Skip to main content

A small package for using units in Python. Allows for computation with dimensioned qauntities and allows you to convert between different units. Do anything you would do with regular floats or integers in Python except now with units. I think you'll find this implementation more elegant then most other unit packages.

Project description

UnitValue Package

Introduction

The UnitValue package is designed to allow easy manipulation and conversion of numerical values associated with units. It currently supports both Imperial and Metric systems and includes commonly used units, with the flexibility to add more units as needed. It sworks with numpy as well.

This package is ideal for applications that require precise unit conversions and tracking of units alongside numerical values.

Installation

To install the UnitValue package, you can use the following command:

pip install UnitValue

Features

  • Create UnitValue objects with specified units and values.
  • Convert between different units within the same dimension (e.g., meters to kilometers).
  • Support for different measurement systems (e.g., metric and imperial).
  • Arithmetic operations with unit handling (addition, subtraction, multiplication, division).
  • Error handling for unsupported units and invalid operations.

Class and Methods Overview

UnitValue Attributes:

  • value (float): The numerical value.
  • unit (str): The unit associated with the value.
  • system (str): The measurement system (e.g., "METRIC", "IMPERIAL").
  • dimension (str): The dimension of the unit (e.g., "LENGTH", "MASS"). Methods:
  • init(self, value: float, unit: str): Initializes a UnitValue object.
  • create_unit(cls, unit: str, value: float=0) -> 'UnitValue': Creates unit object.
  • to(self, target_unit: str) -> 'UnitValue': Converts the current value to the specified unit.
  • convert_base_metric(self) -> 'UnitValue': Convert the current value to it's base SI/Metric unit.
  • add_custom_unitadd_custom_unit(cls, system: str, dimension:str, unit:str, conversion_factor: float) -> None: Allows you to add your own units to your instance of the package.
  • available_units(cls, system: str="", dimension: str="") -> str: Get available units for the specified measurement system and dimension.
  • unit_from_string(cls, unit_str:str) -> 'UnitValue': Create a UnitValue object from a formatted string (e.g., '10 m').
  • from_dict(cls, data: dict) -> 'UnitValue': Create a UnitValue object from a dictionary.
  • to_dict(self) -> dict: Convert the UnitValue object to a dictionary. Properties:
  • get_unit: returns unit string.
  • get_dimension: return dimension string.
  • get_system: returns system string.

Supported Units and Conversions

The package supports a wide range of units, including but not limited to:

METRIC:

DISTANCE: ['m', 'km', 'cm', 'mm']
PRESSURE: ['kg/ms^2', 'MPa', 'bar', 'kPa', 'hPa', 'Pa']
MASS: ['kg', 'tonne', 'g']
VELOCITY: ['m/s', 'km/s', 'km/h', 'cm/s', 'mm/s']
DENSITY: ['kg/m^3', 't/m^3', 'g/m^3']
VOLUME: ['m^3', 'L', 'cm^3', 'mL', 'mm^3']
AREA: ['m^2', 'km^2', 'cm^2', 'mm^2']
TEMPERATURE: ['K', 'c']
MASS FLOW RATE: ['kg/s', 't/s', 'kg/min', 'g/s']
ENERGY: ['kgm^2/s^2', 'MJ', 'kJ', 'Nm', 'J', 'eV']
TIME: ['s', 'h', 'min', 'ms']
MOMENTUM: ['kgm/s', 'Ns']
FREQUENCY: ['/s', 'Hz']
ACCELERATION: ['m/s^2', 'g']
FORCE: ['kgm/s^2', 'N', 'gcm/s^2']
ENERGY PER UNIT MASS: ['m^2/s^2']
MASS PER LENGTH: ['kg/m', 'kg/cm', 'g/cm']
MASS PER AREA: ['kg/m^2', 'g/cm^2']
VOLUMETRIC FLOW RATE: ['m^3/s', 'cm^3/s']
DYNAMIC VISCOCITY: ['kg/ms', 'g/cms']
KINEMATIC VISCOCITY: ['m^2/s', 'cm^2/s']
MASS FLUX: ['kg/m^2s']

IMPERIAL:

DISTANCE: ['in', 'mi', 'yd', 'ft']
PRESSURE: ['psi', 'psf']
MASS: ['lb', 'ton', 'slug', 'st', 'oz']
VELOCITY: ['ft/s', 'mi/s', 'mph', 'in/s']
DENSITY: ['lb/in^3', 'lb/ft^3', 'lb/yd^3']
VOLUME: ['gal', 'yd^3', 'ft^3', 'in^3']
AREA: ['in^2', 'mi^2', 'yd^2', 'ft^2']
TEMPERATURE: ['f', 'R']
MASS FLOW RATE: ['lb/s', 'ton/s', 'st/s', 'oz', 'lb/min']
ENERGY: ['ftlb', 'kcal', 'cal']
TIME: ['s', 'h', 'min', 'ms']
MOMENTUM: ['slugft/s', 'lbft/s']
FREQUENCY: ['rpm']
ACCELERATION: ['ft/s^2']
FORCE: ['lbf']
ENERGY PER UNIT MASS: ['ft^2/s^2']
MASS PER UNIT LENGTH: ['lb/ft', 'oz/in']
MASS PER AREA: ['lb/ft^2']
VOLUMETRIC FLOW RATE: ['ft^3/s', 'gal/s']
DYNAMIC VISCOCITY: ['lb/fts']
KINEMATIC VISCOCITY: ['ft^2/s']
MASS FLUX: ['lb/ft^2s']

Example Usage

Creating a UnitValue

To create a UnitValue object, use the create_dimensioned_quantity function:

from unitvalue import UnitValue

# Create a UnitValue object with a specified unit and value
distance = UnitValue.create_unit('meter', 100)
# Or initialize instance yourself
distance = UnitValue("METRIC", "DISTANCE", "m", 100)
# or initialize a unit from a string
distance = UnitValue.unit_from_string('100 m')
# or initialize from a dictionary
data = {'system':'METRIC', 'dimension':'DISTANCE', 'unit':'m', 'value':100}
distance = UnitValue.from_dict(data)

Arithmetic Operations

UnitValue objects support arithmetic operations, maintaining unit consistency (The units do not even need to be in the same system or magnitude for you to perform arithmetic on them as the package will handle this). It is important to know all arithmetic operations return a value in the base metric units

Converting Units

You can convert the unit of a UnitValue object using the to method:

# Convert the distance to kilometers
distance.to(unit='kilometer')
print(distance)  # Output: 0.1 kilometer

# Convert to base metric unit (Useful for Scinetifc calculations)
distance.convert_base_metric()
print(distance)

Basic Example

from unitvalue import UnitValue

length1 = UnitValue.create_unit('meter', 50)
length2 = UnitValue.create_unit('meter', 30)

# Addition
total_length = length1 + length2
print(total_length)  # Output: 80 m

# Subtraction
remaining_length = length1 - length2
print(remaining_length)  # Output: 20 m

# Multiplication by a scalar
double_length = length1 * 2
print(double_length)  # Output: 100 m

# Division by a scalar
half_length = length1 / 2
print(half_length)  # Output: 25 m

# Multiplication between UnitValue Objects
area = lenght1 * length2
print(area) # Output: 150 m^2

# Divivsion between UnitValue Objects
l = area / length2
print(l) # Output: 50 m

# UnitValue object to the power
werid unit = lenght1**3.5
print(weird_unit)  # Output: 125000 m^3

Contributing

Contributions are welcome! If you find any issues or have ideas for enhancements, feel free to open an issue or submit a pull request on GitHub.

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature-branch).
  3. Make your changes.
  4. Commit your changes (git commit -am 'Add new feature').
  5. Push to the branch (git push origin feature-branch).
  6. Open a Pull Request.

License

This package is distributed under the MIT License. See LICENSE for more information.

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

unitvalues-0.1.0.tar.gz (11.2 kB view details)

Uploaded Source

Built Distribution

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

UnitValues-0.1.0-py3-none-any.whl (12.0 kB view details)

Uploaded Python 3

File details

Details for the file unitvalues-0.1.0.tar.gz.

File metadata

  • Download URL: unitvalues-0.1.0.tar.gz
  • Upload date:
  • Size: 11.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.0

File hashes

Hashes for unitvalues-0.1.0.tar.gz
Algorithm Hash digest
SHA256 fdbd9148d0c4e3f1d6bd099f3cee7d5167703a0cd7037b5647cdbf034a28fbb4
MD5 47fb2a995b229e09acfacc3929080804
BLAKE2b-256 bf3a2c44b11316a2a8d93b55729420d8520458ed71dc7f5b27ec47ab92aa49df

See more details on using hashes here.

File details

Details for the file UnitValues-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: UnitValues-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 12.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.0

File hashes

Hashes for UnitValues-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2487b732fe76db4d4e59354575f6c746b04540b7b72a41e3a983d243eb057ceb
MD5 8f084c7f57f8e212cfe377f6be7c1d12
BLAKE2b-256 24ef7a3b8859ae8a8c06ce032b3d674fd0457041065c9455e1926f9a08112959

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