Added script to generate fluid table in docs

Signed-off-by: Ian Bell <ian.h.bell@gmail.com>

Web/scripts/fluid_properties.Fluids.py

@@ -0,0 +1,67 @@
+from CPWeb.BibtexTools import getCitationOrAlternative, getBibtexParser
+import CoolProp
+import os.path
+import CoolProp
+
+web_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),'..'))
+root_dir = os.path.abspath(os.path.join(web_dir, '..')) 
+csvfile = os.path.join(web_dir,'fluid_properties','Fluids.csv')
+
+class Dossier:
+    def __init__(self):
+        self.data = {}
+    def add(self, key, value):
+        if key not in self.data:
+            self.data[key] = []
+        self.data[key].append(value)
+
+d = Dossier()
+
+from pybtex.database.input import bibtex
+parser = bibtex.Parser()
+bibdata = parser.parse_file(os.path.join(root_dir,"CoolPropBibTeXLibrary.bib"))
+
+bibtexer = getBibtexParser()
+
+bibtex_map = {'EOS': 'EOS',
+              'CP0': ':math:`c_{p0}`',
+              'CONDUCTIVITY': ':math:`\lambda`',
+              'VISCOSITY': ':math:`\eta`',
+              'MELTING_LINE': 'melt'}
+bibtex_keys = ['EOS','CP0','CONDUCTIVITY','VISCOSITY','MELTING_LINE']
+for fluid in CoolProp.__fluids__:
+    d.add('name', fluid)
+    for key in bibtex_keys:
+        try:
+            # get the item
+            s = CoolProp.CoolProp.get_BibTeXKey(fluid,key)
+            if s.strip() and s.strip() not in bibdata.entries.keys():
+                print 'problem', fluid, key, '\t\t\t\t', "|"+s+'|'
+                d.add(key, '')
+            else:
+                d.add(key, s)
+        except ValueError as E:
+            d.add(key, '')
+            
+import pandas
+df = pandas.DataFrame(d.data)
+df = df.sort(['name'], ascending = [1])
+
+def build_citation(key):
+    if not key:
+        return ''
+    else:
+        return ':cite:`'+key+'`'
+
+def fluid_reference(fluid):
+    return fluid
+
+# Write the table
+with open(csvfile,'w') as fp:
+    rowdata = ["Name"] + [bibtex_map[key] for key in bibtex_keys]
+    fp.write(','.join(rowdata)+'\n')
+    for index, row in df.iterrows():
+        rowdata = [fluid_reference(row['name'])] + [build_citation(row[key]) for key in bibtex_keys]
+        fp.write(','.join(rowdata)+'\n')
+        
+