pyexcel-odsr


Namepyexcel-odsr JSON
Version 0.6.0 PyPI version JSON
download
home_pagehttps://github.com/pyexcel/pyexcel-odsr
Summarya plugin to pyexcel and provides the capbility to read data in odsformats using tailored messytables.
upload_time2020-10-10 13:27:45
maintainer
docs_urlNone
authorchfw
requires_python>=3.6
licenseNew BSD
keywords python excel ods
VCS
bugtrack_url
requirements pyexcel-io lxml
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ================================================================================
pyexcel-odsr - Let you focus on data, instead of ods format
================================================================================

.. image:: https://raw.githubusercontent.com/pyexcel/pyexcel.github.io/master/images/patreon.png
   :target: https://www.patreon.com/chfw

.. image:: https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg
   :target: https://awesome-python.com/#specific-formats-processing

.. image:: https://travis-ci.org/pyexcel/pyexcel-odsr.svg?branch=master
   :target: http://travis-ci.org/pyexcel/pyexcel-odsr

.. image:: https://codecov.io/gh/pyexcel/pyexcel-odsr/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/pyexcel/pyexcel-odsr

.. image:: https://badge.fury.io/py/pyexcel-odsr.svg
   :target: https://pypi.org/project/pyexcel-odsr


.. image:: https://pepy.tech/badge/pyexcel-odsr/month
   :target: https://pepy.tech/project/pyexcel-odsr/month


.. image:: https://img.shields.io/gitter/room/gitterHQ/gitter.svg
   :target: https://gitter.im/pyexcel/Lobby

.. image:: https://img.shields.io/static/v1?label=continuous%20templating&message=%E6%A8%A1%E7%89%88%E6%9B%B4%E6%96%B0&color=blue&style=flat-square
    :target: https://moban.readthedocs.io/en/latest/#at-scale-continous-templating-for-open-source-projects

.. image:: https://img.shields.io/static/v1?label=coding%20style&message=black&color=black&style=flat-square
    :target: https://github.com/psf/black

**pyexcel-odsr** is a specialized ods reader based on tailored ods reader from
`messytables <https://github.com/okfn/messytables>`_.
You are likely to use it with `pyexcel <https://github.com/pyexcel/pyexcel>`_.
Differring from `pyexcel-ods <https://github.com/pyexcel/pyexcel-ods>`_ and
`pyexcel-ods3 <https://github.com/pyexcel/pyexcel-ods3>`_ in handling ods file, this
library could read partial content from a huge ods file.


Support the project
================================================================================

If your company has embedded pyexcel and its components into a revenue generating
product, please support me on github, `patreon <https://www.patreon.com/bePatron?u=5537627>`_
or `bounty source <https://salt.bountysource.com/teams/chfw-pyexcel>`_ to maintain
the project and develop it further.

If you are an individual, you are welcome to support me too and for however long
you feel like. As my backer, you will receive
`early access to pyexcel related contents <https://www.patreon.com/pyexcel/posts>`_.

And your issues will get prioritized if you would like to become my patreon as `pyexcel pro user`.

With your financial support, I will be able to invest
a little bit more time in coding, documentation and writing interesting posts.


Known constraints
==================

Fonts, colors and charts are not supported.

Installation
================================================================================


You can install pyexcel-odsr via pip:

.. code-block:: bash

    $ pip install pyexcel-odsr


or clone it and install it:

.. code-block:: bash

    $ git clone https://github.com/pyexcel/pyexcel-odsr.git
    $ cd pyexcel-odsr
    $ python setup.py install

Usage
================================================================================

As a standalone library
--------------------------------------------------------------------------------

Read from an ods file
********************************************************************************

Here's the sample code:

.. code-block:: python

    >>> from pyexcel_odsr import get_data
    >>> data = get_data("your_file.ods")
    >>> import json
    >>> print(json.dumps(data))
    {"Sheet 1": [[1, 2, 3], [4, 5, 6]], "Sheet 2": [["row 1", "row 2", "row 3"]]}



Read from an ods from memory
********************************************************************************

Continue from previous example:

.. code-block:: python

    >>> # This is just an illustration
    >>> # In reality, you might deal with ods file upload
    >>> # where you will read from requests.FILES['YOUR_ODS_FILE']
    >>> data = get_data(io)
    >>> print(json.dumps(data))
    {"Sheet 1": [[1, 2, 3], [4, 5, 6]], "Sheet 2": [[7, 8, 9], [10, 11, 12]]}


Pagination feature
********************************************************************************



Let's assume the following file is a huge ods file:

.. code-block:: python

   >>> huge_data = [
   ...     [1, 21, 31],
   ...     [2, 22, 32],
   ...     [3, 23, 33],
   ...     [4, 24, 34],
   ...     [5, 25, 35],
   ...     [6, 26, 36]
   ... ]
   >>> sheetx = {
   ...     "huge": huge_data
   ... }
   >>> save_data("huge_file.ods", sheetx)

And let's pretend to read partial data:

.. code-block:: python

   >>> partial_data = get_data("huge_file.ods", start_row=2, row_limit=3)
   >>> print(json.dumps(partial_data))
   {"huge": [[3, 23, 33], [4, 24, 34], [5, 25, 35]]}

And you could as well do the same for columns:

.. code-block:: python

   >>> partial_data = get_data("huge_file.ods", start_column=1, column_limit=2)
   >>> print(json.dumps(partial_data))
   {"huge": [[21, 31], [22, 32], [23, 33], [24, 34], [25, 35], [26, 36]]}

Obvious, you could do both at the same time:

.. code-block:: python

   >>> partial_data = get_data("huge_file.ods",
   ...     start_row=2, row_limit=3,
   ...     start_column=1, column_limit=2)
   >>> print(json.dumps(partial_data))
   {"huge": [[23, 33], [24, 34], [25, 35]]}

As a pyexcel plugin
--------------------------------------------------------------------------------

No longer, explicit import is needed since pyexcel version 0.2.2. Instead,
this library is auto-loaded. So if you want to read data in ods format,
installing it is enough.


Reading from an ods file
********************************************************************************

Here is the sample code:

.. code-block:: python

    >>> import pyexcel as pe
    >>> sheet = pe.get_book(file_name="your_file.ods")
    >>> sheet
    Sheet 1:
    +---+---+---+
    | 1 | 2 | 3 |
    +---+---+---+
    | 4 | 5 | 6 |
    +---+---+---+
    Sheet 2:
    +-------+-------+-------+
    | row 1 | row 2 | row 3 |
    +-------+-------+-------+



Reading from a IO instance
********************************************************************************

You got to wrap the binary content with stream to get ods working:

.. code-block:: python

    >>> # This is just an illustration
    >>> # In reality, you might deal with ods file upload
    >>> # where you will read from requests.FILES['YOUR_ODS_FILE']
    >>> odsfile = "another_file.ods"
    >>> with open(odsfile, "rb") as f:
    ...     content = f.read()
    ...     r = pe.get_book(file_type="ods", file_content=content)
    ...     print(r)
    ...
    Sheet 1:
    +---+---+---+
    | 1 | 2 | 3 |
    +---+---+---+
    | 4 | 5 | 6 |
    +---+---+---+
    Sheet 2:
    +-------+-------+-------+
    | row 1 | row 2 | row 3 |
    +-------+-------+-------+




License
================================================================================

New BSD License

Developer guide
==================

Development steps for code changes

#. git clone https://github.com/pyexcel/pyexcel-odsr.git
#. cd pyexcel-odsr

Upgrade your setup tools and pip. They are needed for development and testing only:

#. pip install --upgrade setuptools pip

Then install relevant development requirements:

#. pip install -r rnd_requirements.txt # if such a file exists
#. pip install -r requirements.txt
#. pip install -r tests/requirements.txt

Once you have finished your changes, please provide test case(s), relevant documentation
and update CHANGELOG.rst.

.. note::

    As to rnd_requirements.txt, usually, it is created when a dependent
    library is not released. Once the dependecy is installed
    (will be released), the future
    version of the dependency in the requirements.txt will be valid.


How to test your contribution
------------------------------

Although `nose` and `doctest` are both used in code testing, it is adviable that unit tests are put in tests. `doctest` is incorporated only to make sure the code examples in documentation remain valid across different development releases.

On Linux/Unix systems, please launch your tests like this::

    $ make

On Windows systems, please issue this command::

    > test.bat


Before you commit
------------------------------

Please run::

    $ make format

so as to beautify your code otherwise travis-ci may fail your unit test.


Credits
================================================================================

This library is based on the ods of messytables, Open Knowledge Foundation Ltd.





1 contributors
================================================================================

In alphabetical order:

* `Jona <https://github.com/jonadem>`_

Change log
================================================================================

0.6.0 - 10.10.2020
--------------------------------------------------------------------------------

**Updated**

#. New style xlsx plugins, promoted by pyexcel-io v0.6.2.

0.5.2 - 23.10.2017
--------------------------------------------------------------------------------

**updated**

#. `pyexcel#105 <https://github.com/pyexcel/pyexcel/issues/105>`_, remove gease
   from setup_requires, introduced by 0.5.1.
#. remove python2.6 test support
#. update its dependecy on pyexcel-io to 0.5.3

0.5.1 - 20.10.2017
--------------------------------------------------------------------------------

**added**

#. `pyexcel#103 <https://github.com/pyexcel/pyexcel/issues/103>`_, include
   LICENSE file in MANIFEST.in, meaning LICENSE file will appear in the released
   tar ball.

0.5.0 - 30.08.2017
--------------------------------------------------------------------------------

**Updated**

#. put dependency on pyexcel-io 0.5.0, which uses cStringIO instead of StringIO.
   Hence, there will be performance boost in handling files in memory.

**Relocated**

#. All ods type conversion code lives in pyexcel_io.service module
#. `#4 <https://github.com/pyexcel/pyexcel-odsr/issues/4>`_, handle unseekable
   stream given by http response.

0.4.3 - 25.08.2017
--------------------------------------------------------------------------------

**Relocated**

#. All ods type conversion code lives in pyexcel_io.service module
#. `#4 <https://github.com/pyexcel/pyexcel-odsr/issues/4>`_, handle unseekable
   stream given by http response.

0.4.2 - 20.08.2017
--------------------------------------------------------------------------------

0.4.1 - 26.07.2017
--------------------------------------------------------------------------------

**Updated**

#. PR `#3 <https://github.com/pyexcel/pyexcel-odsr/pull/3>`_, support fods, flat
   ods file

0.4.0 - 19.06.2017
--------------------------------------------------------------------------------

**Updated**

#. Updated to use lml interface

0.3.2 - 07.05.2017
--------------------------------------------------------------------------------

**Updated**

#. issue `#2 <https://github.com/pyexcel/pyexcel-odsr/issues/2>`_, not all texts
   in a multi-node cell were extracted.

0.3.1 - 13.04.2017
--------------------------------------------------------------------------------

**Updated**

#. issue `#1 <https://github.com/pyexcel/pyexcel-odsr/issues/1>`_, PT288H00M00S
   is valid duration
#. initial release. It has all functionalities of pyexcel-ods and pyexcel-ods3.
   Specially, it supports partial reading of the ods file. When dealing with big
   data file, this capability enables pagination feature to indeed read partial
   files.

0.3.0 - 02.02.2017
--------------------------------------------------------------------------------

**Updated**

#. issue `#1 <https://github.com/pyexcel/pyexcel-odsr/issues/1>`_, PT288H00M00S
   is valid duration
#. initial release. It has all functionalities of pyexcel-ods and pyexcel-ods3.
   Specially, it supports partial reading of the ods file. When dealing with big
   data file, this capability enables pagination feature to indeed read partial
   files.




            

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    "description": "================================================================================\npyexcel-odsr - Let you focus on data, instead of ods format\n================================================================================\n\n.. image:: https://raw.githubusercontent.com/pyexcel/pyexcel.github.io/master/images/patreon.png\n   :target: https://www.patreon.com/chfw\n\n.. image:: https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg\n   :target: https://awesome-python.com/#specific-formats-processing\n\n.. image:: https://travis-ci.org/pyexcel/pyexcel-odsr.svg?branch=master\n   :target: http://travis-ci.org/pyexcel/pyexcel-odsr\n\n.. image:: https://codecov.io/gh/pyexcel/pyexcel-odsr/branch/master/graph/badge.svg\n   :target: https://codecov.io/gh/pyexcel/pyexcel-odsr\n\n.. image:: https://badge.fury.io/py/pyexcel-odsr.svg\n   :target: https://pypi.org/project/pyexcel-odsr\n\n\n.. image:: https://pepy.tech/badge/pyexcel-odsr/month\n   :target: https://pepy.tech/project/pyexcel-odsr/month\n\n\n.. image:: https://img.shields.io/gitter/room/gitterHQ/gitter.svg\n   :target: https://gitter.im/pyexcel/Lobby\n\n.. image:: https://img.shields.io/static/v1?label=continuous%20templating&message=%E6%A8%A1%E7%89%88%E6%9B%B4%E6%96%B0&color=blue&style=flat-square\n    :target: https://moban.readthedocs.io/en/latest/#at-scale-continous-templating-for-open-source-projects\n\n.. image:: https://img.shields.io/static/v1?label=coding%20style&message=black&color=black&style=flat-square\n    :target: https://github.com/psf/black\n\n**pyexcel-odsr** is a specialized ods reader based on tailored ods reader from\n`messytables <https://github.com/okfn/messytables>`_.\nYou are likely to use it with `pyexcel <https://github.com/pyexcel/pyexcel>`_.\nDifferring from `pyexcel-ods <https://github.com/pyexcel/pyexcel-ods>`_ and\n`pyexcel-ods3 <https://github.com/pyexcel/pyexcel-ods3>`_ in handling ods file, this\nlibrary could read partial content from a huge ods file.\n\n\nSupport the project\n================================================================================\n\nIf your company has embedded pyexcel and its components into a revenue generating\nproduct, please support me on github, `patreon <https://www.patreon.com/bePatron?u=5537627>`_\nor `bounty source <https://salt.bountysource.com/teams/chfw-pyexcel>`_ to maintain\nthe project and develop it further.\n\nIf you are an individual, you are welcome to support me too and for however long\nyou feel like. As my backer, you will receive\n`early access to pyexcel related contents <https://www.patreon.com/pyexcel/posts>`_.\n\nAnd your issues will get prioritized if you would like to become my patreon as `pyexcel pro user`.\n\nWith your financial support, I will be able to invest\na little bit more time in coding, documentation and writing interesting posts.\n\n\nKnown constraints\n==================\n\nFonts, colors and charts are not supported.\n\nInstallation\n================================================================================\n\n\nYou can install pyexcel-odsr via pip:\n\n.. code-block:: bash\n\n    $ pip install pyexcel-odsr\n\n\nor clone it and install it:\n\n.. code-block:: bash\n\n    $ git clone https://github.com/pyexcel/pyexcel-odsr.git\n    $ cd pyexcel-odsr\n    $ python setup.py install\n\nUsage\n================================================================================\n\nAs a standalone library\n--------------------------------------------------------------------------------\n\nRead from an ods file\n********************************************************************************\n\nHere's the sample code:\n\n.. code-block:: python\n\n    >>> from pyexcel_odsr import get_data\n    >>> data = get_data(\"your_file.ods\")\n    >>> import json\n    >>> print(json.dumps(data))\n    {\"Sheet 1\": [[1, 2, 3], [4, 5, 6]], \"Sheet 2\": [[\"row 1\", \"row 2\", \"row 3\"]]}\n\n\n\nRead from an ods from memory\n********************************************************************************\n\nContinue from previous example:\n\n.. code-block:: python\n\n    >>> # This is just an illustration\n    >>> # In reality, you might deal with ods file upload\n    >>> # where you will read from requests.FILES['YOUR_ODS_FILE']\n    >>> data = get_data(io)\n    >>> print(json.dumps(data))\n    {\"Sheet 1\": [[1, 2, 3], [4, 5, 6]], \"Sheet 2\": [[7, 8, 9], [10, 11, 12]]}\n\n\nPagination feature\n********************************************************************************\n\n\n\nLet's assume the following file is a huge ods file:\n\n.. code-block:: python\n\n   >>> huge_data = [\n   ...     [1, 21, 31],\n   ...     [2, 22, 32],\n   ...     [3, 23, 33],\n   ...     [4, 24, 34],\n   ...     [5, 25, 35],\n   ...     [6, 26, 36]\n   ... ]\n   >>> sheetx = {\n   ...     \"huge\": huge_data\n   ... }\n   >>> save_data(\"huge_file.ods\", sheetx)\n\nAnd let's pretend to read partial data:\n\n.. code-block:: python\n\n   >>> partial_data = get_data(\"huge_file.ods\", start_row=2, row_limit=3)\n   >>> print(json.dumps(partial_data))\n   {\"huge\": [[3, 23, 33], [4, 24, 34], [5, 25, 35]]}\n\nAnd you could as well do the same for columns:\n\n.. code-block:: python\n\n   >>> partial_data = get_data(\"huge_file.ods\", start_column=1, column_limit=2)\n   >>> print(json.dumps(partial_data))\n   {\"huge\": [[21, 31], [22, 32], [23, 33], [24, 34], [25, 35], [26, 36]]}\n\nObvious, you could do both at the same time:\n\n.. code-block:: python\n\n   >>> partial_data = get_data(\"huge_file.ods\",\n   ...     start_row=2, row_limit=3,\n   ...     start_column=1, column_limit=2)\n   >>> print(json.dumps(partial_data))\n   {\"huge\": [[23, 33], [24, 34], [25, 35]]}\n\nAs a pyexcel plugin\n--------------------------------------------------------------------------------\n\nNo longer, explicit import is needed since pyexcel version 0.2.2. Instead,\nthis library is auto-loaded. So if you want to read data in ods format,\ninstalling it is enough.\n\n\nReading from an ods file\n********************************************************************************\n\nHere is the sample code:\n\n.. code-block:: python\n\n    >>> import pyexcel as pe\n    >>> sheet = pe.get_book(file_name=\"your_file.ods\")\n    >>> sheet\n    Sheet 1:\n    +---+---+---+\n    | 1 | 2 | 3 |\n    +---+---+---+\n    | 4 | 5 | 6 |\n    +---+---+---+\n    Sheet 2:\n    +-------+-------+-------+\n    | row 1 | row 2 | row 3 |\n    +-------+-------+-------+\n\n\n\nReading from a IO instance\n********************************************************************************\n\nYou got to wrap the binary content with stream to get ods working:\n\n.. code-block:: python\n\n    >>> # This is just an illustration\n    >>> # In reality, you might deal with ods file upload\n    >>> # where you will read from requests.FILES['YOUR_ODS_FILE']\n    >>> odsfile = \"another_file.ods\"\n    >>> with open(odsfile, \"rb\") as f:\n    ...     content = f.read()\n    ...     r = pe.get_book(file_type=\"ods\", file_content=content)\n    ...     print(r)\n    ...\n    Sheet 1:\n    +---+---+---+\n    | 1 | 2 | 3 |\n    +---+---+---+\n    | 4 | 5 | 6 |\n    +---+---+---+\n    Sheet 2:\n    +-------+-------+-------+\n    | row 1 | row 2 | row 3 |\n    +-------+-------+-------+\n\n\n\n\nLicense\n================================================================================\n\nNew BSD License\n\nDeveloper guide\n==================\n\nDevelopment steps for code changes\n\n#. git clone https://github.com/pyexcel/pyexcel-odsr.git\n#. cd pyexcel-odsr\n\nUpgrade your setup tools and pip. They are needed for development and testing only:\n\n#. pip install --upgrade setuptools pip\n\nThen install relevant development requirements:\n\n#. pip install -r rnd_requirements.txt # if such a file exists\n#. pip install -r requirements.txt\n#. pip install -r tests/requirements.txt\n\nOnce you have finished your changes, please provide test case(s), relevant documentation\nand update CHANGELOG.rst.\n\n.. note::\n\n    As to rnd_requirements.txt, usually, it is created when a dependent\n    library is not released. Once the dependecy is installed\n    (will be released), the future\n    version of the dependency in the requirements.txt will be valid.\n\n\nHow to test your contribution\n------------------------------\n\nAlthough `nose` and `doctest` are both used in code testing, it is adviable that unit tests are put in tests. `doctest` is incorporated only to make sure the code examples in documentation remain valid across different development releases.\n\nOn Linux/Unix systems, please launch your tests like this::\n\n    $ make\n\nOn Windows systems, please issue this command::\n\n    > test.bat\n\n\nBefore you commit\n------------------------------\n\nPlease run::\n\n    $ make format\n\nso as to beautify your code otherwise travis-ci may fail your unit test.\n\n\nCredits\n================================================================================\n\nThis library is based on the ods of messytables, Open Knowledge Foundation Ltd.\n\n\n\n\n\n1 contributors\n================================================================================\n\nIn alphabetical order:\n\n* `Jona <https://github.com/jonadem>`_\n\nChange log\n================================================================================\n\n0.6.0 - 10.10.2020\n--------------------------------------------------------------------------------\n\n**Updated**\n\n#. New style xlsx plugins, promoted by pyexcel-io v0.6.2.\n\n0.5.2 - 23.10.2017\n--------------------------------------------------------------------------------\n\n**updated**\n\n#. `pyexcel#105 <https://github.com/pyexcel/pyexcel/issues/105>`_, remove gease\n   from setup_requires, introduced by 0.5.1.\n#. remove python2.6 test support\n#. update its dependecy on pyexcel-io to 0.5.3\n\n0.5.1 - 20.10.2017\n--------------------------------------------------------------------------------\n\n**added**\n\n#. `pyexcel#103 <https://github.com/pyexcel/pyexcel/issues/103>`_, include\n   LICENSE file in MANIFEST.in, meaning LICENSE file will appear in the released\n   tar ball.\n\n0.5.0 - 30.08.2017\n--------------------------------------------------------------------------------\n\n**Updated**\n\n#. put dependency on pyexcel-io 0.5.0, which uses cStringIO instead of StringIO.\n   Hence, there will be performance boost in handling files in memory.\n\n**Relocated**\n\n#. All ods type conversion code lives in pyexcel_io.service module\n#. `#4 <https://github.com/pyexcel/pyexcel-odsr/issues/4>`_, handle unseekable\n   stream given by http response.\n\n0.4.3 - 25.08.2017\n--------------------------------------------------------------------------------\n\n**Relocated**\n\n#. All ods type conversion code lives in pyexcel_io.service module\n#. `#4 <https://github.com/pyexcel/pyexcel-odsr/issues/4>`_, handle unseekable\n   stream given by http response.\n\n0.4.2 - 20.08.2017\n--------------------------------------------------------------------------------\n\n0.4.1 - 26.07.2017\n--------------------------------------------------------------------------------\n\n**Updated**\n\n#. PR `#3 <https://github.com/pyexcel/pyexcel-odsr/pull/3>`_, support fods, flat\n   ods file\n\n0.4.0 - 19.06.2017\n--------------------------------------------------------------------------------\n\n**Updated**\n\n#. 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It has all functionalities of pyexcel-ods and pyexcel-ods3.\n   Specially, it supports partial reading of the ods file. When dealing with big\n   data file, this capability enables pagination feature to indeed read partial\n   files.\n\n\n\n",
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