pyexcel-odsr 0.3.0

a plugin to pyexcel and provides the capbility to read data in ods formats using tailored messytables.

pyexcel-odsr is a specialized ods reader based on tailored ods reader from messytables. You are likely to use it with pyexcel. Differring from pyexcel-ods and pyexcel-ods3 in handling ods file, this library could read partial content from a huge ods file.

Known constraints

Fonts, colors and charts are not supported.

Installation

You can install it via pip:

$ pip install pyexcel-odsr

or clone it and install it:

$ git clone http://github.com/pyexcel/pyexcel-odsr.git
$ cd pyexcel-odsr
$ python setup.py install

Usage

As a standalone library

Read from an ods file

Here’s the sample code:

>>> 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"]]}

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

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 |
+-------+-------+-------+

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 |
+-------+-------+-------+

License

New BSD License

Developer guide

Development steps for code changes

1. git clone https://github.com/pyexcel/pyexcel-odsr.git

2. cd pyexcel-odsr

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

1. pip install –upgrade setuptools “pip==7.1”

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

In order to update test environment, and documentation, additional setps are required:

1. pip install moban

2. git clone https://github.com/pyexcel/pyexcel-commons.git commons

3. make your changes in .moban.d directory, then issue command moban

What is 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.

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.

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 test

On Windows systems, please issue this command:

> test.bat

Credits

This library is based on the ods of messytables, Open Knowledge Foundation Ltd.

Change log

0.3.0 - 02.02.2017

1. initial release. It has all functionalities of pyexcel-ods and pyexcel-ods3. Specially, it supports partial reading of the ods file. When dealing with big data file, this capability enables pagination feature to indeed read partial files.