nalepae/pandarallel issues and pull requests

#175 - Add leave param

Pull Request - State: open - Opened by josephenguehard over 2 years ago - 1 comment

#171 - Does `pandarallel` parallelize across columns?

Issue - State: closed - Opened by ktattan over 2 years ago - 1 comment

#170 - fix axis=0 parallel_apply with data frame as an outcome

Pull Request - State: closed - Opened by MarkusZimmerDLR over 2 years ago - 1 comment

#162 - CUstomizing progress bars

Issue - State: open - Opened by Yves33 almost 3 years ago - 1 comment
Labels: enhancement

#161 - EOFError while using pandarallel

Issue - State: closed - Opened by reach4bawer almost 3 years ago - 2 comments

#155 - How to use pandarallel_apply with multiple arguments?

Issue - State: closed - Opened by Ribo-Py about 3 years ago - 1 comment

#153 - OSError when << use_memory_fs=True>>

Issue - State: closed - Opened by pratikchhapolika about 3 years ago - 2 comments

#150 - Fails with "_wrap_applied_output() missing 1 required positional argument" where a simple pandas apply succeeds

Issue - State: closed - Opened by GDelevoye about 3 years ago - 18 comments

#149 - CPU limiting options

Issue - State: open - Opened by jcurtis-cc about 3 years ago - 1 comment
Labels: enhancement

#148 - How about DataFrame.corr method?

Issue - State: open - Opened by GF-Huang about 3 years ago - 3 comments

#147 - Can we add a threading backend?

Issue - State: open - Opened by auderson about 3 years ago - 1 comment
Labels: enhancement

#146 - Global variable sharing

Issue - State: closed - Opened by TsinlingLi over 3 years ago - 1 comment

#143 - Pandarell not working with big dataset on Docker due to `dev/shm`

Issue - State: open - Opened by angeligareta over 3 years ago - 2 comments

#141 - ValueError: Number of processes must be at least 1

Issue - State: closed - Opened by ztsweet over 3 years ago - 11 comments

#139 - Value error when running

Issue - State: closed - Opened by lfdversluis over 3 years ago - 4 comments

#136 - Writing results in a Dataframe works with apply, however the same doesn't work in parallel apply. Need help with the same.

Issue - State: open - Opened by ssakthivinayagam over 3 years ago - 2 comments
Labels: bug

#135 - [Feature Request] Timer on Progress Bar

Issue - State: open - Opened by zhenyulin over 3 years ago - 5 comments

#131 - Setting progress_bar=True freezes execution for parallel_apply before reaching 1% completion on all CPU's

Issue - State: closed - Opened by abhineetgupta over 3 years ago - 25 comments

#130 - Sequential exection

Issue - State: closed - Opened by scotty3005 over 3 years ago - 1 comment

#129 - why is df.groupby([field]).rank() faster than pandarallel?

Issue - State: closed - Opened by dwy904 over 3 years ago - 1 comment

#128 - [Errno 38] Function not implemented in AWS Lambda

Issue - State: closed - Opened by tho-actrecipe over 3 years ago - 4 comments

#127 - OSError: [Errno 28] No space left on device

Issue - State: closed - Opened by borisRa over 3 years ago - 14 comments

#126 - free(): invalid pointer

Issue - State: open - Opened by MLTQ almost 4 years ago - 2 comments

#124 - nb_workers should be overrideable at each individual progress call

Issue - State: closed - Opened by BrannonKing almost 4 years ago - 1 comment

#122 - parallel_apply never starts processing

Issue - State: open - Opened by pablokvitca almost 4 years ago - 11 comments

#121 - Progress stops at some moment and doesn't move

Issue - State: open - Opened by koren-v almost 4 years ago - 9 comments

#120 - Add parallelization to pandas transform

Issue - State: open - Opened by CoderBinGe almost 4 years ago - 6 comments

#117 - Error when using parallel_apply on groupby!

Issue - State: open - Opened by zahra-rou almost 4 years ago - 3 comments

#116 - Error when using parallel_apply on groupby!

Issue - State: closed - Opened by zahra-rou almost 4 years ago - 1 comment

#115 - parallel_apply on empty dataframe fails with confusing error

Issue - State: closed - Opened by zachary-jablons-okcupid almost 4 years ago - 1 comment

#114 - provide signals before apply as pymongo(maybe more libs) need close before fork

Issue - State: closed - Opened by zjqzero almost 4 years ago - 1 comment

#111 - Weird return from parallel_appy()

Issue - State: open - Opened by conraddd almost 4 years ago - 3 comments

#108 - parallel_apply

Issue - State: closed - Opened by borisRa about 4 years ago - 3 comments

#107 - parallel_apply not working for some function.

Issue - State: open - Opened by dheerajiiitv about 4 years ago - 14 comments

#106 - Speed up `.groupby` itself

Issue - State: open - Opened by tilusnet about 4 years ago - 1 comment

#102 - AttributeError: 'float' object has no attribute 'a'

Issue - State: closed - Opened by mustafakhalidcs about 4 years ago - 1 comment

#89 - implement parallel_aggregate that works on df.resample()

Issue - State: open - Opened by kryptonite0 over 4 years ago - 2 comments

#88 - .parallel_apply fails to complete and hangs with all threads at >99% completion when progress_bar = True

Issue - State: open - Opened by maxshowarth over 4 years ago - 4 comments

#84 - parallel_apply sometimes changes the element type (example provided)

Issue - State: closed - Opened by petrbel over 4 years ago - 1 comment

#82 - Feature Request: parallel agg (aggregate)

Issue - State: open - Opened by kinghuang over 4 years ago - 2 comments
Labels: enhancement

#78 - My Parralel aplication don't changing one global variable

Issue - State: open - Opened by PedroFanho over 4 years ago - 1 comment

#77 - Hangs on Completion When nb_workers is Too High

Issue - State: closed - Opened by xanderdunn over 4 years ago - 2 comments

#76 - parallel_apply results in EOFError when run from Pycharm, works fine from Jupyter Notebook

Issue - State: open - Opened by KubaMichalczyk over 4 years ago - 18 comments

#75 - parallel_map hangs if progress_bar=True

Issue - State: closed - Opened by sirbiscuit over 4 years ago - 4 comments

#74 - parallel_apply(..., axis=0) return duplicated rows.

Issue - State: closed - Opened by miettal over 4 years ago - 10 comments

#73 - Python quit unexpectedlly

Issue - State: open - Opened by hector-orkestro over 4 years ago - 3 comments

#72 - AttributeError: Can't pickle local object 'prepare_worker.<locals>.closure.<locals>.wrapper'

Issue - State: open - Opened by ChristianRue over 4 years ago - 8 comments

#68 - Processes stopped when passing large objects to function to be parallelized

Issue - State: open - Opened by alberduris over 4 years ago - 8 comments

#64 - parallel_apply throws AssertionError: daemonic processes are not allowed to have children

Issue - State: closed - Opened by YonoloX almost 5 years ago - 5 comments

#60 - Unable to execute parallel_apply on Rolling DataFrame with Time Interval as Window

Issue - State: closed - Opened by dice89 almost 5 years ago - 4 comments

#59 - thread does not terminate when calling parallel_apply()

Issue - State: open - Opened by kkawabat almost 5 years ago - 9 comments

#53 - When an error occurs, the user has to wait for the end of all tasks

Issue - State: open - Opened by nalepae almost 5 years ago - 1 comment
Labels: bug

#52 - One process does all jobs by itself

Issue - State: open - Opened by adriantre almost 5 years ago - 3 comments
Labels: bug

#22 - try dill to support lambda function？

Issue - State: closed - Opened by slimtom95 over 5 years ago - 5 comments
Labels: enhancement

#18 - Compatibility with Cell Magic

Issue - State: open - Opened by kylehiroyasu over 5 years ago - 6 comments
Labels: bug

#17 - While `python_requires` is specified in setup.py, it is still possible to install pandarallel with a non supported Python version through pip.

Issue - State: open - Opened by nalepae over 5 years ago - 2 comments
Labels: bug, help wanted

#2 - Implement SeriesGroupBy.parallel_apply

Issue - State: open - Opened by nalepae over 5 years ago - 1 comment
Labels: enhancement

GitHub / nalepae/pandarallel issues and pull requests