Skip to main content

A wrapper library to read, manipulate and write data in xlsx and xlsm format

Project description

https://api.travis-ci.org/pyexcel/pyexcel-xlsx.png https://codecov.io/github/pyexcel/pyexcel-xlsx/coverage.png

pyexcel-xlsx is a tiny wrapper library to read, manipulate and write data in xlsx and xlsm fromat using openpyxl. You are likely to use it with pyexcel.

Known constraints

Fonts, colors and charts are not supported.

Installation

You can install it via pip:

$ pip install pyexcel-xlsx

or clone it and install it:

$ git clone http://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:

>>> 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:

>>> 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:

>>> 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:

>>> # 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:

>>> 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]]}

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.

Any version under pyexcel 0.2.2, you have to keep doing the following:

Import it in your file to enable this plugin:

from pyexcel.ext import xlsx

Please note only pyexcel version 0.0.4+ support this.

Reading from an xlsx file

Here is the sample code:

>>> import pyexcel as pe
>>> # from pyexcel.ext import xlsx
>>> 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:

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

Reading from a IO instance

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

Writing to a StringIO instance

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

License

New BSD License

Developer guide

Development steps for code changes

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

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
  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

Change log

0.2.3 - 05.11.2016

Updated

  1. #12, remove UserWarning: Using a coordinate with ws.cell is deprecated. Use ws[coordinate]

0.2.2 - 31.08.2016

Added

  1. 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

  1. #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

  1. ‘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

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

0.1.0 - 17.01.2016

Added

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

Updated

  1. compatibility with pyexcel-io 0.1.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pyexcel-xlsx, version 0.2.3
Filename, size File type Python version Upload date Hashes
Filename, size pyexcel-xlsx-0.2.3.tar.gz (7.6 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page