pyexcel-xlsxw is a tiny wrapper library to write data in xlsx and xlsm fromat using xlsxwriter. You are likely to use it with pyexcel.

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.

Fonts, colors and charts are not supported.

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

You can install pyexcel-xlsxw via pip:

$ pip install pyexcel-xlsxw

or clone it and install it:

$ git clone https://github.com/pyexcel/pyexcel-xlsxw.git
$ cd pyexcel-xlsxw
$ 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

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

>>> from pyexcel_xlsxw 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)

Here's the sample code to help you read the data back. You will need to install pyexcel-xls or pyexcel-xlsx.

>>> from pyexcel_io 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"]]}

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

>>> from pyexcel_xlsxw 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

Here's the sample code to help you read the data back. You will need to install pyexcel-xls or pyexcel-xlsx.

>>> # 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, 'xlsx')
>>> print(json.dumps(data))
{"Sheet 1": [[1, 2, 3], [4, 5, 6]], "Sheet 2": [[7, 8, 9], [10, 11, 12]]}

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.

Let's assume we have data as the following.

>>> 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 |
+-------+-------+-------+

Here is the sample code:

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

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("xlsx", io)
>>> # then do something with io
>>> # In reality, you might give it to your http response
>>> # object for downloading

New BSD License

Development steps for code changes

1. git clone https://github.com/pyexcel/pyexcel-xlsxw.git
2. cd pyexcel-xlsxw

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

1. pip install --upgrade setuptools pip

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

Once you have finished your changes, please provide test case(s), relevant documentation and update CHANGELOG.rst.

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.

.. testcode::
   :hide:

   >>> import os
   >>> os.unlink("your_file.xlsx")
   >>> os.unlink("another_file.xlsx")