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SetPrecision 0.2.0
SetPrecision
About
SetPrecision is a small module providing a simple way to set the precision of a floating point number or decimal to the desired amount of digits following the decimal point.
Installation
Using PIP (Recommended)
Easiest method. Highly recommended over manual installation.
To install SetPrecision using pip, enter the following:
python -m pip install SetPrecision
Done!
Manual Installation
Not recommended.
Before use, navigate to intended installation location, and create a new directory.
Clone repository with the git client of your preference using the following command:
git clone https://github.com/schlopp96/SetPrecision/releases/latest
Install all dependencies for this package within said directory using:
pip install -r requirements.txt
(Optional): move installation directory to "path/to/Python/Libs/site_packages" to be able to import this package to a Python program like any other importable package.
Done!
Usage
In order to use SetPrecision, start by importing the module to your Python environment:
from SetPrecision import set_precision
Now, simply call the set_precision method and enter your desired number to be formatted as the number parameter, and the level of precision as the precision parameter:
>>> testA = 3.141592653589793 # Not necessary to set number as variable.
>>> testA = set_precision(testA, 2)
>>> print(testA)
'3.15'
>>> testB = 3.141592653589793
>>> testB = set_precision(testB, 4)
>>> print(testB)
'3.1416'
Note that the output is automatically rounded up when number >= 5, and down when number < 5.
Both params can be entered in string format, and will output successfully assuming that both parameters can be cast to their appropriate types.
This is done automatically.
Contact the Author
If you have any questions, comments, or concerns that cannot be alleviated through the project's GitHub repository, please feel free to contact me through my email address:
[email protected]
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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