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PERF: improve to_timedelta perf for string-like #6755
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jreback
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PERF: parse and timedelta ops improvements, #6755
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* 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 ...
gambogi
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see #6754
related #3009, #8190
from SO
convering string like timedeltas, e.g.
'1 days', '3 days, 00:00:03', '3 days 2 hours'
is slow because it requires a regex match for each element. Can put cythonized (like format parsing for datetimes), or since only very limited formats supported can simply test them (in cython) and convert.
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