Modin 0.3.1 release notes

This release contains a few minor bugfixes and code reformatting. It also includes some enhancements for the user and improved testing.

Bugfixes + Pandas Concordance (🐛 + 🐼)

Fix issue with MultiIndex in reindex (#427)
Fixing memory usage in containers (#446)
Fixing issue with duplicated rows when looping through groupby object (#459)

User experience 👤

Fix issue where some users have to install Dask to run Modin (#434)
Ignore numpy version error. (#445)
Removing path and line number from warnings. (#447)
Add typing to dependencies (#462)

New functionality ⭐️

read_hdf() support to 'fixed' format (#440)
DataFrame.drop_duplicates (#433)
First initiative to distribute the read_sql() method. (#436)

Backend enhancements + Performance 🚀

Add a way to skip the initial reindex phase for left and right (#425)

Code Refactor 💯

Fix flake8 errors exposed by update of flake8 (#442)
Remove the pandas dependency from BlockPartitions (#437)
Refactor Pandas Axis Partition objects to avoid duplicate code (#435)

Testing 📈

Add codecov to testing suite (#452)

Documentation

Minor fixes and typos (#430, #431, #419, #450)
Add binderhub badges and rearrange badges (#443)
Fix incorrect email address in docs (#449)

Contributors this release

The following users contributed code to Modin since the last release.

@igorborgest (New contributor) 🔰
@Kopurlso (Returning contributor) 🌟
@eavidan (Committer)
@devin-petersohn (Admin)

🎉🎉 Thank you! 🎉🎉

Assets 4

24 Jan 19:27

devin-petersohn

v0.3.0

79c1113

Modin 0.3.0

Modin 0.3.0 release notes

This release came with a lot of bugfixes, new features, and performance enhancements. Notably, you can now use Modin out of core to use larger-than-memory DataFrames with a pandas API! We have also set up an easier way to report bugs, simply email bug_reports@modin.org or feature_requests@modin.org to report bugs or request features. Modin also now supports Dask Delayed as a backend!

Bugfixes + Pandas Concordance (🐛 + 🐼)

Various bugfixes for the python backend (#260, #287, #310)
Fixes indexing issues with loc, iloc, and __getitem__ (#295, #294)
__repr__ bugfix (#299)
Fixed block lengths error (#304)
Fix reset_index with a MultiIndex resulted in a single column (#305)
Fix index of the result of get_dtype_counts (#308)
Fixing bug in read_csv erroneously filtered out provided keyword arguments (#314)
Fixes mode to work with the new backend (#313)
Fix bug in concat where keys were improperly assigned (#317)
Allow Modin to use the larger than target item for setitem (#319)
Adding dtypes to the exclude parameter in the remote partition (#321)
Adding additional check to inplace operations (#323)
Adding modin.pandas.melt for pandas concordance (#325)
Fixing issue where non-numeric partitions threw errors on numeric ops (#328)
Adding SeriesView object that allows inplace operations (#326, #331, #354, #357, #373, #375, #390)
Fix dropna when axis is a string (#329)
Ensuring ordered retrieval of columns/rows when operating on a subset (#334)
Adding check for lists of columns with a column not in the index (#336)
Fixes rmod (#344)
Fix mode when axis=1 and remove a reindex (#333)
Fix rfloordiv error (#342)
Removed pow dtype checking (#346)
Fix a bug in get_indices (#348)
Fixed sort_index (#160)
Setting min_count default to 0 to match pandas (#352)
Filtering default exclude values in describe based on the include passed in (#363)
Fixing partitioning issue when doing a reindex/concat (#361)
Adding try-except block to internal partition computation for describe (#365)
Adding crosstab that defaults to pandas to modin.pandas (#367)
Correctly handling empty DataFrames for selective operations (#369)
Adding case for operations like align so we can properly convert (#371)
Adding groupby columns and index name when necessary (#380)
Checking for type before we check the length to avoid spurious errors. (#383)
Removing data from DataFrame.hist parameter requirements (#387)
Adding plotting module. (#389)
Correcting dtypes after iloc issue (#391)
Adding isnull to modin.pandas (#395)
Insert column to a DataFrame with no index (#398)
support for DataFrame().loc when location (row/col) does not exist (#401)
Adding support for inserting DataFrames with 1 column (#403)
removing axis from replace signature (#412)
align read_excel() signature with pandas 0.23.4 (#415)
Add a fix to Groupby for aggregations by a column from the DataFrame (#413)
Adding a way to set existing columns using setattr (#423)
Fixes out of order columns for loc based indexing (#424)

User experience

Add email addresses for reporting bugs/requesting implementation (#296, #426)

New functionality

Dask Backend 🎉 (#271, #281, #297)
Out of Core 🎉 (#277)
Use ray to parallelize read_feather with pyarrow feather API (#292)

Backend enhancements + Performance

Using numpy arrays instead of python lists for metadata (#300)
Improve the way that Modin filters out empty partitions (#301)
Making Modin more efficient with smaller DataFrames (#307)
Making drop faster for drop operations (#379)
Converting PandasQueryCompiler.getitem_array to accept numeric indices (#386)
Removing is_view from PandasQueryCompilerView and codepath requiring it (#393)
Making Modin more efficient at small DataFrames (#407)

Code Refactor

Refactor io module (#283)
Major refactor of data_management (#290)
Removing dead code and removing explicit warnings (#302)
Refactor testing suite (#93)

Ray updated

Updated Ray dependency to 0.6.2 (#417)

Documentation

Adding badge to README for link to discourse (#332)
Add logo to repo (#337, #338, #339, #340)
Update Readme
Link to Pandas Documentation (#397)
Adding out of core information to the documentation (#406)

Contributors this release

The following users contributed code to Modin since the last release.

@coobas (New contributor) 🔰
@pcahyna (New contributor) 🔰
@Kopurlso (Returning contributor) 🌟
@eavidan (Committer)
@osalpekar (Committer)
@williamma12 (Committer)
@devin-petersohn (Admin)

🎉🎉 Thank you! 🎉🎉

Assets 4