Skip to main content

Convert XLSX to 1-segment per row document

Project description

pyconverters_pyexcel

license tests codecov docs version PyPI - Python Version

Convert OCRized PDF to text using PyWord

Installation

You can simply pip install pyconverters_pyexcel.

Developing

Pre-requesites

You will need to install flit (for building the package) and tox (for orchestrating testing and documentation building):

python3 -m pip install flit tox

Clone the repository:

git clone https://github.com/oterrier/pyconverters_pyexcel

Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

tox

Building the documentation

You can build the HTML documentation with:

tox -e docs

The built documentation is available at `docs/_build/index.html.

Project details


Download files

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

Source Distribution

pyconverters_pyexcel-0.5.33.tar.gz (515.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyconverters_pyexcel-0.5.33-py3-none-any.whl (4.9 kB view details)

Uploaded Python 3

File details

Details for the file pyconverters_pyexcel-0.5.33.tar.gz.

File metadata

  • Download URL: pyconverters_pyexcel-0.5.33.tar.gz
  • Upload date:
  • Size: 515.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.32.4

File hashes

Hashes for pyconverters_pyexcel-0.5.33.tar.gz
Algorithm Hash digest
SHA256 83482f9951cc6e9e598f4b91855bf9d9df406d836a1824a45e2736f5ee529a10
MD5 977b041ef4666f656b5aeae0019d015f
BLAKE2b-256 a975e672a0365d5a3d46d543cc74859720266ebbef83b1b1f9152da76cf3cdf4

See more details on using hashes here.

File details

Details for the file pyconverters_pyexcel-0.5.33-py3-none-any.whl.

File metadata

File hashes

Hashes for pyconverters_pyexcel-0.5.33-py3-none-any.whl
Algorithm Hash digest
SHA256 e4236674da81d864a04a32e6939f2bdde30ea89fca23c8cc1be057e9bbe0be92
MD5 db0012ef41014d0861d5e781a352c883
BLAKE2b-256 bd4a6c739e76fb95b28bab163833d873688b300f69515be68e71ce22c5421764

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page