this list of conditions and the following disclaimer in the
+     documentation and/or other materials provided with the distribution.
+  c. Neither the name of the Enthought nor the names of its contributors
+     may be used to endorse or promote products derived from this software
+     without specific prior written permission.
+
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
+OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
+DAMAGE.
+
+numpydoc license
+----------------
+
+The numpydoc license is in pandas/doc/sphinxext/LICENSE.txt
+
+Bottleneck license
+------------------
+
+Copyright (c) 2010-2012 Archipel Asset Management AB.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+    * Redistributions of source code must retain the above copyright notice,
+      this list of conditions and the following disclaimer.
+
+    * Redistributions in binary form must reproduce the above copyright
+      notice, this list of conditions and the following disclaimer in the
+      documentation and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
+LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.

NP_LICENSE.txt

@@ -63,7 +63,7 @@ Dependencies
 ============
 
   * `NumPy <http://www.numpy.org>`__: 1.6.1 or higher
-  * `python-dateutil <http://labix.org/python-dateutil>`__ 1.5
+  * `python-dateutil <http://labix.org/python-dateutil>`__ 1.5 or higher
 
 Optional dependencies
 ~~~~~~~~~~~~~~~~~~~~~

README.rst

@@ -35,7 +35,7 @@ pandas 0.9.0
   - Add Options class to pandas.io.data for fetching options data from Yahoo!
     Finance (#1748, #1739)
   - Recognize and convert more boolean values in file parsing (Yes, No, TRUE,
-    FALSE, variants thereof) (#1691)
+    FALSE, variants thereof) (#1691, #1295)
 
 **Improvements to existing features**
 
@@ -46,6 +46,16 @@ pandas 0.9.0
   - Add args/kwds options to Series.apply (#1829)
   - Add inplace option to Series/DataFrame.reset_index (#1797)
   - Add quoting option for DataFrame.to_csv (#1902)
+  - Indicate long column value truncation in DataFrame output with ... (#1854)
+  - DataFrame.dot will not do data alignment, and also work with Series (#1915)
+  - Add ``na`` option for missing data handling in some vectorized string
+    methods (#1689)
+  - If index_label=False in DataFrame.to_csv, do not print fields/commas in the
+    text output. Results in easier importing into R (#1583)
+  - Can pass tuple/list of axes to DataFrame.dropna to simplify repeated calls
+    (dropping both columns and rows) (#924)
+  - Improve DataFrame.to_html output for hierarchically-indexed rows (do not
+    repeat levels) (#1929)
 
 **API Changes**
 
@@ -56,6 +66,12 @@ pandas 0.9.0
     transposed. Legacy files will still be readable by HDFStore (#1834, #1824)
   - Legacy cruft removed: pandas.stats.misc.quantileTS
   - Use ISO8601 format for Period repr: monthly, daily, and on down (#1776)
+  - 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) (#1783)
+  - Setting parts of DataFrame/Panel using ix now aligns input Series/DataFrame
+    (#1630)
 
 **Bug fixes**
 
@@ -161,6 +177,32 @@ pandas 0.9.0
   - Fix unicode sheet name failure in to_excel (#1828)
   - Override DatetimeIndex.min/max to return Timestamp objects (#1895)
   - Fix column name formatting issue in length-truncated column (#1906)
+  - Fix broken handling of copying Index metadata to new instances created by
+    view(...) calls inside the NumPy infrastructure
+  - Support datetime.date again in DateOffset.rollback/rollforward
+  - Raise Exception if set passed to Series constructor (#1913)
+  - Add TypeError when appending HDFStore table w/ wrong index type (#1881)
+  - Don't raise exception on empty inputs in EW functions (e.g. ewma) (#1900)
+  - Make asof work correctly with PeriodIndex (#1883)
+  - Fix extlinks in doc build
+  - Fill boolean DataFrame with NaN when calling shift (#1814)
+  - Fix setuptools bug causing pip not to Cythonize .pyx files sometimes
+  - Fix negative integer indexing regression in .ix from 0.7.x (#1888)
+  - Fix error while retrieving timezone and utc offset from subclasses of
+    datetime.tzinfo without .zone and ._utcoffset attributes (#1922)
+  - Fix DataFrame formatting of small, non-zero FP numbers (#1911)
+  - Various fixes by upcasting of date -> datetime (#1395)
+  - Raise better exception when passing multiple functions with the same name,
+    such as lambdas, to GroupBy.aggregate
+  - Fix DataFrame.apply with axis=1 on a non-unique index (#1878)
+  - Proper handling of Index subclasses in pandas.unique (#1759)
+  - Set index names in DataFrame.from_records (#1744)
+  - Fix time series indexing error with duplicates, under and over hash table
+    size cutoff (#1821)
+  - Handle list keys in addition to tuples in DataFrame.xs when
+    partial-indexing a hierarchically-indexed DataFrame (#1796)
+  - Support multiple column selection in DataFrame.__getitem__ with duplicate
+    columns (#1943)
 
 pandas 0.8.1
 ============

RELEASE.rst

@@ -76,6 +76,9 @@ 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
@@ -116,7 +119,6 @@ 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/io.rst

@@ -29,7 +29,7 @@ def match(to_match, values, na_sentinel=-1):
     -------
     match : ndarray of integers
     """
-    values = np.asarray(values)
+    values = com._asarray_tuplesafe(values)
     if issubclass(values.dtype.type, basestring):
         values = np.array(values, dtype='O')
 

pandas/core/algorithms.py

@@ -681,8 +681,12 @@ def intersection(*seqs):
     return type(seqs[0])(list(result))
 
 def _asarray_tuplesafe(values, dtype=None):
+    from pandas.core.index import Index
+
     if not isinstance(values, (list, tuple, np.ndarray)):
         values = list(values)
+    elif isinstance(values, Index):
+        return values.values
 
     if isinstance(values, list) and dtype in [np.object_, object]:
         return lib.list_to_object_array(values)
@@ -771,6 +775,8 @@ def is_float_dtype(arr_or_dtype):
         tipo = arr_or_dtype.dtype.type
     return issubclass(tipo, np.floating)
 
+def is_list_like(arg):
+    return hasattr(arg, '__iter__') and not isinstance(arg, basestring)
 
 _ensure_float64 = _algos.ensure_float64
 _ensure_int64 = _algos.ensure_int64