(GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup client secrets (GH2687). • Fixed groupby bug resulting in segfault when passing in MultiIndex (GH2706) cases (i.e. when getting slices, etc.), regression from prior versions • Friendlier error message in setup.py if NumPy not installed • Use common set of NA-handling operations (sum, mean, etc.) in Panel class and compiled / installed like so: git clone git://github.com/pydata/pandas.git cd pandas python setup.py install Make sure you have Cython installed when installing from the repository, rather then a

cases (i.e. when getting slices, etc.), regression from prior versions • Friendlier error message in setup.py if NumPy not installed • Use common set of NA-handling operations (sum, mean, etc.) in Panel class and compiled / installed like so: git clone git://github.com/pydata/pandas.git cd pandas python setup.py install On Windows, I suggest installing the MinGW compiler suite following the directions linked above. Once configured property, run the following on the command line: python setup.py build --compiler=mingw32 python setup.py install Note that you will not be able to import pandas if you open an interpreter

cases (i.e. when getting slices, etc.), regression from prior versions • Friendlier error message in setup.py if NumPy not installed • Use common set of NA-handling operations (sum, mean, etc.) in Panel class and compiled / installed like so: git clone git://github.com/pydata/pandas.git cd pandas python setup.py install On Windows, I suggest installing the MinGW compiler suite following the directions linked above. Once configured property, run the following on the command line: python setup.py build --compiler=mingw32 python setup.py install Note that you will not be able to import pandas if you open an interpreter

cases (i.e. when getting slices, etc.), regression from prior versions • Friendlier error message in setup.py if NumPy not installed • Use common set of NA-handling operations (sum, mean, etc.) in Panel class and compiled / installed like so: git clone git://github.com/pydata/pandas.git cd pandas python setup.py install On Windows, I suggest installing the MinGW compiler suite following the directions linked above. Once configured property, run the following on the command line: python setup.py build --compiler=mingw32 python setup.py install Note that you will not be able to import pandas if you open an interpreter

Pickling. • Refactor of series.py/frame.py/panel.py to move common code to generic.py – added _setup_axes to created generic NDFrame structures – moved methods 1.2. v0.13.0 (January 3, 2014) 31 pandas: (GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup client secrets (GH2687). • Fixed groupby bug resulting in segfault when passing in MultiIndex (GH2706) cases (i.e. when getting slices, etc.), regression from prior versions • Friendlier error message in setup.py if NumPy not installed • Use common set of NA-handling operations (sum, mean, etc.) in Panel class

Pickling. • Refactor of series.py/frame.py/panel.py to move common code to generic.py – added _setup_axes to created generic NDFrame structures – moved methods * from_axes,_wrap_array,axes,ix,loc,iloc (GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup client secrets (GH2687). • Fixed groupby bug resulting in segfault when passing in MultiIndex (GH2706) cases (i.e. when getting slices, etc.), regression from prior versions • Friendlier error message in setup.py if NumPy not installed • Use common set of NA-handling operations (sum, mean, etc.) in Panel class

Pickling. • Refactor of series.py/frame.py/panel.py to move common code to generic.py – added _setup_axes to created generic NDFrame structures – moved methods * from_axes,_wrap_array,axes,ix,loc,iloc (GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup client secrets (GH2687). • Fixed groupby bug resulting in segfault when passing in MultiIndex (GH2706) cases (i.e. when getting slices, etc.), regression from prior versions • Friendlier error message in setup.py if NumPy not installed • Use common set of NA-handling operations (sum, mean, etc.) in Panel class

Pickling. • Refactor of series.py/frame.py/panel.py to move common code to generic.py – added _setup_axes to created generic NDFrame structures – moved methods * from_axes,_wrap_array,axes,ix,loc,iloc (GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup client secrets (GH2687). • Fixed groupby bug resulting in segfault when passing in MultiIndex (GH2706) cases (i.e. when getting slices, etc.), regression from prior versions • Friendlier error message in setup.py if NumPy not installed • Use common set of NA-handling operations (sum, mean, etc.) in Panel class

where repeated plotting of DataFrame with a DatetimeIndex may raise TypeError (GH9852) • Bug in setup.py that would allow an incompat cython version to build (GH9827) • Bug in plotting secondary_y incorrectly Pickling. • Refactor of series.py/frame.py/panel.py to move common code to generic.py – added _setup_axes to created generic NDFrame structures – moved methods * from_axes,_wrap_array,axes,ix,loc,iloc (GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup client secrets (GH2687). • Fixed groupby bug resulting in segfault when passing in MultiIndex (GH2706)

pytest-3.6.0, py-1.4.34, pluggy-0.4.0 rootdir: C:\Users\TP\Documents\Python\pandasdev\pandas, inifile: setup.cfg collected 12145 items / 3 skipped .......................................................... However, if the function needs to be called in a chain, consider using the pipe() method. First some setup: In [142]: def extract_city_name(df): .....: """ .....: Chicago, IL -> Chicago for city_name column Once you’ve found an interesting issue, you can return here to get your development environment setup. When you start working on an issue, it’s a good idea to assign the issue to yourself, so nobody