================================================================================ pyexcel-xlsx - Let you focus on data, instead of xlsx format

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pyexcel-xlsx is a tiny wrapper library to read, manipulate and write data in xlsx and xlsm format using read_only mode reader, write_only mode writer from openpyxl. You are likely to use it with pyexcel <https://github.com/pyexcel/pyexcel>__.

Please note:

1. auto_detect_int flag will not take effect because openpyxl detect integer in python 3 by default.
2. skip_hidden_row_and_column will get a penalty where read_only mode cannot be used.

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.

Installation

You can install pyexcel-xlsx via pip:

.. code-block:: bash

$ pip install pyexcel-xlsx

or clone it and install it:

.. code-block:: bash

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

Usage

As a standalone library

Write to an xlsx file

Here's the sample code to write a dictionary to an xlsx file:

.. code-block:: python

>>> from pyexcel_xlsx 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.xlsx", data)

Read from an xlsx file

Here's the sample code:

.. code-block:: python

>>> from pyexcel_xlsx 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"]]}

Write an xlsx to memory

Here's the sample code to write a dictionary to an xlsx file:

.. code-block:: python

>>> from pyexcel_xlsx 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 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 |
+-------+-------+-------+

Writing to an xlsx file

Here is the sample code:

.. code-block:: python

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

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

Writing to a StringIO instance

You need to pass a StringIO instance to Writer:

.. code-block:: python

>>> data = [
...     [1, 2, 3],
...     [4, 5, 6]
... ]
>>> io = StringIO()
>>> sheet = pe.Sheet(data)
>>> io = sheet.save_to_memory("xlsx", 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

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

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.

.. 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

Before you commit

Please run::

$ make format

so as to beautify your code otherwise travis-ci may fail your unit test.

Change log

0.6.0 - 10.10.2020

Updated

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

0.5.8 - 28.12.2019

Updated

#. #34 <https://github.com/pyexcel/pyexcel-xlsx/issues/34>_: pin openpyxl>=2.6.1

0.5.7 - 15.02.2019

Added

#. pyexcel-io#66 <https://github.com/pyexcel/pyexcel-io/issues/66>_ pin openpyxl < 2.6.0

0.5.6 - 26.03.2018

Added

#. #24 <https://github.com/pyexcel/pyexcel-xlsx/issues/24>_, remove deprecated warning from merged_cell_ranges and get_sheet_by_name

0.5.5 - 18.12.2017

Added

#. #22 <https://github.com/pyexcel/pyexcel-xlsx/issues/22>_, to detect merged cell in xlsx - fast tracked patreon request.

0.5.4 - 2.11.2017

Updated

#. Align the behavior of skip_hidden_row_and_column. Default it to True.

0.5.3 - 2.11.2017

Added

#. #20 <https://github.com/pyexcel/pyexcel-xlsx/issues/20>_, skip hidden rows and columns under 'skip_hidden_row_and_column' flag.

0.5.2 - 23.10.2017

updated

#. pyexcel pyexcel#105 <https://github.com/pyexcel/pyexcel/issues/105>_, remove gease from setup_requires, introduced by 0.5.1. #. remove python2.6 test support #. update its dependecy on pyexcel-io to 0.5.3

0.5.1 - 20.10.2017

added

#. pyexcel#103 <https://github.com/pyexcel/pyexcel/issues/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.

Removed

#. #18 <https://github.com/pyexcel/pyexcel-xlsx/issues/18>_, is handled in pyexcel-io

0.4.2 - 25.08.2017

Updated

#. #18 <https://github.com/pyexcel/pyexcel-xlsx/issues/18>_, handle unseekable stream given by http response

0.4.1 - 16.07.2017

Removed

#. Removed useless code

0.4.0 - 19.06.2017

Updated

#. #14 <https://github.com/pyexcel/pyexcel-xlsx/issues/14>, close file handle #. pyexcel-io plugin interface now updated to use lml <https://github.com/chfw/lml>.

0.3.0 - 22.12.2016

Updated

#. Code refactoring with pyexcel-io v 0.3.0 #. #13 <https://github.com/pyexcel/pyexcel-xlsx/issues/13>_, turn read_only flag on openpyxl.

0.2.3 - 05.11.2016

Updated

#. #12 <https://github.com/pyexcel/pyexcel-xlsx/issues/12>_, remove UserWarning: Using a coordinate with ws.cell is deprecated. Use ws[coordinate]

0.2.2 - 31.08.2016

Added

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

0.2.1 - 12.07.2016

Added

#. #8 <https://github.com/pyexcel/pyexcel-xlsx/issues/8>__, skip_hidden_sheets is added. By default, hidden sheets are skipped when reading all sheets. Reading sheet by name or by index are not affected.

0.2.0 - 01.06.2016

Added

#. 'library=pyexcel-xlsx' was added to inform pyexcel to use it instead of other libraries, in the situation where there are more than one plugin for a file type, e.g. xlsm

Updated

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

0.1.0 - 17.01.2016

Added

#. Passing "streaming=True" to get_data, you will get the two dimensional array as a generator #. Passing "data=your_generator" to save_data is acceptable too.

Updated

#. compatibility with pyexcel-io 0.1.0