Content-Length: 335440 | pFad | http://github.com/NOAA-ORR-ERD/PyNUCOS

8A GitHub - NOAA-ORR-ERD/PyNUCOS: Python NOAA Unit Converter for OIl Spills
Skip to content

NOAA-ORR-ERD/PyNUCOS

Repository files navigation

PyNUCOS

Python NOAA Unit Converter for Oil Spills

This repo provides a python package for doing physical unit conversion. It includes the odd units (API gravity, etc) that are used for oil spill response and planning, but not the odd units that other fields may require.

It also includes many common units for general use.

NOTE: NUCOS does NOT properly manage physical quantities -- rather it is helpful for working with units in the sloppy way humans often do. For example "pounds" is considered a unit of mass and can be converted, e.g. into kilograms -- this IS NOT PHYSICALLY correct, but it is useful.

It also handles "units" that are strictly dimensionless -- like mass fraction: e.g. g/kg. This is useful as you can convert to other dimensionless "units" like percent. But it does make the distinction between, e.g. mass fraction and volume fraction, so you can't convert between g/kg and ml/l, for example.

There are also a few utilities that are not strictly unit conversion:

  • Converting latitude/longitude to/from degrees, degrees minutes seconds, etc. (and formatting as Unicode objects)

NOTE: lat-long parsing and formatting is also available in the lat-long parser project

  • Converting to/from oil mass units to/from volume units: e.g. tons to barrels.

Installing

As of version 3, PyNUCOS is on PyPi and conda-forge, and of course, can be installed from source.

From PyPi:

pip install pynucos

From conda-forge:

conda install pynucos -c conda-forge

(the -c conda-forge is optional if you've already got the conda-forge channel)

From Source:

Get the source from gitHub:

https://github.com/NOAA-ORR-ERD/PyNUCOS

Then the usual:

pip install ./

Use Cases:

There are many unit conversion codes out there, but none that easily support the strange units used in oil spill response (and the petroleum industry in general), such as API Gravity and conversion of amount of oil from mass to volume.

This code is used as the core lib for a desktop unit conversion application:

https://github.com/NOAA-ORR-ERD/wxNUCOS

It is available as an installable binary from:

http://response.restoration.noaa.gov/oil-and-chemical-spills/oil-spills/response-tools/nucos-unit-converter-spill-responders.html

The code is also used in the NOAA Oil Spill modeling tools:

https://response.restoration.noaa.gov/oil-and-chemical-spills/oil-spills/response-tools/gnome-suite-oil-spill-modeling.html

Available on gitHub here:

https://github.com/NOAA-ORR-ERD

Javascript Version

There is also a Javascript version available for use in browser Client-side applications:

https://github.com/NOAA-ORR-ERD/jsNUCOS

Usage

Most of the primary functionality is available with a single function:

In [7]: from nucos import convert

In [8]: convert('gal', 'liter', 1.0)
Out[8]: 3.7854118

However, some unit names can have different meanings, e.g. fluid ounce and weight ounce, so can not be converted:

In [9]: convert('oz', 'ml', 1.0)
---------------------------------------------------------------------------
UnitConversionError                       Traceback (most recent call last)
<ipython-input-9-86edffc0a76a> in <module>
----> 1 convert('oz', 'ml', 1.0)

~/Hazmat/ERD-PythonPackages/PyNUCOS/nucos/unit_conversion.py in convert(unit1, unit2, value, unit_type)
    464
    465         if unit_type != unit_type2:
--> 466             raise UnitConversionError("Cannot convert {0} to {1}"
    467                                       .format(unit1, unit2))
    468

UnitConversionError: Cannot convert oz to ml

To be more clearly specified, the unit type can be passed as the first argument:

In [10]: convert('volume', 'oz', 'ml', 1.0)
Out[10]: 29.57353

In [16]: convert('mass', 'oz', 'gram', 1.0)
Out[16]: 28.349523

Latitude Longitude Conversion

There are functions for converting latitude and longitude to/from various formats.

Pass ustring=True to get a Unicode formatted string version.

In [24]: from nucos import LatLongConverter

In [25]: LatLongConverter.ToDecDeg(-45, 34, 12)
Out[25]: -45.57

In [26]: LatLongConverter.ToDecDeg(-45, 34, 12, ustring=True)
Out[26]: '-45.570000°'

In [27]: LatLongConverter.ToDegMin(-45.57)
Out[27]: (-45.0, 34.2)

In [28]: LatLongConverter.ToDegMin(-45.57, ustring=True)
Out[28]: "-45° 34.200'"

In [29]: LatLongConverter.ToDegMinSec(-45.57)
Out[29]: (-45.0, 34, 12.0)

In [30]: LatLongConverter.ToDegMinSec(-45.57, ustring=True)
Out[30]: '-45° 34\' 12.00"'

Unit names

Unit names are simple strings, and there are a lot of synonyms, both in ascii and Unicode formats.

The full list of units and names is in the NUCOS_unit_list.rst file.

You can programmatically access the unit types, unit names, etc, via assorted utility functions:

# get the names for a given unit type
nucos.get_supported_names('mass')
Out[15]:
['kilogram',
 'kg',
 'kilograms',
 'lb',
 'pounds',
 'lbs',
 'g',
 'grams',
 'mg',
 'µg',
 'ug',
 'tons',
 'uston',
 'tonne',
 'tonnes',
 'metric ton',
 'metric tons',
 'mt',
 'slugs',
 'oz',
 'ounces',
 'ukton',
 'long ton']

# all the available types
In [3]: nucos.get_unit_types()
Out[3]:
['Length',
 'Oil Concentration',
 'Area',
 'Volume',
 'Temperature',
 'Delta Temperature',
 'Mass',
 'Time',
 'Velocity',
 'Discharge',
 'Mass Discharge',
 'Density',
 'Kinematic Viscosity',
 'Dynamic Viscosity',
 'Interfacial Tension',
 'Pressure',
 'Concentration In Water',
 'Concentration',
 'Dimensionless',
 'Mass Fraction',
 'Volume Fraction',
 'Angular Measure',
 'Angular Velocity']


# Get the primary (spelled out) name for a unit
In [5]: nucos.get_primary_name('mg')
Out[5]: 'milligram'

# Get the abbreviation (short form) for a unit:
In [7]: nucos.get_abbreviation('microgram')
Out[7]: 'µg'

Release History

Version 3.2.0

Added a couple utilities for working with the names.

Version 3.1.2

Added some more synonyms for meter per second.

Version 3.1.1

Fixed a bug with GetUnitNames() and capitalization.

Version 3.1.0

Added code to get valid unit names for a given unit_type

Version 3.1.0

Added code to get valid unit names for a given unit_type

Version 3.0

The first release on PyPi -- major change in this release is the top-level package name is now nucos -- it used to be unit_conversion. The unit_conversion name is still there, but should raise a DeprecationWarning

Contributing

If you have any suggestions for improvements, bug fixes, etc, please post an issue on GitHub:

https://github.com/NOAA-ORR-ERD/PyNUCOS

Or better yet, make a Pull Request.

Development Notes

Testing

there is a fairly comprehensive set of tests in:

nucos/tests

they can be run with pytest -- either directly:

pytest nucos/tests

or on the installed package:

pytest --pyargs nucos

New units / unit names

Any additional units should be added to:

nucos/unit_data.py

It's a big nested dict with units, conversion factors and synonyms all there. Hopefully, it's self describing :-)

Please add a test if you add a new unit.

Be sure to run the tests after making any changes -- that will catch errors in the format, duplicate names, etc.

Releasing

Minor changes can be done directly in the main branch.

Checklist for a new release:

  • Make sure the tests all pass, of course
  • make sure the version is properly set: in nucos/__init__.py
  • Make sure that NUCOS_unit_list.rst has been updated -- it should happen when the tests are run.
  • Push to GitHub
  • Make a release on GitHub -- follow the tag convention already there.
  • Increment the __version__ in the main branch after making the release.
  • Push to PyPi: - conda install twine build (you can pip install those, too) - python -m build - twine upload dist/*

NOTE: At this point, only Chris Barker has permissions on PyPi to do this -- so either ask him to do it, or ask him for permissions.

  • Check conda-forge for a build: conda-forge should detect that a release was made on GitHub, and then build a new package -- you can check the progress here:

https://github.com/conda-forge/pynucos-feedstock

ChrisBarker-NOAA and JamesMakela-NOAA have permissions on the feedstock.









ApplySandwichStrip

pFad - (p)hone/(F)rame/(a)nonymizer/(d)eclutterfier!      Saves Data!


--- a PPN by Garber Painting Akron. With Image Size Reduction included!

Fetched URL: http://github.com/NOAA-ORR-ERD/PyNUCOS

Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy