linux install pandas

First, install dependencies

Pandas requires a number of other Python libraries to be installed. To install them, if you are running Debian or Ubuntu, run the following command:

sudo apt-get install python-numpy cython

This will install a fast numeric processing library (numpy) and a tool required in the pandas build process (cython).

Test numpy

Open up a Python prompt by running the following:

python

At the prompt, type the following:

 >>> import numpy
 >>> print numpy.__version__

You should see a number like "1.6.1" or higher. If you see an older version, like "1.5.1", you need to get help from a staff member to set up a "virtualenv."

Test cython

Open up a Python prompt by running the following:

python

At the prompt, type the following (capitalization matters!):

 >>> import Cython
 >>> print Cython.__version__

You should see a number like "0.15.1" or higher. If you see an older version, like "0.14.1", you need to get help from a staff member to set up a "virtualenv."

Download pandas

We recommend storing pandas in a directory called ''projects'' in your user directory. To do that, run the following commands:

mkdir -p ~/projects
cd ~/projects
git clone https://github.com/pydata/pandas.git
cd pandas

You will see git download pandas. Once the download finishes, and you get your prompt back, proceed to the next step.

Installing Pandas inside the VirtualEnv

Alternatively, if you would like to create a development sandbox environment, we recommend installing Pandas inside the VirtualEnv. Instructions to create a virtualenv are here: http://virtualenvwrapper.readthedocs.org/en/latest/command_ref.html

Next, you must 'cd' (change directory) into the '/Env' located in /path/to/home/. To do that, run the following commands:

cd Envs/
export WORKON_HOME=~/Envs
mkdir -p $WORKON_HOME
mkvirtualenv pandas

Then, 'cd' into the '/pandas' directory and follow the installation instructions on this page: http://pandas.pydata.org/pandas-docs/stable/install.html You will need to install all the dependencies inside the Env.

Build pandas

To build pandas, you have to run the following two commands:

python setup.py build_ext --inplace

This will take about 2 minutes. Once it is finished, run this command:

python setup.py build

This will also take about 2 minutes.

Test pandas

To make sure it has built properly, run the following command inside the pandas directory:

python

Within this python prompt, type:

 >>> import pandas
 >>> print pandas.__version__

You should see this version number: '''0.10.0b1'''. If you see something different, get help from an instructor.

Install ipython

''ipython'' is an enhanced interactive Python shell that will be used during the lecture. To install it, run:

sudo apt-get install ipython

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