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CHANGELOGS.rst

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===========
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Change Logs
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===========
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current - 2021-10-26 - 0.00Mb
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=============================
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0.5.0
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* :pr:`33`: removes pyquickhelper dependency
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* :pr:`30`: fix compatiblity with pandas 2.0
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0.3.239
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* :pr:`27`: Fixes json parser when input is a stream (2021-10-26)
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* :pr:`26`: Fixes bug while reading json (iterator failed to be created twice) (2021-10-26)
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* :pr:`21`: Fixes grouping by nan values after update pandas to 1.3.0 (2021-07-10)
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* :pr:`17`: Implements method describe (2021-04-08)
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0.2.175 - 2020-08-06 - 0.03Mb
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=============================
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0.2.175
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* :pr:`16`: Unit tests failing with pandas 1.1.0. (2020-08-06)
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* :pr:`15`: implements parameter lines, flatten for read_json (2018-11-21)

CODE_OF_CONDUCT.md

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# Code of Conduct
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We are a community based on openness, as well as friendly and didactic discussions.
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We aspire to treat everybody equally, and value their contributions.
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Decisions are made based on technical merit and consensus.
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Code is not the only way to help the project. Reviewing pull requests,
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answering questions to help others on mailing lists or issues, organizing and
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teaching tutorials, working on the website, improving the documentation, are
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all priceless contributions.
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We abide by the principles of openness, respect, and consideration of others of
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the Python Software Foundation: https://www.python.org/psf/codeofconduct/

README.rst

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:target: https://github.com/sdpython/pandas_streaming/
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:alt: size
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**pandas_streaming**
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aims at processing big files with `pandas <http://pandas.pydata.org/>`_,
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`pandas-streaming <https://sdpython.github.io/doc/pandas-streaming/dev/>`_
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aims at processing big files with `pandas <https://pandas.pydata.org/>`_,
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too big to hold in memory, too small to be parallelized with a significant gain.
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The module replicates a subset of `pandas <http://pandas.pydata.org/>`_ API
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The module replicates a subset of *pandas* API
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and implements other functionalities for machine learning.
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::
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.. code-block:: python
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from pandas_streaming.df import StreamingDataFrame
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sdf = StreamingDataFrame.read_csv("filename", sep="\t", encoding="utf-8")
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The module can also stream an existing dataframe.
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::
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.. code-block:: python
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import pandas
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df = pandas.DataFrame([dict(cf=0, cint=0, cstr="0"),
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It contains other helpers to split datasets into
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* `documentation <https://sdpython.github.io/doc/pandas-streaming/dev/>`_

_doc/index.rst

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CHANGELOGS
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license
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**Links:**
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* `GitHub/pandas_streaming <https://github.com/sdpython/pandas_streaming/>`_
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* `documentation <https://sdpython.github.io/doc/pandas-streaming/dev/>`_
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Source are available at `sdpython/pandas_streaming <https://github.com/sdpython/pandas_streaming/>`_.

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