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pyexcel/pyexcel-xlsxr: Read big xlsx files that openpyxl, xlrd could not do efficiently

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

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.

If your company uses pyexcel and its components in a revenue-generating product, please consider supporting the project on GitHub or Patreon. Your financial support will enable me to dedicate more time to coding, improving documentation, and creating engaging content.

Fonts, colors and charts are not supported.

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

You can install pyexcel-xlsxr via pip:

$ pip install pyexcel-xlsxr

or clone it and install it:

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

.. testcode::
   :hide:

    >>> import os
    >>> import sys
    >>> from io import BytesIO
    >>> from collections import OrderedDict

.. testcode::
   :hide:

    >>> 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:

>>> 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"]]}

.. 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

Continue from previous example:

>>> # 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]]}

Let's assume the following file is a huge xlsx 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.xlsx", sheetx)

And let's pretend to read partial data:

>>> 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:

>>> 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:

>>> 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]]}

.. testcode::
   :hide:

   >>> os.unlink("huge_file.xlsx")

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.

Here is the sample code:

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

.. testcode::
   :hide:

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

You got to wrap the binary content with stream to get xlsx working:

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

New BSD License

Development steps for code changes

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

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.yml

Note

As to rnd_requirements.txt, usually, it is created when a dependent library is not released. Once the dependency 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 advisable 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

Please run:

$ make format

so as to beautify your code otherwise your build may fail your unit test.

.. testcode::
   :hide:

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

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