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Docs and versioning

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jmcarpenter2 committed Jun 17, 2019
1 parent 0ea5c3e commit 09cdf1b076c7fe71998dc793c5f54c1aee9fd312
Showing with 8 additions and 5 deletions.
  1. +1 −1 README.md
  2. +4 −1 docs/changelog.md
  3. +2 −2 setup.py
  4. +1 −1 swifter/__init__.py
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# swifter [![Tweet](https://img.shields.io/twitter/url/http/shields.io.svg?style=social)](https://twitter.com/intent/tweet?text=Enjoying%20swifter%20optimized%20processing&url=https://www.github.com/jmcarpenter2/swifter&via=jcarpenter542&hashtags=python,pandas,parallel-processing,dask)
# swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.

[![PyPI version](https://badge.fury.io/py/swifter.svg)](https://badge.fury.io/py/swifter)
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# Changelog

## Versino 0.287
## Versions 0.288 and 0.289
Very minor bug fixes for edge cases, e.g. KeyError for applying on a dataframe with a dictionary as a nested element

## Version 0.287
Fixed bugs with rolling apply. Added unit test coverage.

## Version 0.286
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setup(
name="swifter",
packages=["swifter"], # this must be the same as the name above
version="0.288",
version="0.289",
description="A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner",
author="Jason Carpenter",
author_email="jcarpenter@manifold.ai",
url="https://github.com/jmcarpenter2/swifter", # use the URL to the github repo
download_url="https://github.com/jmcarpenter2/swifter/archive/0.288.tar.gz",
download_url="https://github.com/jmcarpenter2/swifter/archive/0.289.tar.gz",
keywords=["pandas", "dask", "apply", "function", "parallelize", "vectorize"],
install_requires=["pandas>=0.23.0", "psutil", "dask[complete]>=0.19.0", "tqdm>=4.27.0", "ipywidgets>=7.0.0", "numba"],
classifiers=[],
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from .swifter import SeriesAccessor, DataFrameAccessor

__all__ = ["SeriesAccessor, DataFrameAccessor"]
__version__ = "0.288"
__version__ = "0.289"

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