Another somewhat degenerate case that works in 0.15.2, fails in 0.16.1
import pandas as pd
pd.show_versions()
ts = pd.TimeSeries()
ts[pd.datetime(2012, 1, 1)] = 47
ts2 = pd.TimeSeries(0, pd.date_range('2011-01-01', '2011-01-01'))[:0]
ts2[pd.datetime(2012, 1, 1)] = 47
0.15.2 output:
INSTALLED VERSIONS ------------------ commit: None python: 2.7.9.final.0 python-bits: 64 OS: Windows OS-release: 7 machine: AMD64 processor: Intel64 Family 6 Model 26 Stepping 5, GenuineIntel byteorder: little LC_ALL: None LANG: None pandas: 0.15.2 nose: 1.3.4 Cython: 0.21 numpy: 1.9.2 scipy: 0.14.0 statsmodels: 0.5.0 IPython: 3.0.0-dev sphinx: 1.2.3 patsy: 0.3.0 dateutil: 2.4.2 pytz: 2015.4 bottleneck: 0.8.0 tables: 3.1.1 numexpr: 2.3.1 matplotlib: 1.4.2 openpyxl: None xlrd: 0.9.3 xlwt: None xlsxwriter: 0.5.7 lxml: 3.4.0 bs4: 4.3.2 html5lib: 0.999 httplib2: None apiclient: None rpy2: None sqlalchemy: 0.9.7 pymysql: None psycopg2: None
0.16.1 output:
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.9.final.0
python-bits: 64
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 26 Stepping 5, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
pandas: 0.16.1-46-g0aceb38
nose: 1.3.6
Cython: 0.22
numpy: 1.9.2
scipy: 0.14.0
statsmodels: 0.6.1
IPython: 3.1.0
sphinx: 1.3.1
patsy: 0.3.0
dateutil: 2.4.2
pytz: 2015.4
bottleneck: 0.8.0
tables: 3.1.1
numexpr: 2.3.1
matplotlib: 1.4.3
openpyxl: None
xlrd: 0.9.3
xlwt: None
xlsxwriter: 0.7.2
lxml: None
bs4: 4.3.2
html5lib: 0.999
httplib2: None
apiclient: None
sqlalchemy: 1.0.4
pymysql: None
psycopg2: None
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
c:\test_set_empty_series_with_freq.py in <module>()
11 ts2 = pd.TimeSeries(0, pd.date_range('2011-01-01', '2011-01-01'))[:0]
12
---> 13 ts2[pd.datetime(2012, 1, 1)] = 47
c:\python\envs\pandas-0.16.1\lib\site-packages\pandas\core\series.pyc in __setitem__(self, key, value)
687 # do the setitem
688 cacher_needs_updating = self._check_is_chained_assignment_possible()
--> 689 setitem(key, value)
690 if cacher_needs_updating:
691 self._maybe_update_cacher()
c:\python\envs\pandas-0.16.1\lib\site-packages\pandas\core\series.pyc in setitem(key, value)
660 pass
661 try:
--> 662 self.loc[key] = value
663 except:
664 print ""
c:\python\envs\pandas-0.16.1\lib\site-packages\pandas\core\indexing.pyc in __setitem__(self, key, value)
113 def __setitem__(self, key, value):
114 indexer = self._get_setitem_indexer(key)
--> 115 self._setitem_with_indexer(indexer, value)
116
117 def _has_valid_type(self, k, axis):
c:\python\envs\pandas-0.16.1\lib\site-packages\pandas\core\indexing.pyc in _setitem_with_indexer(self, indexer, value)
272 if self.ndim == 1:
273 index = self.obj.index
--> 274 new_index = index.insert(len(index),indexer)
275
276 # this preserves dtype of the value
c:\python\envs\pandas-0.16.1\lib\site-packages\pandas\tseries\index.pyc in insert(self, loc, item)
1523 # check freq can be preserved on edge cases
1524 if self.freq is not None:
-> 1525 if (loc == 0 or loc == -len(self)) and item + self.freq == self[0]:
1526 freq = self.freq
1527 elif (loc == len(self)) and item - self.freq == self[-1]:
c:\python\envs\pandas-0.16.1\lib\site-packages\pandas\tseries\index.pyc in __getitem__(self, key)
1351 getitem = self._data.__getitem__
1352 if np.isscalar(key):
-> 1353 val = getitem(key)
1354 return Timestamp(val, offset=self.offset, tz=self.tz)
1355 else:
IndexError: index 0 is out of bounds for axis 0 with size 0
Proposed #10194
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