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 0x1150294d0> In [743]: ts.interpolate().plot(ax=axes[1]) Out[743]: cd0> 114 Chapter 9. Working with missing data pandas: powerful Python data analysis toolkit, Release rpy2 from bitbucket: # if installing for the first time hg clone http://bitbucket.org/lgautier/rpy2 cd rpy2 hg pull hg update sudo python setup.py install Note: To use R packages with this interface, you

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')

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 rpy2 from bitbucket: # if installing for the first time hg clone http://bitbucket.org/lgautier/rpy2 cd rpy2 hg pull hg update sudo python setup.py install Note: To use R packages with this interface, you

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 be obtained with: # if installing for the first time hg clone http://bitbucket.org/lgautier/rpy2 cd rpy2 hg pull hg update version_2.2.x sudo python setup.py install Note: To use R packages with this

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 figure.Figure at 0x907c950> In [22]: ax = df.plot(secondary_y=[’A’, ’B’]) In [23]: ax.set_ylabel(’CD scale’) In [24]: ax.right_ax.set_ylabel(’AB scale’) cd0> In [85]: radviz(data, ’Name’) 16.2. Other plotting

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 Install either Install Anaconda or Install miniconda • Make sure that you have cloned the repository • cd to the pandas source directory Tell conda to create a new environment, named pandas_dev, or any name [72]: series.plot(kind='pie', figsize=(6, 6)) Out[72]: cd248cc> 23.2. Other Plots 703 pandas: powerful Python data analysis toolkit, Release 0.17.0 For pie

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) 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

------------------------- ImportError Traceback (most recent call last) cd2c3> in ----> 1 df.to_parquet('test.parquet', index=False) ~/sandbox/pandas-release/pandas/pandas/core/frame 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')

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 figure.Figure at 0x144caa10> In [23]: ax = df.plot(secondary_y=[’A’, ’B’]) In [24]: ax.set_ylabel(’CD scale’) Out[24]: In [25]: ax.right_ax.set_ylabel(’AB scale’) for the same Trellis structure. In [12]: plt.figure() Out[12]: cd0> In [13]: plot = rplot.RPlot(tips_data, x=’total_bill’, y=’tip’) In [14]: plot.add(rplot.TrellisGrid([’sex’