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Assigning to a sliced a Panel #1533
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I am using |
I'll take a look and let you know. I don't believe I have any tests here so I need to at minimum specify the desired behavior at the test level |
thanks, maybe the example I gave above could work as a crude test? |
wesm
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Jun 29, 2012
Fixed this. Thanks for the report |
yarikoptic
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Version 0.8.0 * tag 'v0.8.0': (21 commits) RLS: version 0.8.0 DOC: release notes BUG: _get_marker_compat insufficient on matplotlib < 1.1.0 BUG: don't use local() in read_* functions, breaks sys.settrace. close pandas-dev#1547 BUG: fix Panel slice setting issue and matplotlib import issues pandas-dev#1548, pandas-dev#1533 ENH: parsers don't use tempfile ENH: implement DataFrameGroupBy.boxplot(), close pandas-dev#1507 BUG: fix MultiIndex indexing issues in pandas-dev#1537, python 2.5 api fix BUG: fix incorrect bin labels from cut when labels=False and NA present. close pandas-dev#1511 ENH: support file-like objects in ExcelFile, close pandas-dev#1529 TST: skip test raising unsortable warning on 32-bit windows, other platforms. pandas-dev#1546 BUG: raise exceptions out of trying to parse iso8601 strings TST: separated test case BUG: custom colors for bar chart pandas-dev#1540 ENH: add 'time' as inferred_type ENH: datetime.time converters for plotting BUG: fix MultiIndex segfault due to internal refactoring. close pandas-dev#1532 BUG: fix MultiIndex compatibility bugs described in pandas-dev#1534 post gutting internal array close pandas-dev#1534 BUG: parser bug when parse_dates is string pandas-dev#1544 BUG: return nameless Series and index from from_csv ...
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Suppose I have:
a=Panel(items=[1,2,3],major_axis=[11,22,33],minor_axis=[111,222,333])
b=DataFrame(randn(2,3),index=[111,333],columns=[1,2,3])
I get an error when trying to assign b to a slice of a:
a.ix[:,22,[111,333]]=b
ValueError Traceback (most recent call last)
in ()
----> 1 a.ix[:,22,[111,333]]=b
/usr/local/lib/python2.7/site-packages/pandas/core/indexing.pyc in setitem(self, key, value)
66 indexer = self._convert_to_indexer(key)
67
---> 68 self._setitem_with_indexer(indexer, value)
69
70 def _convert_tuple(self, key):
/usr/local/lib/python2.7/site-packages/pandas/core/indexing.pyc in _setitem_with_indexer(self, indexer, value)
101 if isinstance(indexer, tuple):
102 indexer = _maybe_convert_ix(*indexer)
--> 103 self.obj.values[indexer] = value
104
105 def _getitem_tuple(self, tup):
ValueError: array is not broadcastable to correct shape
The slice of a and b look of same shape to me, so I do not understand the broadcasting error.
When debugging _setitem_with_indexer() I notice that the indexer returns a 2x3 array instead of 3x2, so if I do:
a.ix[:,22,[111,333]]=b.T
then it works. Is this a bug or the intended behaviour?
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