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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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Pandas v1.1.0rc0

Pandas: v1.1.0rc0 Release

Release date:

July 17, 2020

Previous version:

v1.1.0.dev0 (released June 17, 2020)

Magnitude:

17,929 Diff Delta

Contributors:

113 total committers

Data confidence:

Commits:

402

402 Commits in this Release

Ordered by the degree to which they evolved the repo in this version.

TST: rename fixtures named 'indices' to 'index' (#35024)

Authored June 26, 2020

Json Visual Clutter cleanup (#35183)

Authored July 9, 2020

BUG: repr of Categorical does not distinguish int and str. (#34222)

Authored June 24, 2020

Replaced numpy type aliases; fix CI failure (#34835)

Authored June 17, 2020

REF: add to_offset to tslibs namespace (#34538)

Authored June 3, 2020

TST/REF: refactor the arithmetic tests for IntegerArray (#34454)

Authored June 6, 2020

CLN: always dispatch-to-series (#34286)

Authored May 23, 2020

TST/REF: arithmetic tests for BooleanArray + consolidate with integer masked tests (#34623)

Authored June 14, 2020

CLN: remove get_freq_code (#34674)

Authored June 10, 2020

REF: move remaining offsets into liboffsets (#34398)

Authored May 27, 2020

ENH: Add support for calculating EWMA with a time component (#34839)

Authored July 6, 2020

REF: get str_rep in numexpr code (#34325)

Authored May 22, 2020

BUG: groupby with as_index=False shouldn't modify grouping columns (#34012)

Authored May 27, 2020

REF: BusinessDay, BusinessHour to liboffsets (#34391)

Authored May 26, 2020

CLN: make Info and DataFrameInfo subclasses (#34743)

Authored June 29, 2020

REF: is_subperiod, is_superperiod out of libfreqs (#34387)

Authored May 26, 2020

ENH: Resolutions for month/qtr/year (#34587)

Authored June 9, 2020

ENH: Add compute.use_numba configuration for automatically using numba (#35182)

Authored July 15, 2020

REF: mix PeriodPseudoDtype into PeriodDtype (#34590)

Authored June 8, 2020

BUG: flex op with DataFrame, Series and ea vs ndarray (#34277)

Authored May 25, 2020

PERF: Use Indexers to implement groupby rolling (#34052)

Authored May 25, 2020

REF: dont consolidate in BlockManager.equals (#34962)

Authored July 6, 2020

REF: ensure we have offset objects in plotting functions (#34585)

Authored June 8, 2020

add Tick, BaseOffset to tslibs namespace (#34963)

Authored June 24, 2020

BUG: groupby.hist legend should use group keys (#33493)

Authored June 22, 2020

EHN: to_{html, string} col_space col specific (#32903)

Authored June 18, 2020

Assorted ujson Cleanups (#35064)

Authored July 1, 2020

API: Make describe changes backwards compatible (#34798)

Authored July 14, 2020

PERF: avoid creating many Series in apply_standard (#34909)

Authored June 25, 2020

REF: move to_offset to liboffsets (#34420)

Authored May 28, 2020

CLN: de-duplicate dispatch_to_series calls (#34386)

Authored May 26, 2020

Optimize array_equivalent for NDFrame.equals (#35328)

Authored July 17, 2020

BUG: Fix concat of frames with extension types (no reindexed columns) (#34339)

Authored June 19, 2020

REF: move Year/Month/Quarter offsets to liboffsets (#34346)

Authored May 25, 2020

Export InvalidIndexError (#34570)

Authored June 14, 2020

DOC: Demonstrate custom rolling indexer with Businessday (#34947)

Authored June 25, 2020

BUG: Use correct ExtensionArray reductions in DataFrame reductions (#35254)

Authored July 15, 2020

BUG: fix concat of Sparse with non-sparse dtypes (#34338)

Authored May 29, 2020

REF: Make WeekOfMonthMixin a cdef class (#34265)

Authored May 25, 2020

BUG: transform with nunique should have dtype int64 (#35152)

Authored July 10, 2020

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Top Contributors in v1.1.0rc0

jbrockmendel

WillAyd

jorisvandenbossche

topper-123

MarcoGorelli

rhshadrach

mroeschke

TomAugspurger

quangngd

phofl

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Release Notes Published

This is the first release candidate for 1.1.0rc0. If all goes well, we'll release pandas 1.1.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==1.1.0rc0

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==1.1.0rc0

Please report any issues with the release candidate on the pandas issue tracker.