Metadata-Version: 2.0
Name: pyexcel-xls
Version: 0.5.2
Summary: A wrapper library to read, manipulate and write data in xls format. It reads xlsx and xlsm format
Home-page: https://github.com/pyexcel/pyexcel-xls
Author: C.W.
Author-email: wangc_2011@hotmail.com
License: New BSD
Download-URL: https://github.com/pyexcel/pyexcel-xls/archive/0.5.2.tar.gz
Keywords: xls,xlsx,xlsmpython
Platform: UNKNOWN
Classifier: Topic :: Office/Business
Classifier: Topic :: Utilities
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Dist: pyexcel-io (>=0.5.3)
Requires-Dist: xlrd
Requires-Dist: xlwt

================================================================================
pyexcel-xls - Let you focus on data, instead of xls format
================================================================================

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

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

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

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


**pyexcel-xls** is a tiny wrapper library to read, manipulate and write data in xls format and it can read xlsx and xlsm fromat. You are likely to use it with `pyexcel <https://github.com/pyexcel/pyexcel>`_.

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

Fonts, colors and charts are not supported.

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


You can install pyexcel-xls via pip:

.. code-block:: bash

    $ pip install pyexcel-xls


or clone it and install it:

.. code-block:: bash

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

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

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

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

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


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

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

Write to an xls file
********************************************************************************



Here's the sample code to write a dictionary to an xls file:

.. code-block:: python

    >>> from pyexcel_xls import save_data
    >>> data = OrderedDict() # from collections import OrderedDict
    >>> data.update({"Sheet 1": [[1, 2, 3], [4, 5, 6]]})
    >>> data.update({"Sheet 2": [["row 1", "row 2", "row 3"]]})
    >>> save_data("your_file.xls", data)


Read from an xls file
********************************************************************************

Here's the sample code:

.. code-block:: python

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


Write an xls to memory
********************************************************************************

Here's the sample code to write a dictionary to an xls file:

.. code-block:: python

    >>> from pyexcel_xls import save_data
    >>> data = OrderedDict()
    >>> data.update({"Sheet 1": [[1, 2, 3], [4, 5, 6]]})
    >>> data.update({"Sheet 2": [[7, 8, 9], [10, 11, 12]]})
    >>> io = StringIO()
    >>> save_data(io, data)
    >>> # do something with the io
    >>> # In reality, you might give it to your http response
    >>> # object for downloading




Read from an xls from memory
********************************************************************************

Continue from previous example:

.. code-block:: python

    >>> # This is just an illustration
    >>> # In reality, you might deal with xls file upload
    >>> # where you will read from requests.FILES['YOUR_XLS_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 xls 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.xls", sheetx)

And let's pretend to read partial data:

.. code-block:: python

   >>> partial_data = get_data("huge_file.xls", 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.xls", 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.xls",
   ...     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 xls format,
installing it is enough.


Reading from an xls file
********************************************************************************

Here is the sample code:

.. code-block:: python

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


Writing to an xls file
********************************************************************************

Here is the sample code:

.. code-block:: python

    >>> sheet.save_as("another_file.xls")


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

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

.. code-block:: python

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


Writing to a StringIO instance
********************************************************************************

You need to pass a StringIO instance to Writer:

.. code-block:: python

    >>> data = [
    ...     [1, 2, 3],
    ...     [4, 5, 6]
    ... ]
    >>> io = StringIO()
    >>> sheet = pe.Sheet(data)
    >>> io = sheet.save_to_memory("xls", io)
    >>> # then do something with io
    >>> # In reality, you might give it to your http response
    >>> # object for downloading


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

New BSD License

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

Development steps for code changes

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

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

How to update test environment and update documentation
---------------------------------------------------------

Additional steps are required:

#. pip install moban
#. git clone https://github.com/moremoban/setupmobans.git # generic setup
#. git clone https://github.com/pyexcel/pyexcel-commons.git commons
#. make your changes in `.moban.d` directory, then issue command `moban`

What is pyexcel-commons
---------------------------------

Many information that are shared across pyexcel projects, such as: this developer guide, license info, etc. are stored in `pyexcel-commons` project.

What is .moban.d
---------------------------------

`.moban.d` stores the specific meta data for the library.

Acceptance criteria
-------------------

#. Has Test cases written
#. Has all code lines tested
#. Passes all Travis CI builds
#. Has fair amount of documentation if your change is complex
#. Please update CHANGELOG.rst
#. Please add yourself to CONTRIBUTORS.rst
#. Agree on NEW BSD License for your contribution

Known Issues
=============

* If a zero was typed in a DATE formatted field in xls, you will get "01/01/1900".
* If a zero was typed in a TIME formatted field in xls, you will get "00:00:00".


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

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
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

#. `#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
********************************************************************************

#. `#20 <https://github.com/pyexcel/pyexcel-xls/issues/20>`_, is handled in
   pyexcel-io
#. 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.

0.4.1 - 25.08.2017
--------------------------------------------------------------------------------

Updated
********************************************************************************

#. `#20 <https://github.com/pyexcel/pyexcel-xls/issues/20>`_, handle unseekable
   stream given by http response.

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

Updated
********************************************************************************

#. `#15 <https://github.com/pyexcel/pyexcel-xlsx/issues/15>`_, close file handle
#. pyexcel-io plugin interface now updated to use
   `lml <https://github.com/chfw/lml>`_.

0.3.3 - 30/05/2017
--------------------------------------------------------------------------------

Updated
********************************************************************************

#. `#18 <https://github.com/pyexcel/pyexcel-xls/issues/18>`_, pass on
   encoding_override and others to xlrd.

0.3.2 - 18.05.2017
--------------------------------------------------------------------------------

Updated
********************************************************************************

#. `#16 <https://github.com/pyexcel/pyexcel-xls/issues/16>`_, allow mmap to
   be passed as file content


0.3.1 - 16.01.2017
--------------------------------------------------------------------------------

Updated
********************************************************************************

#. `#14 <https://github.com/pyexcel/pyexcel-xls/issues/14>`_, Python 3.6 -
   cannot use LOCALE flag with a str pattern
#. fix its dependency on pyexcel-io 0.3.0

0.3.0 - 22.12.2016
--------------------------------------------------------------------------------

Updated
********************************************************************************

#. `#13 <https://github.com/pyexcel/pyexcel-xls/issues/13>`_, alert on empyty
   file content
#. Support pyexcel-io v0.3.0

0.2.3 - 20.09.2016
--------------------------------------------------------------------------------

Updated
********************************************************************************

#. `#10 <https://github.com/pyexcel/pyexcel-xls/issues/10>`_, To support
   generator as member of the incoming two dimensional data

0.2.2 - 31.08.2016
--------------------------------------------------------------------------------

Added
********************************************************************************

#. support pagination. two pairs: start_row, row_limit and start_column,
   column_limit help you deal with large files.

0.2.1 - 13.07.2016
--------------------------------------------------------------------------------

Added
********************************************************************************

#. `#9 <https://github.com/pyexcel/pyexcel-xls/issues/9>`_, `skip_hidden_sheets`
   is added. By default, hidden sheets are skipped when reading all sheets.
   Reading sheet by name or by index are not affected.


0.2.0 - 01.06.2016
--------------------------------------------------------------------------------

Added
********************************************************************************

#. By default, `float` will be converted to `int` where fits. `auto_detect_int`,
   a flag to switch off the autoatic conversion from `float` to `int`.
#. 'library=pyexcel-xls' was added so as to inform pyexcel to use it instead of
   other libraries, in the situation where there are more than one plugin for
   a file type, e.g. xlsm


Updated
********************************************************************************

#. support the auto-import feature of pyexcel-io 0.2.0
#. xlwt is now used for python 2 implementation while xlwt-future is used for
   python 3

0.1.0 - 17.01.2016
--------------------------------------------------------------------------------

Added
********************************************************************************

#. Passing "streaming=True" to get_data, you will get the two dimensional array
   as a generator
#. Passing "data=your_generator" to save_data is acceptable too.




