Closed
Description
In [1]: import pandas as pd
In [2]: pd.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.7.final.0
python-bits: 32
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 30 Stepping 5, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
pandas: 0.14.0
nose: 1.3.3
Cython: 0.20.2
numpy: 1.8.1
scipy: 0.14.0
statsmodels: 0.5.0
IPython: 2.1.0
sphinx: 1.2.2
patsy: 0.2.1
scikits.timeseries: None
dateutil: 1.5
pytz: 2014.4
bottleneck: None
tables: 3.1.1
numexpr: 2.3.1
matplotlib: 1.3.1
openpyxl: 1.8.5
xlrd: 0.9.3
xlwt: 0.7.5
xlsxwriter: 0.5.5
lxml: 3.3.5
bs4: 4.3.1
html5lib: 0.999
bq: None
apiclient: None
rpy2: 2.3.9
sqlalchemy: 0.9.4
pymysql: None
psycopg2: 2.5.3 (dt dec pq3 ext)
In [3]: s = pd.TimeSeries(1, [pd.Period('2002-01-01',freq='D')])
In [4]: s[[0]]
Out[4]:
2002-01-01 1
Freq: D, dtype: int64
In [5]: s[[pd.Period('2002-01-01',freq='D')]]
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-5-0e636383b52c> in <module>()
----> 1 s[[pd.Period('2002-01-01',freq='D')]]
C:\Python27\lib\site-packages\pandas\core\series.pyc in __getitem__(self, key)
517 key = _check_bool_indexer(self.index, key)
518
--> 519 return self._get_with(key)
520
521 def _get_with(self, key):
C:\Python27\lib\site-packages\pandas\core\series.pyc in _get_with(self, key)
555 # handle the dup indexing case (GH 4246)
556 if isinstance(key, (list, tuple)):
--> 557 return self.ix[key]
558
559 return self.reindex(key)
C:\Python27\lib\site-packages\pandas\core\indexing.pyc in __getitem__(self, key)
68 return self._getitem_tuple(key)
69 else:
---> 70 return self._getitem_axis(key, axis=0)
71
72 def _get_label(self, label, axis=0):
C:\Python27\lib\site-packages\pandas\core\indexing.pyc in _getitem_axis(self, key, axis, validate_iterable)
849 raise ValueError('Cannot index with multidimensional key')
850
--> 851 return self._getitem_iterable(key, axis=axis)
852 else:
853 if com.is_integer(key):
C:\Python27\lib\site-packages\pandas\core\indexing.pyc in _getitem_iterable(self, key, axis)
905 # existing labels are unique and indexer is unique
906 if labels.is_unique and keyarr_is_unique:
--> 907 return _reindex(keyarr, level=level)
908
909 else:
C:\Python27\lib\site-packages\pandas\core\indexing.pyc in _reindex(keys, level)
875 if axis != 0:
876 raise AssertionError('axis must be 0')
--> 877 return self.obj.reindex(keys, level=level)
878
879 if com._is_bool_indexer(key):
C:\Python27\lib\site-packages\pandas\core\series.pyc in reindex(self, index, **kwargs)
2026 @Appender(generic._shared_docs['reindex'] % _shared_doc_kwargs)
2027 def reindex(self, index=None, **kwargs):
-> 2028 return super(Series, self).reindex(index=index, **kwargs)
2029
2030 def reindex_axis(self, labels, axis=0, **kwargs):
C:\Python27\lib\site-packages\pandas\core\generic.pyc in reindex(self, *args, **kwargs)
1608 # if indicated must have index names equal here as well as values
1609 if all([self._get_axis(axis).identical(ax)
-> 1610 for axis, ax in axes.items() if ax is not None]):
1611 if copy:
1612 return self.copy()
C:\Python27\lib\site-packages\pandas\core\index.pyc in identical(self, other)
849 also equal
850 """
--> 851 return (self.equals(other) and
852 all((getattr(self, c, None) == getattr(other, c, None)
853 for c in self._comparables)) and
C:\Python27\lib\site-packages\pandas\tseries\period.pyc in equals(self, other)
822 return True
823
--> 824 return np.array_equal(self.asi8, other.asi8)
825
826 def tolist(self):
AttributeError: 'numpy.ndarray' object has no attribute 'asi8'