ó
mÜJ]c           @` sÉ   d  Z  d d l m Z m Z m Z m Z d d l Z e j e ƒ Z	 d d l
 m Z d Z e d
 d d d d d ƒZ e d
 d d d d d ƒZ e d
 d d d d d ƒZ e d
 d d d d d ƒZ d S(   u©    Provide a pandas DataFrame instance of four of the datasets from
gapminder.org. The data sets in this module are:

    fertility, life_expectancy, population, regions

i    (   t   absolute_importt   divisiont   print_functiont   unicode_literalsNi   (   t   external_csvu	   fertilityu   life_expectancyu
   populationu   regionsu	   gapminderu   gapminder_fertility.csvt	   index_colu   Countryt   encodingu   utf-8u   gapminder_life_expectancy.csvu   gapminder_population.csvu   gapminder_regions.csv(   u	   fertilityu   life_expectancyu
   populationu   regions(   t   __doc__t
   __future__R    R   R   R   t   loggingt	   getLoggert   __name__t   logt   util.sampledataR   t   __all__t	   fertilityt   life_expectancyt
   populationt   regions(    (    (    s9   lib/python2.7/site-packages/bokeh/sampledata/gapminder.pyt   <module>   s   "   (