mcetl

View on PyPIReverse Dependencies (0)

0.4.2 mcetl-0.4.2-py3-none-any.whl

Wheel Details

Project: mcetl
Version: 0.4.2
Filename: mcetl-0.4.2-py3-none-any.whl
Download: [link]
Size: 142204
MD5: aae07e00daedd7c8eb82b53ab988c76c
SHA256: 1b838d5d389fb286f2a2e5e76d5d6955010b2cd142e7f3b9605034aefc7ec489
Uploaded: 2021-02-02 23:48:33 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: mcetl
Version: 0.4.2
Summary: A small-scale Extract-Transform-Load framework focused on materials characterization.
Author: Donald Erb
Author-Email: donnie.erb[at]gmail.com
Home-Page: https://github.com/derb12/mcetl
License: BSD 3-clause
Keywords: materials characterization,materials science,materials engineering
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.7
Requires-Dist: asteval
Requires-Dist: lmfit (>=1.0)
Requires-Dist: matplotlib (>=3.1)
Requires-Dist: numpy (>=1.8)
Requires-Dist: openpyxl (>=2.4)
Requires-Dist: pandas (>=0.25)
Requires-Dist: pysimplegui (>=4.29)
Requires-Dist: scipy
Description-Content-Type: text/x-rst
[Description omitted; length: 10256 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
mcetl/__init__.py sha256=N61jdNoscBcEKJDkqIU1wijHmghbCR65rIS9tg_GHZ0 1689
mcetl/data_source.py sha256=Sd1_HsIMh9zn-l9ckPARfCqkVBATZF4q78aAIXUjfoY 37863
mcetl/excel_writer.py sha256=wv8i43UFZvKfkIZRWv6QMgXrgmIZNPrs5h-AGF1_z9A 28053
mcetl/file_organizer.py sha256=4Bsw9_MVqRL7him5tuhQgx2sQGjC4VBOXKGwcoh8cnI 30422
mcetl/functions.py sha256=jJl5XgnGv-Dwt-Fe8U6Rd5LWkjShTOGoj0bsPU0SrQc 16600
mcetl/main_gui.py sha256=npREKSZK0eAetgw3hA_HiQnr97iwokqxxT8dqWgovFs 57591
mcetl/plot_utils.py sha256=EqXUrO8rhMi8wtp9JFTcf99D3tG2MNpm_KTRnIxs1TU 20519
mcetl/raw_data.py sha256=hqrmPE2Bgu4zxNYqnZmRjYOOgBqAxjpOQaLgbgXEs2k 35963
mcetl/utils.py sha256=0vsL9rN0rxen_6XTDadMuGbl06TQ8dhfJd4FTFYn1fk 64946
mcetl/fitting/__init__.py sha256=4Ct3-erRJnxMtfbclA56dHaRSRgzK5ghjA5PYJ_s0bs 611
mcetl/fitting/fitting_gui.py sha256=zG76YENyBYXyDOjUS1oYwEnnx5YdjlrSlBYtU-vvWHk 67380
mcetl/fitting/fitting_utils.py sha256=MeZnHQqLhF5eguSHzZ-36rwZdgPAhLylzs9u5Mmx2Nc 18824
mcetl/fitting/models.py sha256=zncvwIllt32nWSqgI401DTjdQ338gtNnEo9QxOsZo9Q 2979
mcetl/fitting/peak_fitting.py sha256=OZYbiFvWSUXygeOkY6qmDtoOGm8yU-PkPl-mV58GXbQ 77222
mcetl/plotting/__init__.py sha256=NZ_C0NWucFnM0hcO0xxFA3-FjI8ds6QsA8lSZ_imI0A 452
mcetl/plotting/plotting_gui.py sha256=e1xNcL9YQGJumMA1iOXSROpk5diYnCNfTsyZZQMJkAE 155728
mcetl-0.4.2.dist-info/LICENSE.txt sha256=Rmz77MsckqB50lxbOuFyG8B4Y5h5iog2FJ40qEVK7qE 1552
mcetl-0.4.2.dist-info/METADATA sha256=v0EY51zl3P7ilgBQiaDflgAQwrCNSAiO8NzvMqMSwJ8 11580
mcetl-0.4.2.dist-info/WHEEL sha256=YUYzQ6UQdoqxXjimOitTqynltBCkwY6qlTfTh2IzqQU 97
mcetl-0.4.2.dist-info/top_level.txt sha256=zTJeZwMPjovnbDMytKOjykdD1pU5xqUw54ckdDgTB6s 6
mcetl-0.4.2.dist-info/RECORD

top_level.txt

mcetl