PEATDB/plugins/VantHoffAnalysis.py
def benchmarkLimitedData(self, E=None,d=None, method=1):
        """test any method with varying limited data"""
        if E==None and self.E != None:
            E = self.E; d=self.dmenu.getcurselection()

        path='vh_benchmark'
        if not os.path.exists(path):
            os.mkdir(path)
        dHvals=[]
        vals=[]
        if method == 1:
            L=range(5,140,5)
            for w in vals:
                dH, dS, ax = self.fitVantHoff(E,d,transwidth=w,show=False,
                                              figname=os.path.join(path,'%s_%s.png' %(d,w)))
        return
test any method with varying limited data
test any method with varying limited data
test any method with varying limited data
def benchmarkLimitedData(self, E=None,d=None, method=1):
        if E==None and self.E != None:
            E = self.E; d=self.dmenu.getcurselection()
        path='vh_benchmark'
        if not os.path.exists(path):
            os.mkdir(path)
        dHvals=[]
        vals=[]
        if method == 1:
            L=range(5,140,5)
            for w in vals:
                dH, dS, ax = self.fitVantHoff(E,d,transwidth=w,show=False,
                                              figname=os.path.join(path,'%s_%s.png' %(d,w)))
        return
def benchmarkLimitedData ( self , E = None , d = None , method = 1 ) : if E == None and self . E != None : E = self . E ; d = self . dmenu . getcurselection ( ) path = 'vh_benchmark' if not os . path . exists ( path ) : os . mkdir ( path ) dHvals = [ ] vals = [ ] if method == 1 : L = range ( 5 , 140 , 5 ) for w in vals : dH , dS , ax = self . fitVantHoff ( E , d , transwidth = w , show = False , figname = os . path . join ( path , '%s_%s.png' % ( d , w ) ) ) return
test any method with varying limited data
test any method with varying limited data
"""test any method with varying limited data"""
self
E
d
method