Source code for climada.util.value_representation
"""
This file is part of CLIMADA.
Copyright (C) 2017 ETH Zurich, CLIMADA contributors listed in AUTHORS.
CLIMADA is free software: you can redistribute it and/or modify it under the
terms of the GNU General Public License as published by the Free
Software Foundation, version 3.
CLIMADA is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with CLIMADA. If not, see <https://www.gnu.org/licenses/>.
---
Created on Mon Nov 16 19:21:42 2020
@author: ckropf
"""
import logging
import math
import numpy as np
import decimal
LOGGER = logging.getLogger(__name__)
ABBREV = {
1:'',
1000: 'K',
1000000: 'M',
1000000000: 'Bn',
1000000000000: 'Tn'
}
[docs]def sig_dig(x, n_sig_dig = 16):
"""
Rounds x to n_sig_dig number of significant digits.
0, inf, Nan are returned unchanged.
Examples: n_sig_dig = 5
1.234567 -> 1.2346, 123456.89 -> 123460.0
Parameters
----------
x : float
number to be rounded
n_sig_dig : int, optional
Number of significant digits. The default is 16.
Returns
-------
float
Rounded number
"""
num_of_digits = len(str(x).replace(".", ""))
if n_sig_dig >= num_of_digits:
return x
n = math.floor(math.log10(abs(x)) + 1 - n_sig_dig)
result = decimal.Decimal(str(np.round(x * 10**(-n)))) \
* decimal.Decimal(str(10**n))
return float(result)
[docs]def sig_dig_list(iterable, n_sig_dig=16):
"""
Vectorized form of sig_dig. Rounds a list of float to a number
of significant digits
Parameters
----------
iterable : iter(float)
iterable of numbers to be rounded
n_sig_dig : int, optional
Number of significant digits. The default is 16.
Returns
-------
list
list of rounded floats
"""
return np.vectorize(sig_dig)(iterable, n_sig_dig)
[docs]def value_to_monetary_unit(values, n_sig_dig=None, abbreviations=None):
"""
Converts list of values to closest common monetary unit
0, Nan and inf have not unit.
Parameters
----------
values : int or float, list(int or float) or np.ndarray(int or float)
Values to be converted
n_sig_dig : int, optional
Number of significant digits to return.
Examples n_sig_di=5: 1.234567 -> 1.2346, 123456.89 -> 123460.0
Default: all digits are returned.
abbreviations: dict, optional
Name of the abbreviations for the money 1000s counts
Default:
{
1:'',
1000: 'K',
1000000: 'M',
1000000000: 'Bn',
1000000000000: 'Tn'}
Returns
-------
mon_val : np.ndarray
Array of values in monetary unit
name : string
Monetary unit
Examples
--------
values = [1e6, 2*1e6, 4.5*1e7, 0, Nan, inf] ->
[1, 2, 4.5, 0, Nan, inf]
['M']
"""
if isinstance(values, (int, float)):
values = [values]
if abbreviations is None:
abbreviations= ABBREV
exponents = []
for val in values:
if math.isclose(val, 0) or not math.isfinite(val):
continue
exponents.append(math.log10(abs(val)))
if not exponents: exponents = [0]
max_exp = max(exponents)
min_exp = min(exponents)
avg_exp = math.floor((max_exp + min_exp) / 2) # rounded down
mil_exp = 3 * math.floor(avg_exp/3)
thsder = int(10**mil_exp) #Remove negative exponents
thsder = 1 if thsder < 1 else thsder
try:
name = abbreviations[thsder]
except KeyError:
LOGGER.warning("Warning: The numbers are larger than %s", list(abbreviations.keys())[-1])
thsder, name = list(abbreviations.items())[-1]
mon_val = np.array(values) / thsder
if n_sig_dig is not None:
mon_val = [sig_dig(val, n_sig_dig=n_sig_dig) for val in mon_val]
return (mon_val, name)