8000 ENH: Handle categorical dtype to/from R by jseabold · Pull Request #9187 · pandas-dev/pandas · GitHub
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ENH: Handle categorical dtype to/from R #9187

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ENH: Handle categorical dtype to/from R #9187

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2a63579
TST: Make test work.
jseabold Jan 2, 2015
0b3327f
TST: Test DataFrame code path for factors
jseabold Jan 2, 2015
0d75807
ENH: Convert R factors to pandas.Categoricals
jseabold Jan 2, 2015
57cf1e7
TST: Test to R data.frame with categorical
jseabold Jan 2, 2015
5f4db39
ENH: Handle to R data.frame with Categorical
jseabold Jan 2, 2015
620b5ed
ENH: Support int8 and int16. [skip-ci]
jseabold Jan 2, 2015
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ENH: Support int8 and int16. [skip-ci]
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@jseabold
jseabold committed Jan 2, 2015
commit 620b5edccab803b7b6fa2cd70545189360fc3ec9
4 changes: 4 additions & 0 deletions pandas/rpy/common.py
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Expand Up @@ -281,6 +281,8 @@ def convert_to_r_posixct(obj):
np.float32: robj.FloatVector,
np.float: robj.FloatVector,
np.int: robj.IntVector,
np.int8: robj.IntVector,
np.int16: robj.IntVector,
np.int32: robj.IntVector,
np.int64: robj.IntVector,
np.object_: robj.StrVector,
Expand All @@ -292,6 +294,8 @@ def convert_to_r_posixct(obj):
np.float32: robj.NA_Real,
np.float: robj.NA_Real,
np.int: robj.NA_Integer,
np.int8: robj.NA_Integer,
np.int16: robj.NA_Integer,
np.int32: robj.NA_Integer,
np.int64: robj.NA_Integer,
np.object_: robj.NA_Character,
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