https://github.com/pyexcel/pyexcel-ods3
pyexcel-ods3 reads, manipulates and writes data in ods formats using ezodf
https://github.com/pyexcel/pyexcel-ods3
ods
Last synced: 5 months ago
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pyexcel-ods3 reads, manipulates and writes data in ods formats using ezodf
- Host: GitHub
- URL: https://github.com/pyexcel/pyexcel-ods3
- Owner: pyexcel
- License: other
- Created: 2014-10-11T21:15:02.000Z (almost 11 years ago)
- Default Branch: dev
- Last Pushed: 2025-04-18T07:47:15.000Z (6 months ago)
- Last Synced: 2025-05-07T16:08:31.905Z (5 months ago)
- Topics: ods
- Language: Python
- Homepage:
- Size: 324 KB
- Stars: 68
- Watchers: 4
- Forks: 13
- Open Issues: 6
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.rst
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
================================================================================
pyexcel-ods3 - 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://raw.githubusercontent.com/pyexcel/pyexcel-mobans/master/images/awesome-badge.svg
:target: https://awesome-python.com/#specific-formats-processing
.. image:: https://codecov.io/gh/pyexcel/pyexcel-ods3/branch/master/graph/badge.svg
:target: https://codecov.io/gh/pyexcel/pyexcel-ods3
.. image:: https://badge.fury.io/py/pyexcel-ods3.svg
:target: https://pypi.org/project/pyexcel-ods3
.. image:: https://anaconda.org/conda-forge/pyexcel-ods3/badges/version.svg
:target: https://anaconda.org/conda-forge/pyexcel-ods3
.. image:: https://pepy.tech/badge/pyexcel-ods3/month
:target: https://pepy.tech/project/pyexcel-ods3
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: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
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.. image:: https://img.shields.io/static/v1?label=coding%20style&message=black&color=black&style=flat-square
:target: https://github.com/psf/black
**pyexcel-ods3** is a tiny wrapper library to read, manipulate and write data in ods
format. You are likely to use `pyexcel `__ together
with this library. `pyexcel-ods `__ is a sister
library that depends on GPL licensed odfpy.
`pyexcel-odsr `_ is the other sister library
that has no external dependency but do ods reading only
Support the project
================================================================================
If your company uses pyexcel and its components in a revenue-generating product,
please consider supporting the project on GitHub or
`Patreon `_. Your financial
support will enable me to dedicate more time to coding, improving documentation,
and creating engaging content.
Known constraints
==================
Fonts, colors and charts are not supported.
Nor to read password protected xls, xlsx and ods files.
Installation
================================================================================
You can install pyexcel-ods3 via pip:
.. code-block:: bash
$ pip install pyexcel-ods3
or clone it and install it:
.. code-block:: bash
$ git clone https://github.com/pyexcel/pyexcel-ods3.git
$ cd pyexcel-ods3
$ python setup.py install
Usage
================================================================================
As a standalone library
--------------------------------------------------------------------------------
.. testcode::
:hide:
>>> import os
>>> import sys
>>> from io import BytesIO
>>> from collections import OrderedDict
Write to an ods file
********************************************************************************
Here's the sample code to write a dictionary to an ods file:
.. code-block:: python
>>> from pyexcel_ods3 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.ods", data)
Read from an ods file
********************************************************************************
Here's the sample code:
.. code-block:: python
>>> from pyexcel_ods3 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"]]}
Write an ods to memory
********************************************************************************
Here's the sample code to write a dictionary to an ods file:
.. code-block:: python
>>> from pyexcel_ods3 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 = BytesIO()
>>> save_data(io, data)
>>> # do something with the io
>>> # In reality, you might give it to your http response
>>> # object for downloading
.. testcode::
:hide:
>>> notneeded=io.seek(0)
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
********************************************************************************
Special notice 30/01/2017: due to the constraints of the underlying 3rd party
library, it will read the whole file before returning the paginated data. So
at the end of day, the only benefit is less data returned from the reading
function. No major performance improvement will be seen.
With that said, please install `pyexcel-odsr `_
and it gives better performance in pagination.
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]]}
.. testcode::
:hide:
>>> os.unlink("huge_file.ods")
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 |
+-------+-------+-------+
Writing to an ods file
********************************************************************************
Here is the sample code:
.. code-block:: python
>>> sheet.save_as("another_file.ods")
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 |
+-------+-------+-------+
Writing to a BytesIO instance
********************************************************************************
You need to pass a BytesIO instance to Writer:
.. code-block:: python
>>> data = [
... [1, 2, 3],
... [4, 5, 6]
... ]
>>> io = BytesIO()
>>> sheet = pe.Sheet(data)
>>> io = sheet.save_to_memory("ods", 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-ods3.git
#. cd pyexcel-ods3
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.yml
.. note::
As to rnd_requirements.txt, usually, it is created when a dependent
library is not released. Once the dependency 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 advisable
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, please issue this command::
> test.bat
Before you commit
------------------------------
Please run::
$ make format
so as to beautify your code otherwise your build may fail your unit test.
Installation Note
================================================================================
The installation of `lxml` will be tricky on Windows platform. It is recommended that you download a lxml's own windows installer instead of using pip.
.. testcode::
:hide:
>>> import os
>>> os.unlink("your_file.ods")
>>> os.unlink("another_file.ods")