I have the following problem: I have a dataset with a float index that I want to group and plot. If I'm using integer indices it works, with floats it doesn't. Here is the minimal example that once works and once not. I'm testing with the current master. Am I doing something wrong?
This code snippet fails:
import pandas as pd
import numpy as np
test = pd.DataFrame({'def': [1,1,1,2,2,2,3,3,3], 'val': np.random.randn(9)}, index=[1.0,2.0,3.0,1.0,2.0,3.0,1.0,2.0,3.0])
test.groupby('def')['val'].plot()
While this works:
# This Works
test = pd.DataFrame({'def': [1,1,1,2,2,2,3,3,3], 'val': np.random.randn(9)}, index= [1,2,3,1,2,3,1,2,3])
test.groupby('def')['val'].plot()
The error I get is:
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
<ipython-input-83-e50f1a9b07c6> in <module>()
----> 1 test.groupby('def')['val'].plot()
/Library/Python/2.7/site-packages/pandas-0.13.1_758_g4a67608-py2.7-macosx-10.9-intel.egg/pandas/core/groupby.pyc in __getattr__(self, attr)
452 if attr in self._internal_names_set:
453 return object.__getattribute__(self, attr)
--> 454 if attr in self.obj:
455 return self[attr]
456
/Library/Python/2.7/site-packages/pandas-0.13.1_758_g4a67608-py2.7-macosx-10.9-intel.egg/pandas/core/series.pyc in __contains__(self, key)
379
380 def __contains__(self, key):
--> 381 return key in self.index
382
383 # complex
/Library/Python/2.7/site-packages/pandas-0.13.1_758_g4a67608-py2.7-macosx-10.9-intel.egg/pandas/core/index.pyc in __contains__(self, other)
2042 try:
2043 # if other is a sequence this throws a ValueError
-> 2044 return np.isnan(other) and self._hasnans
2045 except ValueError:
2046 try:
NotImplementedError: Not implemented for this type
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