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Segmentation fault with MultiIndex join() #1532

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leonbaum opened this issue Jun 26, 2012 · 1 comment
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Segmentation fault with MultiIndex join() #1532

leonbaum opened this issue Jun 26, 2012 · 1 comment
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@leonbaum
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With pandas from the current master branch and python-3.2.2, I'm getting a seg fault with the following minimal example:

df1 = pandas.DataFrame({'a': [1, 1], 'b': [1, 2], 'x': [1, 2]})
df2 = pandas.DataFrame({'a': [2, 2], 'b': [1, 2], 'y': [1, 2]})
df1 = df1.set_index(['a', 'b'])
df2 = df2.set_index(['a', 'b'])
df1.join(df2)

Process Python segmentation fault
@ruidc
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ruidc commented Jun 26, 2012

also on python 2.7.3

@wesm wesm closed this as completed in ce4ae93 Jun 28, 2012
yarikoptic added a commit to neurodebian/pandas that referenced this issue Jun 30, 2012
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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