A django middleware that provides one application programminginterface to read and write data in different excel file formats
Project description
Support the project
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.
Known constraints
Fonts, colors and charts are not supported.
Nor to read password protected xls, xlsx and ods files.
Introduction
Here is a typical conversation between the developer and the user:
User: "I have uploaded an excel file"
"but your application says un-supported file format"
Developer: "Did you upload an xlsx file or a csv file?"
User: "Well, I am not sure. I saved the data using "
"Microsoft Excel. Surely, it must be in an excel format."
Developer: "OK. Here is the thing. I were not told to support"
"all available excel formats in day 1. Live with it"
"or delay the project x number of days."
django-excel is based on pyexcel and makes it easy to consume/produce information stored in excel files over HTTP protocol as well as on file system. This library can turn the excel data into a list of lists, a list of records(dictionaries), dictionaries of lists. And vice versa. Hence it lets you focus on data in Django based web development, instead of file formats.
The idea behind pyexcel originated from a common usability problem: when Excel-driven web applications are delivered to non-developer users (e.g., project assistants, human resources administrators), they often are not aware of the differences between file formats such as CSV, XLS, and XLSX. Rather than training users on these formats, pyexcel provides web developers with a unified interface to handle most Excel file types.
To add support for a specific Excel format in your application, simply install an additional pyexcel plugin—no code changes required. This eliminates issues with different file formats. In the broader community, pyexcel and its associated libraries aim to be a simple, easy-to-install alternative to Pandas, where minimal data manipulation is needed.
The highlighted features are:
excel data import into and export from databases
turn uploaded excel file directly into Python data structure
pass Python data structures as an excel file download
provide data persistence as an excel file in server side
supports csv, tsv, csvz, tsvz by default and other formats are supported via the following plugins:
Package name |
Supported file formats |
Dependencies |
|---|---|---|
csvz,tsvz readers depends on chardet |
||
xls, xlsx(read only), xlsm(read only) |
||
xlsx |
||
ods |
pyexcel-ezodf, lxml |
|
ods |
Package name |
Supported file formats |
Dependencies |
|---|---|---|
xlsx(write only) |
||
xlsx(write only) |
||
xlsx(read only) |
lxml |
|
xlsb(read only) |
pyxlsb |
|
read only for ods, fods |
lxml |
|
write only for ods |
loxun |
|
html(read only) |
lxml,html5lib |
|
pdf(read only) |
camelot |
Plugin shopping guide
Since 2020, all pyexcel-io plugins have dropped the support for python versions which are lower than 3.6. If you want to use any of those Python versions, please use pyexcel-io and its plugins versions that are lower than 0.6.0.
Except csv files, xls, xlsx and ods files are a zip of a folder containing a lot of xml files
The dedicated readers for excel files can stream read
In order to manage the list of plugins installed, you need to use pip to add or remove a plugin. When you use virtualenv, you can have different plugins per virtual environment. In the situation where you have multiple plugins that does the same thing in your environment, you need to tell pyexcel which plugin to use per function call. For example, pyexcel-ods and pyexcel-odsr, and you want to get_array to use pyexcel-odsr. You need to append get_array(…, library=’pyexcel-odsr’).
Package name |
Supported file formats |
Dependencies |
Python versions |
|---|---|---|---|
write only:rst, mediawiki, html, latex, grid, pipe, orgtbl, plain simple read only: ndjson r/w: json |
2.6, 2.7, 3.3, 3.4 3.5, 3.6, pypy |
||
handsontable in html |
same as above |
||
svg chart |
2.7, 3.3, 3.4, 3.5 3.6, pypy |
||
sortable table in html |
same as above |
||
gantt chart in html |
except pypy, same as above |
Footnotes
This library makes information processing involving various excel files as easy as processing array, dictionary when processing file upload/download, data import into and export from SQL databases, information analysis and persistence. It uses pyexcel and its plugins:
to provide one uniform programming interface to handle csv, tsv, xls, xlsx, xlsm and ods formats.
to provide one-stop utility to import the data in uploaded file into a database and to export tables in a database as excel files for file download.
to provide the same interface for information persistence at server side: saving a uploaded excel file to and loading a saved excel file from file system.
Tested Django Versions
Installation
You can install django-excel via pip:
$ pip install django-excel
or clone it and install it:
$ git clone https://github.com/pyexcel-webwares/django-excel.git
$ cd django-excel
$ python setup.py install
Setup
You will need to update your settings.py:
FILE_UPLOAD_HANDLERS = ("django_excel.ExcelMemoryFileUploadHandler",
"django_excel.TemporaryExcelFileUploadHandler")
Usage
Here is the example viewing function codes:
from django.shortcuts import render_to_response
from django.http import HttpResponseBadRequest
from django import forms
from django.template import RequestContext
import django_excel as excel
class UploadFileForm(forms.Form):
file = forms.FileField()
def upload(request):
if request.method == "POST":
form = UploadFileForm(request.POST, request.FILES)
if form.is_valid():
filehandle = request.FILES['file']
return excel.make_response(filehandle.get_sheet(), "csv")
else:
return HttpResponseBadRequest()
else:
form = UploadFileForm()
return render_to_response('upload_form.html',
{'form': form},
context_instance=RequestContext(request))
def download(request):
sheet = excel.pe.Sheet([[1, 2],[3, 4]])
return excel.make_response(sheet, "csv")
Development guide
Development steps for code changes
cd django-excel
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.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.
How to test your contribution
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
Before you commit
Please run:
$ make format
so as to beautify your code otherwise your build may fail your unit test.
License
New BSD License
5 contributors
In alphabetical order:
Change log
0.0.13 - 31.10.2025
Change:
Replace pkg_resources-based Django version check with django.get_version()
Exclude .venv from flake8 check to simplify development
0.0.12 - not released
Change:
Support for django 2.0.x
Tested against django 4.1
Change xlrd version <=1.2.0
0.0.11 - not released
Updated
Test Support for django 3.x.x
Tested against django 3.x.x
0.0.10 - 11.01.2018
Added
pyexcel-io#46, expose bulk_save to django developers
0.0.9 - 12.07.2017
Added
bring isave_to_database and isave_book_to_database
0.0.8 - 07.07.2017
Added
pyexcel#39, explicitly seeking at 0
0.0.7 - 29.06.2017
Added
pyexcel#38, Support unicode code as download file name
0.0.6 - 12.22.2016
Updated
pyexcel#26, raise ioerror if content is empty.
Use pyexcel-webio v0.0.9 so as to push out new version of pyexcel and its plugins.
0.0.5 - 26.08.2016
Added:
Support for django 1.6.x
Tested against django 1.10
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