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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.
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.
Fonts, colors and charts are not supported.
Nor to read password protected xls, xlsx and ods files.
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
.. testcode:: :hide:
>>> import os
>>> import sys
>>> if sys.version_info[0] < 3:
... from StringIO import StringIO
... else:
... from io import BytesIO as StringIO
>>> PY2 = sys.version_info[0] == 2
>>> if PY2 and sys.version_info[1] < 7:
... from ordereddict import OrderedDict
... else:
... from collections import OrderedDict
.. testcode:: :hide:
>>> 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:
.. 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"]]}
.. testcode:: :hide:
>>> 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)
>>> unused = io.seek(0)
>>> # 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:
.. 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]]}
.. testcode:: :hide:
os.unlink("huge_file.ods")
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 |
+-------+-------+-------+
.. testcode:: :hide:
>>> 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 |
+-------+-------+-------+
New BSD License
Development steps for code changes
Upgrade your setup tools and pip. They are needed for development and testing only:
Then install relevant development requirements:
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.
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
Please run::
$ make format
so as to beautify your code otherwise travis-ci may fail your unit test.
This library is based on the ods of messytables, Open Knowledge Foundation Ltd.
.. testcode:: :hide:
import os os.unlink("your_file.ods") os.unlink("another_file.ods")