A wrapper library to read, manipulate and write data in xls format. It reads xlsx and xlsm format
Project description
pyexcel-xls is a tiny wrapper library to read, manipulate and write data in xls format and it can read xlsx and xlsm fromat. 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-xls
or clone it and install it:
$ git clone http://github.com/chfw/pyexcel-xls.git $ cd pyexcel-xls $ python setup.py install
Usage
As a standalone library
Write to an xls file
Here’s the sample code to write a dictionary to an xls file:
>>> from pyexcel_xls import XLWriter >>> 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"]]}) >>> writer = XLWriter("your_file.xls") >>> writer.write(data) >>> writer.close()
Read from an xls file
Here’s the sample code:
>>> from pyexcel_xls import XLBook >>> book = XLBook("your_file.xls") >>> # book.sheets() returns a dictionary of all sheet content >>> # the keys represents sheet names >>> # the values are two dimensional array >>> import json >>> print(json.dumps(book.sheets())) {"Sheet 1": [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], "Sheet 2": [["row 1", "row 2", "row 3"]]}
Write an xls to memory
Here’s the sample code to write a dictionary to an xls file:
>>> from pyexcel_xls import XLWriter >>> data = OrderedDict() >>> data.update({"Sheet 1": [[1, 2, 3], [4, 5, 6]]}) >>> data.update({"Sheet 2": [[7, 8, 9], [10, 11, 12]]}) >>> io = StringIO() >>> writer = XLWriter(io) >>> writer.write(data) >>> writer.close() >>> # do something witht the io >>> # In reality, you might give it to your http response >>> # object for downloading
Read from an xls from memory
Continue from previous example:
>>> # This is just an illustration >>> # In reality, you might deal with xls file upload >>> # where you will read from requests.FILES['YOUR_XL_FILE'] >>> book = XLBook(None, io.getvalue()) >>> print(json.dumps(book.sheets())) {"Sheet 1": [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], "Sheet 2": [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]}
As a pyexcel plugin
Import it in your file to enable this plugin:
from pyexcel.ext import xls
Please note only pyexcel version 0.0.4+ support this.
Reading from an xls file
Here is the sample code:
>>> import pyexcel as pe >>> from pyexcel.ext import xls # "example.xls" >>> sheet = pe.load_book("your_file.xls") >>> sheet Sheet Name: Sheet 1 +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ Sheet Name: Sheet 2 +-------+-------+-------+ | row 1 | row 2 | row 3 | +-------+-------+-------+
Writing to an xls file
Here is the sample code:
>>> sheet.save_as("another_file.xls")
Reading from a IO instance
You got to wrap the binary content with stream to get xls working:
>>> # This is just an illustration >>> # In reality, you might deal with xls file upload >>> # where you will read from requests.FILES['YOUR_XL_FILE'] >>> xlfile = "another_file.xls" >>> with open(xlfile, "rb") as f: ... content = f.read() ... r = pe.load_book_from_memory("xls", content) ... print(r) ... Sheet Name: Sheet 1 +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ Sheet Name: 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) >>> sheet.save_to_memory("xls", io) >>> # then do something with io >>> # In reality, you might give it to your http response >>> # object for downloading
License
New BSD License
Known Issues
If a zero was typed in a DATE formatted field in xls, you will get “01/01/1900”.
If a zero was typed in a TIME formatted field in xls, you will get “00:00:00”.
Dependencies
xlrd
xlwt-future
Project details
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