Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

pyexcel-xlsxr

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

pyexcel-xlsxr

Read xlsx file using partial xml

  • 0.6.1
  • PyPI
  • Socket score

Maintainers
1

================================================================================ pyexcel-xlsxr - Let you focus on data, instead of xlsx 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-xlsxr/branch/master/graph/badge.svg :target: https://codecov.io/gh/pyexcel/pyexcel-xlsxr

.. image:: https://badge.fury.io/py/pyexcel-xlsxr.svg :target: https://pypi.org/project/pyexcel-xlsxr

.. image:: https://img.shields.io/gitter/room/gitterHQ/gitter.svg :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 :target: https://moban.readthedocs.io/en/latest/#at-scale-continous-templating-for-open-source-projects

.. image:: https://img.shields.io/static/v1?label=coding%20style&message=black&color=black&style=flat-square :target: https://github.com/psf/black

pyexcel-xlsxr is a specialized xlsx reader using lxml. It does partial reading, meaning it wont load all content into memory.

lxml installation

This library depends on lxml. Because its availablity, the use of this library is restricted.

for PyPy, lxml == 3.4.4 are tested to work well. But lxml above 3.4.4 is difficult to get installed.

for Python 3.7, please use lxml==4.1.1.

Otherwise, this library works OK with lxml 3.4.4 or above.

Support the project

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.

Known constraints

Fonts, colors and charts are not supported.

Nor to read password protected xls, xlsx and ods files.

Installation

You can install pyexcel-xlsxr via pip:

.. code-block:: bash

$ pip install pyexcel-xlsxr

or clone it and install it:

.. code-block:: bash

$ git clone https://github.com/pyexcel/pyexcel-xlsxr.git
$ cd pyexcel-xlsxr
$ python setup.py install

Usage

As a standalone library

Read from an xlsx file


Here's the sample code:

.. code-block:: python

>>> from pyexcel_xlsxr import get_data
>>> data = get_data("your_file.xlsx")
>>> 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 xlsx from memory


Continue from previous example:

.. code-block:: python

>>> # This is just an illustration
>>> # In reality, you might deal with xlsx file upload
>>> # where you will read from requests.FILES['YOUR_XLSX_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 xlsx 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.xlsx", sheetx)

And let's pretend to read partial data:

.. code-block:: python

partial_data = get_data("huge_file.xlsx", 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.xlsx", 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.xlsx", ... 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 xlsx format, installing it is enough.

Reading from an xlsx file


Here is the sample code:

.. code-block:: python

>>> import pyexcel as pe
>>> sheet = pe.get_book(file_name="your_file.xlsx")
>>> 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 xlsx working:

.. code-block:: python

>>> # This is just an illustration
>>> # In reality, you might deal with xlsx file upload
>>> # where you will read from requests.FILES['YOUR_XLSX_FILE']
>>> xlsxfile = "another_file.xlsx"
>>> with open(xlsxfile, "rb") as f:
...     content = f.read()
...     r = pe.get_book(file_type="xlsx", 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

#. git clone https://github.com/pyexcel/pyexcel-xlsxr.git #. cd pyexcel-xlsxr

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 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, 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.

Change log

0.6.1 - 11.11.2024

Updated

#. #9: Potential fix for incorrect reading of data with empty cells when used with pyexcel

0.6.0 - 10.10.2020

Updated

#. New style xlsx plugins, promoted by pyexcel-io v0.6.2.

0.5.3 - 23.06.2020

Fixed

#. #5 <https://github.com/pyexcel/pyexcel-xlsxr/issues/5>: AttributeError when a cell text is None #. #2 <https://github.com/pyexcel/pyexcel-xlsxr/issues/2>: unit test failed in OpenSuSE

0.5.2 - 15.09.2018

Updated

#. Fix python 3 compactibility

0.5.1 - 14.07.2018

Updated

#. #1 <https://github.com/pyexcel/pyexcel-xlsxr/issues/1>_: fix xml parsing problem when the microsoft spreadsheetml 2009 ac name space 'x14ac' made lxml an idiot

0.5.0 - 24.11.2017

Added

#. Initial release. In order align it with pyexcel 0.5.0 release, its version start from 0.5.0

Keywords

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc