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https://github.com/CoolProp/CoolProp.git
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19a4875879
* autopep8 rule-groups E101,W1,W2,W3 * autopep8 with rule group E3 (blank lines) autopep8 --in-place --recursive --max-line-length=200 --exclude="externals" --select="E101,E3,W1,W2,W3" . * tabs and space W191 * autopep8 aggressive
75 lines
2.2 KiB
Python
75 lines
2.2 KiB
Python
from __future__ import print_function
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from CPWeb.BibtexTools import getCitationOrAlternative, getBibtexParser
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import CoolProp
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import os.path
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web_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),'..'))
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csvfile = os.path.join(web_dir,'fluid_properties','Mixtures.csv')
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def merge_args(*args):
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return " :raw-html:`<br/>` ".join(list(args))
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def printCoeff(number):
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if number is None or \
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len(str(number).strip())<1:
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return " "
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number = float(number)
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short = "{0:.4e}".format(number)
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long = "{0:.14e}".format(number)
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return u':raw-html:`<span title="{1}">{0}</span>`'.format(short,long)
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class Dossier:
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def __init__(self):
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self.data = {}
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def add(self, key, value):
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if key not in self.data:
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self.data[key] = []
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self.data[key].append(value)
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d = Dossier()
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pairs = CoolProp.get('mixture_binary_pairs_list')
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print(len(pairs.split(',')))
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for pair in pairs.split(','):
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CAS1, CAS2 = pair.split('&')
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d.add('CAS1', CAS1)
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d.add('CAS2', CAS2)
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for key in ['name1','name2','F','function','BibTeX','xi','zeta','betaT','betaV','gammaT','gammaV']:
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try:
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d.add(key, CoolProp.CoolProp.get_mixture_binary_pair_data(CAS1, CAS2, key))
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except BaseException as BE:
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d.add(key, '')
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import pandas
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df = pandas.DataFrame(d.data)
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df = df.sort_values(by=['BibTeX','name1'], ascending = [0, 1])
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bibtexer = getBibtexParser()#filename = '../../../CoolPropBibTeXLibrary.bib')
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with open(csvfile,'w') as fp:
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header = 'Ref.,Name1,Name2,function,F,'
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header += merge_args("xi","zeta,")
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header += merge_args("betaT","betaV,")
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header += merge_args("gammaT","gammaV")
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header += '\n'
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fp.write(header)
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for index, row in df.iterrows():
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text = ','.join([ \
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getCitationOrAlternative(bibtexer,row['BibTeX']),
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row['name1'],
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row['name2'],
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row['function'],
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row['F'],
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merge_args(printCoeff(row['xi']),printCoeff(row['zeta'])),
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merge_args(printCoeff(row['betaT']),printCoeff(row['betaV'])),
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merge_args(printCoeff(row['gammaT']),printCoeff(row['gammaV']))
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])+'\n'
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fp.write(text)
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