Source code for yggdrasil.units

import re
import numpy as np
import pandas as pd
import unyt
from collections import OrderedDict
from yggdrasil import tools, constants
_unit_quantity = unyt.array.unyt_quantity
_unit_array = unyt.array.unyt_array
_ureg_unyt = None

    (k, tuple(list(v) + [_unit_quantity]))
    for k, v in constants.PYTHON_SCALARS.items()])
    list(constants.ALL_PYTHON_ARRAYS) + [_unit_array])
    list(constants.ALL_PYTHON_SCALARS) + [_unit_quantity])

[docs]def get_ureg(): r"""Get the unit registry.""" global _ureg_unyt if _ureg_unyt is None: _ureg_unyt = unyt.UnitRegistry('mks') _ureg_unyt.add("ac", 4046.86, dimensions=unyt.dimensions.area, tex_repr=r"\rm{ac}", offset=0.0, prefixable=False) _ureg_unyt.add("a", 100.0, dimensions=unyt.dimensions.area, tex_repr=r"\rm{a}", offset=0.0, prefixable=True) _ureg_unyt.add("j", 1.0,, tex_repr=r"\rm{J}", offset=0.0, prefixable=True) # _ureg_unyt.add("cel", 1.0, dimensions=unyt.dimensions.temperature, # tex_repr=r"^\circ\rm{C}", offset=-273.15, prefixable=True) # _ureg_unyt.add("j", 1.0, dimensions=unyt.dimensions.specific_flux, # tex_repr=r"\rm{Jy}", prefixable=True) # _ureg_unyt.add("CH2O", 1.0, dimensions=unyt.dimensions.dimensionless, # tex_repr=r"\rm{CH2O}", offset=0.0, prefixable=False) unyt._unit_lookup_table.inv_name_alternatives["acre"] = "ac" unyt._unit_lookup_table.inv_name_alternatives["are"] = "a" unyt._unit_lookup_table.inv_name_alternatives["hectare"] = "ha" unyt._unit_lookup_table.inv_name_alternatives["days"] = "day" return _ureg_unyt
[docs]def convert_to_pandas_timedelta(x): r"""Convert variable with time units to a pandas.Timedelta instance. Args: x (object): Scalar/array with units to convert to a pandas.Timedelta instance. Returns: pandas.Timedelta: Equivalent Timedelta variable. """ assert(has_units(x)) t_data = get_data(x) t_unit = get_units(x) unit_map = {'ns': 'ns', (tools.bytes2str(b'\xc2\xb5') + 's'): 'us', (tools.bytes2str(b'\xce\xbcs') + 's'): 'us', 'ms': 'ms', 's': 's', 'min': 'm', 'hr': 'h', 'day': 'D'} return pd.Timedelta(t_data, unit=unit_map[t_unit])
[docs]def convert_from_pandas_timedelta(x): r"""Covert a pandas.Timedelta instance to a scalar/array with time units. Args: x (pandas.Timedelta): Timedelta variable to convert. Returns: object: Equivalent scalar/array with units. """ return add_units(x.total_seconds(), 's')
[docs]def convert_matlab_unit_string(m_str): # pragma: matlab r"""Convert Matlab unit string to string that the Python package can understand. Args: m_str (str): Matlab units string to convert. Returns: str: Converted string. """ out = m_str replacements = {'h': 'hr'} regex_mu = [tools.bytes2str(b'\xc2\xb5'), tools.bytes2str(b'\xce\xbcs')] regex = r'(?P<name>[A-Za-z%s]+)' % ''.join(regex_mu) for x in re.finditer(regex, m_str): xdict = x.groupdict() if xdict['name'] in replacements: xdict['name'] = replacements[xdict['name']] out = out[:(x.start())] + xdict['name'] + out[(x.end()):] return out
[docs]def convert_R_unit_string(r_str): r"""Convert R unit string to string that the Python package can understand. Args: r_str (str): R units string to convert. Returns: str: Converted string. """ return convert_unit_string(r_str)
[docs]def convert_unit_string(orig_str, replacements=None): r"""Convert unit string to string that the Python package can understand. Args: orig_str (str): Original units string to convert. replacements (dict, optional): Mapping from unit to another. Defaults to empty dict. Returns: str: Converted string. """ if not orig_str.strip(): return '' out = [] if replacements is None: replacements = {'h': 'hr', 'hrs': 'hr', 'days': 'day', '100%': 'percent'} regex_mu = [tools.bytes2str(b'\xc2\xb5'), tools.bytes2str(b'\xce\xbcs'), tools.bytes2str(b'\xc2\xb0'), r'(?:100\%)'] regex = (r'(?P<paren>\()?(?P<name>[A-Za-z%s]+)' r'(?:(?:(?:\^)|(?:\*\*))?(?P<exp_paren>\()?(?P<exp>-?[0-9]+)' r'(?(exp_paren)\)))?' r'(?(paren)\)|)(?P<op> |(?:\*)|(?:\/))?' % ''.join(regex_mu)) out = '' if re.fullmatch(r'(?:%s)+' % regex, orig_str.strip()): for x in re.finditer(regex, orig_str.strip()): xdict = x.groupdict() if xdict['name'] in replacements: xdict['name'] = replacements[xdict['name']] if xdict['exp']: out += '({name}**{exp})'.format(**xdict) else: out += xdict['name'] if xdict['op']: if xdict['op'].isspace(): xdict['op'] = '*' out += xdict['op'] else: # pragma: debug print(repr(orig_str), type(orig_str)) m ='(?:%s)+' % regex, orig_str.strip()) if m: print(repr(, m.groupdict()) else: print('no match') for m in re.finditer(regex, orig_str.strip()): print(, m.groupdict()) raise Exception("Could not standardize units: %s" % repr(orig_str)) return out
[docs]def has_units(obj, check_dimensionless=False): r"""Determine if a Python object has associated units. Args: obj (object): Object to be tested for units. check_dimensionless (bool, optional): If True, an object with dimensionless units will return True. Returns: bool: True if the object has units, False otherwise. """ out = isinstance(obj, (_unit_quantity, _unit_array)) # out = hasattr(obj, 'units') if ((out and (obj.units == as_unit('dimensionless')) and (not check_dimensionless))): out = False return out
[docs]def get_units(obj): r"""Get the string representation of the units. Args: obj (object): Object to get units for. Returns: str: Units, empty if input object has none. """ if has_units(obj): out = str(obj.units) else: out = '' return out
[docs]def get_data(obj): r"""Get the array/scalar assocaited with the object. Args: obj (object): Object to get data for. Returns: np.ndarray: Numpy array representation of the underlying data. """ if has_units(obj, check_dimensionless=True): out = obj.to_ndarray() if out.ndim == 0: out = out.reshape((1, ))[0] else: out = obj return out
[docs]def add_units(arr, unit_str, dtype=None): r"""Add units to an array or scalar. Args: arr (np.ndarray, float, int): Scalar or array of data to add units to. unit_str (str): Unit string. dtype (np.dtype, optional): Numpy data type that should be maintained for array/qunatity with units. If not provided, this is determined from the array. Returns: unyt.unyt_array: Array with units. """ ureg = get_ureg() unit_str = tools.bytes2str(unit_str) if is_null_unit(unit_str): return arr unit_str = convert_unit_string(unit_str) if has_units(arr): return convert_to(arr, unit_str) if dtype is None: if isinstance(arr, np.ndarray): dtype = arr.dtype else: dtype = np.array([arr]).dtype try: if isinstance(arr, np.ndarray) and (arr.ndim > 0): out = unyt.unyt_array(arr, unit_str, dtype=dtype, registry=ureg) else: out = unyt.unyt_quantity(arr, unit_str, dtype=dtype, registry=ureg) except BaseException: raise ValueError("Error parsing unit: %s, type(%s)." % (repr(unit_str), type(unit_str))) return out
[docs]def are_compatible(units1, units2): r"""Check if two units are compatible. Args: units1 (str): First units string. units2 (str): Second units string. Returns: bool: True if the units are compatible, False otherwise. """ # Empty units always compatible if is_null_unit(units1) or is_null_unit(units2): return True if (not is_unit(units1)) or (not is_unit(units2)): return False x = add_units(1, units1) try: convert_to(x, units2) except ValueError: return False return True
[docs]def is_null_unit(ustr): r"""Determines if a string is a null unit. Args: ustr (str): String to test. Returns: bool: True if the string is '' or 'n/a', False otherwise. """ if (len(ustr) == 0) or (ustr == 'n/a'): return True return False
[docs]def as_unit(ustr): r"""Get unit object for the string. Args: ustr (str): Unit string. Returns: unyt.Unit: Unit object. Raises: ValueError: If the string is not a recognized unit. """ try: out = unyt.Unit(ustr, registry=get_ureg()) except unyt.exceptions.UnitParseError as e: raise ValueError(str(e)) return out
[docs]def is_unit(ustr): r"""Determine if a string is a valid unit. Args: ustr (str): String representation to test. Returns: bool: True if the string is a valid unit. False otherwise. """ ustr = tools.bytes2str(ustr) if is_null_unit(ustr): return True try: as_unit(ustr) except ValueError: return False return True
[docs]def convert_to(arr, new_units): r"""Convert quantity with units to new units. Objects without units will be returned with the new units. Args: arr (np.ndarray, float, int, unyt.unyt_array): Quantity with or without units. new_units (str): New units that should be applied. Returns: unyt.unyt_array: Array with new units. """ if is_null_unit(new_units): return arr if not has_units(arr): return add_units(arr, new_units) new_units = convert_unit_string(new_units) try: arr1 = get_data(arr) dtype = get_data(arr1).dtype out = arr2 = get_data(out) equal = (arr2.dtype == dtype) if not equal: out = add_units(arr2, new_units, dtype=dtype) except unyt.exceptions.UnitConversionError as e: raise ValueError(str(e)) return out
[docs]def get_conversion_function(old_units, new_units): r"""Get a function that will convert a scalar/array from one unit to another. Args: old_units (str): Units to convert from. new_units (str): Units to convert to. Returns: function: Conversion function that takes scalar/array as input and returns converted scalar/array. """ def fconvert(x): ux = add_units(x, old_units) return get_data(convert_to(ux, new_units)) return fconvert