pyexcel-xlsx - Let you focus on data, instead of xlsx format
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.
Please note:
- auto_detect_int flag will not take effect because openpyxl detect integer in python 3 by default.
- 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 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.
Known constraints
Fonts, colors and charts are not supported.
Nor to read password protected xls, xlsx and ods files.
Installation
You can install pyexcel-xlsx via pip:
$ pip install pyexcel-xlsx
or clone it and install it:
$ git clone https://github.com/pyexcel/pyexcel-xlsx.git
$ cd pyexcel-xlsx
$ python setup.py install
Usage
As a standalone library
.. 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
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]]}
.. testcode::
:hide:
>>> os.unlink("huge_file.xlsx")
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:
>>> 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:
>>> 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
- 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.
.. testcode::
:hide:
>>> import os
>>> os.unlink("your_file.xlsx")
>>> os.unlink("another_file.xlsx")
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