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DOC: Update old Google Code and SourceForge links (#13534)
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‎LICENSES/ULTRAJSON_LICENSE

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@@ -25,10 +25,10 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
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http://code.google.com/p/stringencoders/
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https://github.com/client9/stringencoders
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Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
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Numeric decoder derived from from TCL library
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http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
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* Copyright (c) 1988-1993 The Regents of the University of California.
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* Copyright (c) 1994 Sun Microsystems, Inc.
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* Copyright (c) 1994 Sun Microsystems, Inc.

‎README.md

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@@ -170,8 +170,8 @@ conda install pandas
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- [SciPy](http://www.scipy.org): miscellaneous statistical functions
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- [PyTables](http://www.pytables.org): necessary for HDF5-based storage
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- [SQLAlchemy](http://www.sqlalchemy.org): for SQL database support. Version 0.8.1 or higher recommended.
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- [matplotlib](http://matplotlib.sourceforge.net/): for plotting
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- [statsmodels](http://statsmodels.sourceforge.net/)
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- [matplotlib](http://matplotlib.org/): for plotting
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- [statsmodels](http://www.statsmodels.org/)
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- Needed for parts of `pandas.stats`
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- For Excel I/O:
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- [xlrd/xlwt](http://www.python-excel.org/)

‎doc/source/conf.py

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# Example configuration for intersphinx: refer to the Python standard library.
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intersphinx_mapping = {
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'statsmodels': ('http://statsmodels.sourceforge.net/devel/', None),
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'statsmodels': ('http://www.statsmodels.org/devel/', None),
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'matplotlib': ('http://matplotlib.org/', None),
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'python': ('http://docs.python.org/3', None),
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'numpy': ('http://docs.scipy.org/doc/numpy', None),

‎doc/source/ecosystem.rst

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@@ -24,7 +24,7 @@ substantial projects that you feel should be on this list, please let us know.
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Statistics and Machine Learning
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-------------------------------
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`Statsmodels <http://statsmodels.sourceforge.net>`__
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`Statsmodels <http://www.statsmodels.org/>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Statsmodels is the prominent python "statistics and econometrics library" and it has
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qgrid is "an interactive grid for sorting and filtering
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DataFrames in IPython Notebook" built with SlickGrid.
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`Spyder <https://code.google.com/p/spyderlib/>`__
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`Spyder <https://github.com/spyder-ide/spyder/>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Spyder is a cross-platform Qt-based open-source Python IDE with

‎doc/source/index.rst.template

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@@ -92,7 +92,7 @@ Some other notes
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specialized tool.
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- pandas is a dependency of `statsmodels
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<http://statsmodels.sourceforge.net>`__, making it an important part of the
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<http://www.statsmodels.org/stable/index.html>`__, making it an important part of the
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statistical computing ecosystem in Python.
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- pandas has been used extensively in production in financial applications.

‎doc/source/install.rst

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@@ -252,7 +252,7 @@ Optional Dependencies
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- `pymysql <https://github.com/PyMySQL/PyMySQL>`__: for MySQL.
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- `SQLite <https://docs.python.org/3.5/library/sqlite3.html>`__: for SQLite, this is included in Python's standard library by default.
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* `matplotlib <http://matplotlib.sourceforge.net/>`__: for plotting
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* `matplotlib <http://matplotlib.org/>`__: for plotting
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* `openpyxl <http://packages.python.org/openpyxl/>`__, `xlrd/xlwt <http://www.python-excel.org/>`__: Needed for Excel I/O
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* `XlsxWriter <https://pypi.python.org/pypi/XlsxWriter>`__: Alternative Excel writer
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* `Jinja2 <http://jinja.pocoo.org/>`__: Template engine for conditional HTML formatting.
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<http://qt-project.org/wiki/Category:LanguageBindings::PySide>`__, `pygtk
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<http://www.pygtk.org/>`__, `xsel
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<http://www.vergenet.net/~conrad/software/xsel/>`__, or `xclip
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<http://sourceforge.net/projects/xclip/>`__: necessary to use
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<https://github.com/astrand/xclip/>`__: necessary to use
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:func:`~pandas.io.clipboard.read_clipboard`. Most package managers on Linux distributions will have ``xclip`` and/or ``xsel`` immediately available for installation.
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* Google's `python-gflags <http://code.google.com/p/python-gflags/>`__ ,
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* Google's `python-gflags <<https://github.com/google/python-gflags/>`__ ,
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`oauth2client <https://github.com/google/oauth2client>`__ ,
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`httplib2 <http://pypi.python.org/pypi/httplib2>`__
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and `google-api-python-client <http://github.com/google/google-api-python-client>`__

‎doc/source/io.rst

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You will need to install some additional dependencies:
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- Google's `python-gflags <http://code.google.com/p/python-gflags/>`__
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- Google's `python-gflags <https://github.com/google/python-gflags/>`__
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- `httplib2 <http://pypi.python.org/pypi/httplib2>`__
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- `google-api-python-client <http://github.com/google/google-api-python-client>`__
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‎doc/source/r_interface.rst

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comparison to the ones in pandas, please report this at the
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`issue tracker <https://github.com/pydata/pandas/issues>`_.
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See also the documentation of the `rpy2 <http://rpy.sourceforge.net/>`__ project.
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See also the documentation of the `rpy2 <http://rpy2.bitbucket.org/>`__ project.
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R interface with rpy2

‎doc/source/release.rst

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modules are deprecated. We refer users to external packages like
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`seaborn <http://stanford.edu/~mwaskom/software/seaborn/>`_,
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`pandas-qt <https://github.com/datalyze-solutions/pandas-qt>`_ and
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`rpy2 <http://rpy.sourceforge.net/>`_ for similar or equivalent
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`rpy2 <http://rpy2.bitbucket.org/>`_ for similar or equivalent
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functionality, see :ref:`here <whatsnew_0160.deprecations>`
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See the :ref:`v0.16.0 Whatsnew <whatsnew_0160>` overview or the issue tracker on GitHub for an extensive list

‎doc/source/whatsnew/v0.13.0.txt

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# Your Google BigQuery Project ID
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# To find this, see your dashboard:
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# https://code.google.com/apis/console/b/0/?noredirect
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# https://console.developers.google.com/iam-admin/projects?authuser=0
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projectid = xxxxxxxxx;
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df = gbq.read_gbq(query, project_id = projectid)

‎doc/source/whatsnew/v0.16.0.txt

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modules are deprecated. We refer users to external packages like
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`seaborn <http://stanford.edu/~mwaskom/software/seaborn/>`_,
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`pandas-qt <https://github.com/datalyze-solutions/pandas-qt>`_ and
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`rpy2 <http://rpy.sourceforge.net/>`_ for similar or equivalent
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`rpy2 <http://rpy2.bitbucket.org/>`_ for similar or equivalent
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functionality, see :ref:`here <whatsnew_0160.deprecations>`
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Check the :ref:`API Changes <whatsnew_0160.api>` and :ref:`deprecations <whatsnew_0160.deprecations>` before updating.
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We refer users to the external package `pandas-qt <https://github.com/datalyze-solutions/pandas-qt>`_. (:issue:`9615`)
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- The ``pandas.rpy`` interface is deprecated and will be removed in a future version.
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Similar functionaility can be accessed thru the `rpy2 <http://rpy.sourceforge.net/>`_ project (:issue:`9602`)
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Similar functionaility can be accessed thru the `rpy2 <http://rpy2.bitbucket.org/>`_ project (:issue:`9602`)
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- Adding ``DatetimeIndex/PeriodIndex`` to another ``DatetimeIndex/PeriodIndex`` is being deprecated as a set-operation. This will be changed to a ``TypeError`` in a future version. ``.union()`` should be used for the union set operation. (:issue:`9094`)
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- Subtracting ``DatetimeIndex/PeriodIndex`` from another ``DatetimeIndex/PeriodIndex`` is being deprecated as a set-operation. This will be changed to an actual numeric subtraction yielding a ``TimeDeltaIndex`` in a future version. ``.difference()`` should be used for the differencing set operation. (:issue:`9094`)

‎doc/source/whatsnew/v0.8.0.txt

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objects. While I recommend that you plot time series using ``TimeSeries.plot``,
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you can either use ``to_pydatetime`` or register a converter for the Timestamp
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type. See `matplotlib documentation
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<http://matplotlib.sourceforge.net/api/units_api.html>`__ for more on this.
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<http://matplotlib.org/api/units_api.html>`__ for more on this.
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.. warning::
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‎doc/sphinxext/numpydoc/phantom_import.py

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can be used to get the current docstrings from a Pydocweb instance
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without needing to rebuild the documented module.
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.. [1] http://code.google.com/p/pydocweb
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.. [1] https://github.com/pv/pydocweb
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from __future__ import division, absolute_import, print_function

‎pandas/io/auth.py

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%s
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with information from the APIs Console <https://code.google.com/apis/console>.
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with information from the APIs Console
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<https://console.developers.google.com/iam-admin/projects>.
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"""
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DOC_URL = ('https://developers.google.com/api-client-library/python/guide/'

‎pandas/io/ga.py

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"""
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1. Goto https://code.google.com/apis/console
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1. Goto https://console.developers.google.com/iam-admin/projects
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2. Create new project
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3. Goto APIs and register for OAuth2.0 for installed applications
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4. Download JSON secret file and move into same directory as this file

‎pandas/io/stata.py

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a once again improved version.
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You can find more information on http://presbrey.mit.edu/PyDTA and
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http://statsmodels.sourceforge.net/devel/
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http://www.statsmodels.org/devel/
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"""
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import numpy as np
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‎pandas/src/klib/khash.h

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* The capacity is a power of 2. This seems to dramatically improve the
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speed for simple keys. Thank Zilong Tan for the suggestion. Reference:
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- http://code.google.com/p/ulib/
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- https://github.com/stefanocasazza/ULib
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- http://nothings.org/computer/judy/
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* Allow to optionally use linear probing which usually has better

‎pandas/src/ujson/lib/ultrajson.h

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Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
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http://code.google.com/p/stringencoders/
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https://github.com/client9/stringencoders
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Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
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Numeric decoder derived from from TCL library

‎pandas/src/ujson/lib/ultrajsondec.c

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http://code.google.com/p/stringencoders/
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https://github.com/client9/stringencoders
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Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
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Numeric decoder derived from from TCL library

‎pandas/src/ujson/lib/ultrajsonenc.c

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http://code.google.com/p/stringencoders/
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https://github.com/client9/stringencoders
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Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
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‎pandas/src/ujson/python/JSONtoObj.c

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Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
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http://code.google.com/p/stringencoders/
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https://github.com/client9/stringencoders
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Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
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Numeric decoder derived from from TCL library

‎pandas/src/ujson/python/objToJSON.c

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http://code.google.com/p/stringencoders/
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https://github.com/client9/stringencoders
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Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
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‎pandas/src/ujson/python/py_defines.h

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http://code.google.com/p/stringencoders/
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https://github.com/client9/stringencoders
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Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
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‎pandas/src/ujson/python/ujson.c

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http://code.google.com/p/stringencoders/
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https://github.com/client9/stringencoders
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Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
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‎pandas/src/ujson/python/version.h

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http://code.google.com/p/stringencoders/
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https://github.com/client9/stringencoders
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Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
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‎pandas/stats/fama_macbeth.py

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import warnings
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warnings.warn("The pandas.stats.fama_macbeth module is deprecated and will be "
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"removed in a future version. We refer to external packages "
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"like statsmodels, see here: http://statsmodels.sourceforge.net/stable/index.html",
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"like statsmodels, see here: "
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"http://www.statsmodels.org/stable/index.html",
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FutureWarning, stacklevel=4)
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if dropped_dummies is None:

‎pandas/stats/ols.py

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warnings.warn("The pandas.stats.ols module is deprecated and will be "
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"removed in a future version. We refer to external packages "
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"like statsmodels, see some examples here: http://statsmodels.sourceforge.net/stable/regression.html",
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"like statsmodels, see some examples here: "
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"http://www.statsmodels.org/stable/regression.html",
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FutureWarning, stacklevel=4)
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‎pandas/stats/plm.py

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warnings.warn("The pandas.stats.plm module is deprecated and will be "
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"removed in a future version. We refer to external packages "
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"like statsmodels, see some examples here: http://statsmodels.sourceforge.net/stable/mixed_linear.html",
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"like statsmodels, see some examples here: "
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"http://www.statsmodels.org/stable/mixed_linear.html",
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FutureWarning, stacklevel=4)
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self._x_orig = x
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self._y_orig = y
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import warnings
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warnings.warn("The pandas.stats.plm module is deprecated and will be "
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"removed in a future version. We refer to external packages "
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"like statsmodels, see some examples here: http://statsmodels.sourceforge.net/stable/mixed_linear.html",
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"like statsmodels, see some examples here: "
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"http://www.statsmodels.org/stable/mixed_linear.html",
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FutureWarning, stacklevel=4)
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for attr in self.ATTRIBUTES:

‎pandas/stats/var.py

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warnings.warn("The pandas.stats.var module is deprecated and will be "
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"removed in a future version. We refer to external packages "
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"like statsmodels, see some examples here: http://statsmodels.sourceforge.net/stable/vector_ar.html#var",
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"like statsmodels, see some examples here: "
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"http://www.statsmodels.org/stable/vector_ar.html#var",
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FutureWarning, stacklevel=4)
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‎pandas/util/decorators.py

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# module http://matplotlib.sourceforge.net/users/license.html
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# module http://matplotlib.org/users/license.html
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class Substitution(object):

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