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Library for developers to extract data from Microsoft Excel (tm) .xls spreadsheet files
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|Build Status|_ |Coverage Status|_ |Documentation|_ |PyPI version|_
.. |Build Status| image:: https://circleci.com/gh/python-excel/xlrd/tree/master.svg?style=shield .. _Build Status: https://circleci.com/gh/python-excel/xlrd/tree/master
.. |Coverage Status| image:: https://codecov.io/gh/python-excel/xlrd/branch/master/graph/badge.svg?token=lNSqwBBbvk .. _Coverage Status: https://codecov.io/gh/python-excel/xlrd
.. |Documentation| image:: https://readthedocs.org/projects/xlrd/badge/?version=latest .. _Documentation: http://xlrd.readthedocs.io/en/latest/?badge=latest
.. |PyPI version| image:: https://badge.fury.io/py/xlrd.svg .. _PyPI version: https://badge.fury.io/py/xlrd
xlrd is a library for reading data and formatting information from Excel
files in the historical .xls
format.
.. warning::
This library will no longer read anything other than .xls
files. For
alternatives that read newer file formats, please see http://www.python-excel.org/.
The following are also not supported but will safely and reliably be ignored:
Password-protected files are not supported and cannot be read by this library.
Quick start:
.. code-block:: python
import xlrd
book = xlrd.open_workbook("myfile.xls")
print("The number of worksheets is {0}".format(book.nsheets))
print("Worksheet name(s): {0}".format(book.sheet_names()))
sh = book.sheet_by_index(0)
print("{0} {1} {2}".format(sh.name, sh.nrows, sh.ncols))
print("Cell D30 is {0}".format(sh.cell_value(rowx=29, colx=3)))
for rx in range(sh.nrows):
print(sh.row(rx))
From the command line, this will show the first, second and last rows of each sheet in each file:
.. code-block:: bash
python PYDIR/scripts/runxlrd.py 3rows *blah*.xls
FAQs
Library for developers to extract data from Microsoft Excel (tm) .xls spreadsheet files
We found that xlrd demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
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