Sparkling Pandas

Sparkling Pandas aims to make use of the distributed computing power of PySpark to scale the data analysis with Pandas. This is built on Spark's DataFrame and provides API similar to Pandas. This recipe shows how to use Sparkling Pandas.

Getting ready

To step through this recipe, you will need a running Spark Cluster either in pseudo distributed mode or in one of the distributed modes, that is, standalone, YARN, or Mesos. Also, have Python and IPython installed on the Linux machine, that is, Ubuntu 14.04.

How to do it…

1. Install blas, scipy, and sparklingpandas as follows:

        apt-get install libblas-dev liblapack-dev libatlas-base-dev
        gfortran 
        pip install scipy 
        pip install sparklingpandas 
   
   

2. Now import the package as follows:

        import sparklingpandas 
        ipython console -profile=pyspark 
        In [1]: from pyspark import SparkConf, SparkContext, SQLContext 
        In [2]: import pandas as pd 
        In [3]: sqlcontext =...