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Latest numpy and pandas #1339
Latest numpy and pandas #1339
Commits on Sep 20, 2016
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Scott Sanderson committed
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MAINT: Don't use .loc with integers.
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MAINT: Explicitly use float64 in test.
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MAINT: Fix numpy deprecation warnings.
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DOC: Remove out of date comment.
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DOC: Update LabelArray docstring.
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ENH: Make INT_DTYPES_BY_SIZE_BYTES ordered.
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MAINT: Update fetcher for pandas 0.18.
- Remove support for usecols=[]. - Use sort_values instead of sort(). - Use errors='coerce' instead of coerce=True.
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MAINT: Use arange instead of rolling_count.
It's faster, and rolling_count is deprecated.
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MAINT: Fix failures/warnings in test_api_shim.py
- Fixes a warning on indexing with a float that ultimately came from pd.Timedelta.total_seconds(). Adds ``timedelta_to_integral_seconds`` and ``timedelta_to_integral_minutes()`` functions and replaces various usages of ``int(delta.total_seconds())`` with them. - Fixes a warnings triggered in ``_create_daily_stats`` from passing tz-aware datetimes to np.datetime64.
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MAINT: Pass explicit dtype to np.full.
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TEST/MAINT: Silence no_checkpoints warning.
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MAINT: Pass float to np.full explicitly.
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MAINT/TEST: Clarify test_events.
- Refer to ``sessions`` instead of periods. - Use ``toolz.concat`` instead of an O(N ** 2) sequence of appends.
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BUG: Use arrays for week/month group calculations.
In pandas 0.18, the behavior of ``nth()`` changed so that Grouper no longer can be easily used to recover group labels. Instead of using the built-in grouper behavior, we use a groupby on two arrays we build ourselves. This recovers the original behavior, and is about 2x faster as a bonus.
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MAINT: Use dataframe.iteritems instead of iterkv.
iterkv is deprecated.
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MAINT: Pass float explicitly to numpy.
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MAINT: Use sort_values() instead of sort().
pd.DataFrame.sort() is deprecated.
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MAINT: Use sort_values instead of sort().
Sort is deprecated.
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Scott Sanderson committed
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MAINT: Fix warnings from numpy on NaT comparison.
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MAINT: Fix warnings from numpy labelarray methods.
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MAINT: Don't use convert_objects().
It's not necessary, and it's deprecated.
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MAINT: Pass float to np.full explicitly.
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MAINT: Pandas compat for rolling_*.
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MAINT: Remove support for custom string Column missing values.
Pandas 0.18 deprecated passing "null-ish" values to pd.categorical. The expectation, instead, is that you use categorical's native support for missing data, which means the user will always get NaN's for missing entries of the categorical. A follow-up to this change should probably drop support for custom missing values entirely and to use LabelArray/categorical for integer data.
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Revert "MAINT: Remove support for custom string Column missing values."
This reverts commit 1b1e842.
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MAINT: Temporarily ignore pandas warnings in categoricals.
Pandas 0.18 doesn't like having null-ish values in categoricals. Fixing this properly requires re-thinking the semantics for missing_value on pipeline terms, so we're punting on that until after we've upgraded to 0.18.
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MAINT: Don't make datetime64 from tz-aware Timestamp.
It's slow and deprecated.
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DOC: Note where cleanup happens.
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BLD: Remove old numpy/pandas versions from travis.
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MAINT: Put scipy back in travis reqs.
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BLD: Update appveyor.yml for new pandas/numpy.
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MAINT: Remove outdated compat code.
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Anaconda doesn't have windows builds for scipy 0.18 (nor does conda-forge.)
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MAINT: Use specific versions in appveyor.yml.
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MAINT: Use explicit floats in np.full.
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MAINT: Fix PerformanceWarning import.
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MAINT: Use df.resample().apply().
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MAINT: Use sort_values instead of sort().
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Scott Sanderson committed
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BUG: Don't fail on integral floats in event rules.
Coerce and warn instead.
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MAINT: Use randint instead of random_integers.
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MAINT: Silence bad perf warning from pandas.
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BUG: Remove set_trace and add test coverage.
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