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1 ** Sparse df with nans makes sp_values() produce strange results under df[] vs df.take([]) #2220

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ghost opened this issue Nov 11, 2012 · 0 comments

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@ghost
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commented Nov 11, 2012

df = SparseDataFrame({    'A' : [nan, 0, 1]    }) # note : no error without nan
df = 1 ** df # note that 2 ** df works fine, also df ** 1
r1=df.take([0],1)['A']
r2=df['A']
assert len(r2.sp_values) == len(r1.sp_values)
  • I'm not familiar with the block management code so I can't figure this out
    with reasonable effort right now.
  • as a side issue, it looks like 1 ** nan == 1 in this context, seems suspect.
@ghost ghost referenced this issue Nov 11, 2012

@wesm wesm closed this in cda2084 Nov 13, 2012

yarikoptic added a commit to neurodebian/pandas that referenced this issue Nov 15, 2012
Merge commit 'v0.9.1rc1-27-ge374f0f' into debian
* commit 'v0.9.1rc1-27-ge374f0f': (52 commits)
  BUG: axes.color_cycle from mpl rcParams should not be joined as single string
  BUG: icol duplicate columns with integer sequence failure. close pandas-dev#2228
  TST: unit test for pandas-dev#2214
  BUG: coerce ndarray dtype to object when comparing series
  ENH: make vbench_suite/run_suite executable
  ENH: Use __file__ to determine REPO_PATH in vb_suite/suite.py
  BUG: 1 ** NA issue in computing new fill value in SparseSeries. close pandas-dev#2220
  BUG: make inplace semantics of DataFrame.where consistent. pandas-dev#2230
  BUG: fix internal error in constructing DataFrame.values with duplicate column names. close pandas-dev#2236
  added back mask method that does condition inversion added condition testing to where that raised ValueError on an invalid condition (e.g. not an ndarray like object) added tests for same
  in core/frame.py
  TST: getting column from and applying op to a df should commute
  TST: add dual ( x op y <-> y op x ) tests for arith operators
  BUG: Incorrect error message due to zero based levels. close pandas-dev#2226
  fixed file modes for core/frame.py, test/test_frame.py
  relaxed __setitem__ restriction on boolean indexing a frame on an equal sized frame
  in core/frame.py
  ENH: warn user when invoking to_dict() on df with non-unique columns
  BUG: modify df.iteritems to support duplicate column labels pandas-dev#2219
  TST: df.iteritems() should yield Series even with non-unique column labels
  ...
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