checked out using git 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 ummary of Estimated Coefficients------------------------ Variable Coef Std Err t-stat p-value CI 2.5% CI 97.5% -------------------------------------------------------------------------------- GOOG 0 ummary of Estimated Coefficients------------------------ Variable Coef Std Err t-stat p-value CI 2.5% CI 97.5% -------------------------------------------------------------------------------- GOOG 0

checked out using git 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 ummary of Estimated Coefficients------------------------ Variable Coef Std Err t-stat p-value CI 2.5% CI 97.5% -------------------------------------------------------------------------------- GOOG 0 ummary of Estimated Coefficients------------------------ Variable Coef Std Err t-stat p-value CI 2.5% CI 97.5% -------------------------------------------------------------------------------- GOOG 0

4, 1000), figsize=(6, 4)) Out[36]: array([[cd4c710>, ], [, cd0>, ]], dtype=object) 610 Chapter 0 Axes> In [124]: ax = df.plot(secondary_y=['A', 'B']) In [125]: ax.set_ylabel('CD scale') Out[125]: Text(0, 0.5, 'CD scale') In [126]: ax.right_ax.set_ylabel('AB scale') Out[126]: Text(0, 0.5, 'AB scale')

AxesSubplot object at 0x7f19f2847490>, cd0>, , , cd0050>, , In [124]: ax = df.plot(secondary_y=['A', 'B']) In [125]: ax.set_ylabel('CD scale') Out[125]: Text(0, 0.5, 'CD scale') In [126]: ax.right_ax.set_ylabel('AB scale') \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\Out[126]:

----------------------------------- NameError Traceback (most recent call last) cd9ac77fc4c4> in ----> 1 data = pd.Series(np.random.randn(1000)) NameError: name 'pd' is not ----------------------------------- NameError Traceback (most recent call last) cd23ec4fcc4a> in ----> 1 ax = df.plot.scatter(x="a", y="b", color="DarkBlue", label="Group 1") ---------------------------- NameError Traceback (most recent call last) cd1aac> in ----> 1 data = pd.Series(np.random.rand(1000)) NameError: name 'pd' is not defined

checked out using git 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 recent call last) in () ----> 1 reindexed[crit] /home/docbuild/CI/pandas/pandas/core/series.pyc in __getitem__(self, key) 636 # special handling of boolean data with 638 if _is_bool_indexer(key): 639 key = _check_bool_indexer(self.index, key) 640 /home/docbuild/CI/pandas/pandas/core/common.pyc in _is_bool_indexer(key) 1236 if not lib.is_bool_array(key): 1237 if

Contributing section has been added. • Even though it may only be of interest to devs, we <3 our new CI status page: ScatterCI. Warning: 0.13.1 fixes a bug that was caused by a combination of having numpy your fork to your machine: git clone https://github.com/your-user-name/pandas.git pandas-yourname cd pandas-yourname git remote add upstream https://github.com/pandas-dev/pandas.git This creates the sure your conda is up to date (conda update conda) • Make sure that you have cloned the repository • cd to the pandas source directory We’ll now kick off a three-step process: 1. Install the build dependencies

----------------------------------- NameError Traceback (most recent call last) cd9ac77fc4c4> in ----> 1 data = pd.Series(np.random.randn(1000)) NameError: name 'pd' is not ---------------------------- NameError Traceback (most recent call last) cd1aac> in ----> 1 data = pd.Series(np.random.rand(1000)) NameError: name 'pd' is not defined ax = df.plot(secondary_y=['A', 'B']) NameError: name 'df' is not defined In [125]: ax.set_ylabel('CD scale') --------------------------------------------------------------------------- NameError Traceback

Contributing section has been added. • Even though it may only be of interest to devs, we <3 our new CI status page: ScatterCI. Warning: 0.13.1 fixes a bug that was caused by a combination of having numpy clone your fork to your machine: git clone git@github.com:your-user-name/pandas.git pandas-yourname cd pandas-yourname git remote add upstream git://github.com/pydata/pandas.git This creates the directory run automatically on Travis-CI once your Pull Request is submitted. However, if you wish to run the test suite on a branch prior to submitting the Pull Request, then Travis-CI needs to be hooked up to your

<= c <= 0.5' In [231]: map(lambda frame: frame.query(expr), [df, df2]) Out[231]: