In [1]:

    

import vespa


    

    




WARNING:root:PyMultiNest not available; only emcee fits will be possible.
WARNING:root:progressbar not imported

In [3]:

    

import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import vespa
from sklearn.datasets import load_iris

import mpld3
from mpld3 import plugins, utils
%matplotlib inline


    

In [4]:

    

starpop = vespa.MultipleStarPopulation(1)


    

In [28]:

    

starpop.prophist2d('distance','distmod')


    

    




---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-28-d5124a9932f1> in <module>()
----> 1 starpop.prophist2d('distance','distmod')

/Users/ganeshravichandran/anaconda/lib/python2.7/site-packages/VESPA-0.2.5-py2.7-macosx-10.5-x86_64.egg/vespa/stars/populations.pyc in prophist2d(self, propx, propy, mask, logx, logy, fig, selected, **kwargs)
    406             if mask is None:
    407                 mask = np.ones_like(self.stars.index)
--> 408             xvals = self.stars[mask][propx].values
    409             yvals = self.stars[mask][propy].values
    410 

/Users/ganeshravichandran/anaconda/lib/python2.7/site-packages/pandas/core/frame.pyc in __getitem__(self, key)
   1778             return self._getitem_multilevel(key)
   1779         else:
-> 1780             return self._getitem_column(key)
   1781 
   1782     def _getitem_column(self, key):

/Users/ganeshravichandran/anaconda/lib/python2.7/site-packages/pandas/core/frame.pyc in _getitem_column(self, key)
   1790         result = self._constructor(self._data.get(key))
   1791         if result.columns.is_unique:
-> 1792             result = result[key]
   1793 
   1794         return result

/Users/ganeshravichandran/anaconda/lib/python2.7/site-packages/pandas/core/frame.pyc in __getitem__(self, key)
   1778             return self._getitem_multilevel(key)
   1779         else:
-> 1780             return self._getitem_column(key)
   1781 
   1782     def _getitem_column(self, key):

/Users/ganeshravichandran/anaconda/lib/python2.7/site-packages/pandas/core/frame.pyc in _getitem_column(self, key)
   1785         # get column
   1786         if self.columns.is_unique:
-> 1787             return self._get_item_cache(key)
   1788 
   1789         # duplicate columns & possible reduce dimensionaility

/Users/ganeshravichandran/anaconda/lib/python2.7/site-packages/pandas/core/generic.pyc in _get_item_cache(self, item)
   1066         res = cache.get(item)
   1067         if res is None:
-> 1068             values = self._data.get(item)
   1069             res = self._box_item_values(item, values)
   1070             cache[item] = res

/Users/ganeshravichandran/anaconda/lib/python2.7/site-packages/pandas/core/internals.pyc in get(self, item, fastpath)
   2847 
   2848             if not isnull(item):
-> 2849                 loc = self.items.get_loc(item)
   2850             else:
   2851                 indexer = np.arange(len(self.items))[isnull(self.items)]

/Users/ganeshravichandran/anaconda/lib/python2.7/site-packages/pandas/core/index.pyc in get_loc(self, key)
   1400         loc : int if unique index, possibly slice or mask if not
   1401         """
-> 1402         return self._engine.get_loc(_values_from_object(key))
   1403 
   1404     def get_value(self, series, key):

pandas/index.pyx in pandas.index.IndexEngine.get_loc (pandas/index.c:3820)()

pandas/index.pyx in pandas.index.IndexEngine.get_loc (pandas/index.c:3700)()

pandas/hashtable.pyx in pandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:12323)()

pandas/hashtable.pyx in pandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:12274)()

KeyError: 'distance'

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