sigfig 1.3.19
pip install sigfig
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Python library for rounding numbers (with expected results)
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- License: MIT License (MIT License)
- Author: Michael Busuttil
- Maintainer: Michael Busuttil
- Tags round, rounding, significant figures, significant digits, sigfigs, sigdigs, decimals, uncertainty, uncertainties, numeric, numerical, number, numbers, data, format, style, publication
- Requires: Python <4.0, >=3.8
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- Development Status
- Intended Audience
- License
- Operating System
- Programming Language
-
Topic
- Education
- Education :: Computer Aided Instruction (CAI)
- Office/Business :: Financial
- Scientific/Engineering
- Scientific/Engineering :: Information Analysis
- Scientific/Engineering :: Mathematics
- Scientific/Engineering :: Physics
- Software Development
- Software Development :: Libraries
- Software Development :: Libraries :: Python Modules
- Utilities
Project description
This is the sigfig Python package used for rounding numbers (with expected results).
>>> round(0.25, 1)
0.2
>>> from sigfig import round
>>> round(0.25, decimals=1)
0.3
>>> round(3.14159, sigfigs=2)
3.1
>>> round(3.14159, uncertainty=0.003639)
'3.142 ± 0.004'
>>> round('3.141592653589793', '0.00000002567', format='Drake')
'3.141 592 654(26)'
Key Features:
round numbers by significant figures/digits
round numbers by decimal places
round numbers by uncertainty/error
format numbers in a variety of common styles & notations
read in numbers of any type
In-depth documentation can be found here:
Useful links:
Please direct any comments/suggestions/feedback/bugs to the issues page or submit a pull request
Thanks for downloading :)
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License (MIT License)
- Author: Michael Busuttil
- Maintainer: Michael Busuttil
- Tags round, rounding, significant figures, significant digits, sigfigs, sigdigs, decimals, uncertainty, uncertainties, numeric, numerical, number, numbers, data, format, style, publication
- Requires: Python <4.0, >=3.8
Classifiers
- Development Status
- Intended Audience
- License
- Operating System
- Programming Language
-
Topic
- Education
- Education :: Computer Aided Instruction (CAI)
- Office/Business :: Financial
- Scientific/Engineering
- Scientific/Engineering :: Information Analysis
- Scientific/Engineering :: Mathematics
- Scientific/Engineering :: Physics
- Software Development
- Software Development :: Libraries
- Software Development :: Libraries :: Python Modules
- Utilities
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on drakegroup/sigfig
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- Owner: https://github.com/drakegroup
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