A wrapper library to read, manipulate and write data in ods format
Project description
pyexcel-ods is a tiny wrapper library to read, manipulate and write data in ods format using python 2.6 and python 2.7. You are likely to use it with pyexcel. pyexcel-ods3 is a sister library that depends on ezodf and lxml. pyexcel-odsr is the other sister library that has no external dependency but do ods reading only
Support the project
If your company has embedded pyexcel and its components into a revenue generating product, please support me on github, patreon or bounty source 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.
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-ods via pip:
$ pip install pyexcel-ods
or clone it and install it:
$ git clone https://github.com/pyexcel/pyexcel-ods.git
$ cd pyexcel-ods
$ python setup.py install
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_ods 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_ods 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_ods 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
cd pyexcel-ods
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.
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
ODSReader is originally written by Marco Conti
Change log
0.6.0 - 9.10.2020
added
new style reader and writer plugins. works with pyexcel-io v0.6.2
0.5.6 - 19.03.2019
added
0.5.5 - 16.03.2019
added
#32, fix odfpy pinning
0.5.4 - 27.11.2018
added
#30, long type will not be written in ods. please use string type. And if the integer is equal or greater than 10 to the power of 16, it will not be written either in ods. In both situation, IntegerPrecisionLossError will be raised.
0.5.3 - unreleased
added
0.5.2 - 23.10.2017
updated
pyexcel pyexcel#105, remove gease from setup_requires, introduced by 0.5.1.
remove python2.6 test support
0.5.1 - 20.10.2017
added
pyexcel#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
0.4.1 - 25.08.2017
Updated
pyexcel#23, handle unseekable stream given by http response
PR #22, hanle white spaces in a cell.
0.4.0 - 19.06.2017
Updated
pyexcel#14, close file handle
pyexcel-io plugin interface now updated to use lml.
0.3.3 - 07.05.2017
Updated
issue pyexcel#19, not all texts in a multi-node cell were extracted.
0.3.2 - 13.04.2017
Updated
issue pyexcel#17, empty new line is ignored
issue pyexcel#6, PT288H00M00S is valid duration
0.3.1 - 02.02.2017
Added
Recognize currency type
0.3.0 - 22.12.2016
Updated
Code refactoring with pyexcel-io v 0.3.0
0.2.2 - 24.10.2016
Updated
issue pyexcel#14, index error when reading a ods file that has non-uniform columns repeated property.
0.2.1 - 31.08.2016
Added
support pagination. two pairs: start_row, row_limit and start_column, column_limit help you deal with large files.
use odfpy 1.3.3 as compulsory package. offically support python 3
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-ods’ was added so as to inform pyexcel to use it instead of other libraries, in the situation where multiple plugins were installed.
Updated
support the auto-import feature of pyexcel-io 0.2.0
0.1.1 - 30.01.2016
Added
‘streaming’ is an extra option given to get_data. Only when ‘streaming’ is explicitly set to True, the data will be consisted of generators, hence will break your existing code.
uses yield in to_array and returns a generator
support multi-line text cell #5
feature migration from pyexcel-ods3 pyexcel/pyexcel-ods3#5
Updated
compatibility with pyexcel-io 0.1.1
0.0.12 - 10.10.2015
Updated
Bug fix: excessive trailing columns with empty values
0.0.11 - 26.09.2015
Updated
Complete fix for libreoffice datetime field
0.0.10 - 15.09.2015
Updated
Bug fix: date field could have datetime from libreoffice
0.0.9 - 21.08.2015
Updated
Bug fix: utf-8 string throw unicode exceptions
0.0.8 - 28.06.2015
Updated
Pin dependency odfpy 0.9.6 to avoid buggy odfpy 1.3.0
0.0.7 - 28.05.2015
Updated
Bug fix: “number-columns-repeated” is now respected
0.0.6 - 21.05.2015
Updated
get_data and save_data are seen across pyexcel-* extensions. remember them once and use them across all extensions.
0.0.5 - 22.02.2015
Added
Loads only one sheet from a multiple sheet book
Use New BSD License
0.0.4 - 14.12.2014
Updated
IO interface update as pyexcel-io introduced keywords.
initial release
0.0.3 - 08.12.2014
Updated
IO interface update as pyexcel-io introduced keywords.
initial release
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