Wheelodex » Projects » xlsx2pandas

xlsx2pandas

View on PyPI — Reverse Dependencies (1)

0.0.1 xlsx2pandas-0.0.1-py3-none-any.whl

Wheel Details

Project: xlsx2pandas
Version: 0.0.1
Filename: xlsx2pandas-0.0.1-py3-none-any.whl
Download: [link]
Size: 11530
MD5: d97af8e18b09d7785a03c7d7d26aff7e
SHA256: 7325942d902d0f21ada6787e3b8c933e60b30f662dd0d15e78744e22bdc58994
Uploaded: 2024-02-13 08:24:27 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: xlsx2pandas
Version: 0.0.1
Summary: Library for obtaining pandas dataframes from xlsx and xlsm files
Author-Email: Anton Potapov <fgreyeducation[at]gmail.com>
License: MIT License Copyright (c) 2023 Anton Potapov Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Requires-Dist: openpyxl
Requires-Dist: pandas
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1136 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
xlsx2pandas/__init__.py sha256=8gJaiD_hAuJ9Zpj2cDGZQt-zg16xuXAKnqVxjV2rj8E 30
xlsx2pandas/cli.py sha256=8ZEZIHwkJXlrVVcRL4l1o1-NvKexCaV5j5kMrNYtuHY 324
xlsx2pandas/extractor.py sha256=ZrHVrge1yYQhIdAH6jTJ7enK6DjqeT_Kl6maDrq1Vxg 3232
xlsx2pandas/openpyxl_utils.py sha256=41c5IUIeGekuoz_wf1OnGTqruHO_JEWbMRxOBbIcEjg 2016
xlsx2pandas/utils.py sha256=K3Scop52ZvYiChHYoysP0u5KCVhmLuIXqN2eECxJcy0 584
xlsx2pandas/dataframe_construction/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
xlsx2pandas/dataframe_construction/general_constructor.py sha256=GcqpJEPGlA_eLZzxNA7EaF185bjJ8sIH_7PHj4FgaMc 927
xlsx2pandas/dataframe_construction/utils.py sha256=UZ22WfDO-E6ziAvi-ktgqG1tqyiZJuERzG2c0pB-PRY 966
xlsx2pandas/header_separation/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
xlsx2pandas/header_separation/general_separator.py sha256=cZLBNKvNqdAE4cHAwEqFJkxJrV5fTw9TzvW_sKcQY88 1687
xlsx2pandas/header_separation/utils.py sha256=MzDvlOhhKrV55ub4XzLJ1fI4gP0ZD12JkPm-2piX86o 815
xlsx2pandas/table_detection/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
xlsx2pandas/table_detection/general_detector.py sha256=4FQVs48KAEELbjfI_hCYRk24r2UxoblEQHRjK_759uc 2627
xlsx2pandas/table_detection/utils.py sha256=iOMtldC60RavVUZkUW3wDRMsjol9y72MfcspbXJbMrw 790
xlsx2pandas-0.0.1.data/scripts/xlsx2pandas sha256=ha4VE31Dj96QuZNvbXiN5rFjtQ4Lotc7vfv4u_qlxRo 755
xlsx2pandas-0.0.1.dist-info/LICENSE sha256=WswV6IrYDeuSn_MKmqHxoAqQqjI2uXlNM9SHydKT9Bo 1070
xlsx2pandas-0.0.1.dist-info/METADATA sha256=65XQ3ef73HkPN2Yewx5PtE6Dpo5emSo5R-GLsgE0aMg 2697
xlsx2pandas-0.0.1.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
xlsx2pandas-0.0.1.dist-info/top_level.txt sha256=n5G62FS0dmCLkAGWP_Lb85lmB49o7acec2WdxUydGj0 12
xlsx2pandas-0.0.1.dist-info/RECORD — —

top_level.txt

xlsx2pandas