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A wrapper library to read, manipulate and write data in ods format

Project Description

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

Known constraints

Fonts, colors and charts are not supported.

Installation

You can install it via pip:

$ pip install pyexcel-ods3

or clone it and install it:

$ git clone https://github.com/pyexcel/pyexcel-ods3.git
$ cd pyexcel-ods3
$ 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 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 to. As a patreon, you will receive early access to pyexcel related contents.

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 ods file

Here’s the sample code to write a dictionary to an ods file:

>>> 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:

>>> 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:

>>> 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 = 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 ods from memory

Continue from previous example:

>>> # 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:

>>> 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:

>>> 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:

>>> 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:

>>> 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:

>>> 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:

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

Reading from a IO instance

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

>>> # 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 StringIO instance

You need to pass a StringIO instance to Writer:

>>> data = [
...     [1, 2, 3],
...     [4, 5, 6]
... ]
>>> io = StringIO()
>>> 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

  1. git clone https://github.com/pyexcel/pyexcel-ods3.git
  2. cd pyexcel-ods3

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

  1. pip install –upgrade setuptools pip

Then install relevant development requirements:

  1. pip install -r rnd_requirements.txt # if such a file exists
  2. pip install -r requirements.txt
  3. 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:

  1. pip install moban
  2. git clone https://github.com/moremoban/setupmobans.git # generic setup
  3. git clone https://github.com/pyexcel/pyexcel-commons.git commons
  4. 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

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

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.

Change log

0.5.0 - 30.08.2017

Updated

  1. 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

  1. All ods type conversion code lives in pyexcel_io.service module

0.4.1 - 17.08.2017

Updated

  1. update dependency to use pyexcel-ezodf v0.3.3 as ezodf 0.3.2 has the bug, cannot handle file alike objects and has not been updated for 2 years.

0.4.0 - 19.06.2017

Updated

  1. #14, close file handle
  2. pyexcel-io plugin interface now updated to use lml.

0.3.2 - 13.04.2017

Updated

  1. issue #8, PT288H00M00S is valid duration

0.3.1 - 02.02.2017

Added

  1. Recognize currency type

0.3.0 - 22.12.2016

Updated

  1. Code refactoring with pyexcel-io v 0.3.0

0.2.2 - 05.11.2016

Updated

  1. #11, be able to consume a generator of two dimensional arrays.

0.2.1 - 31.08.2016

Added

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

0.2.0 - 01.06.2016

Added

  1. 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.
  2. ‘library=pyexcel-ods3’ was added so as to inform pyexcel to use it instead of other libraries, in the situation where multiple plugins for the same file type are installed

Updated

  1. support the auto-import feature of pyexcel-io 0.2.0

0.1.0 - 17.01.2016

  1. compatibility with pyexcel-io 0.1.0
Release History

Release History

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyexcel_ods3-0.5.0-py2-none-any.whl (13.2 kB) Copy SHA256 Checksum SHA256 2.7 Wheel Aug 30, 2017
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