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BLD: drop support for python 3.2 #9118
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There was a small mention of this on the numpy mailing list: http://mail.scipy.org/pipermail/numpy-discussion/2014-March/069643.html, but numpy/scipy still support it I think scikit-learn seems to only support >= 3.3: http://scikit-learn.org/stable/install.html |
windows builds are now dropping 3.2, so this is on tap for 0.17.0 |
* commit 'v0.16.2-42-g383865f': (72 commits) BUG: provide categorical concat always on axis 0, pandas-dev#10430 numpy 1.10 makes this an error for 1-d on axis != 0 DOC: update missing.rst with ref to groupby.rst BUG: Timedeltas with no specified units (and frac) should raise, pandas-dev#10426 BUG: using .loc[:,column] fails when the object is a multi-index, pandas-dev#10408 Removed scikit-timeseries migration docs from FAQ BUG: GH10395 bug in DataFrame.interpolate with axis=1 and inplace=True BUG: GH10392 bug where Table.select_column does not preserve column name TST: Use unicode literals in string test PERF: fix _get_level_indexer to accept an intermediate indexer result PERF: bench for pandas-dev#10287 BUG: drop_duplicates drops name(s). ENH: Enable ExcelWriter to construct in-memory sheets BLD: remove support for 3.2, pandas-dev#9118 PERF: timedelta and datetime64 ops improvements PERF: parse timedelta strings in cython pandas-dev#6755 closes bug in reset_index when index contains NaT Check for size=0 before setting item Fixes pandas-dev#10193 closes bug in apply when function returns categorical BUG: frequencies.get_freq_code raises an error against offset with n != 1 CI: run doc-tests always ...
someone want to sample the scientific stack and see who still supoorts 3.2?
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