""" This file implements a psychrometric chart for air at 1 atm """ from CoolProp.HumidAirProp import HAProps from CoolProp.Plots.Plots import InlineLabel import matplotlib, numpy, textwrap import_template=( """ import numpy, matplotlib from CoolProp.HumidAirProp import HAProps from CoolProp.Plots.Plots import InlineLabel p = 101.325 Tdb = numpy.linspace(-10,60,100)+273.15 #Make the figure and the axes fig=matplotlib.pyplot.figure(figsize=(10,8)) ax=fig.add_axes((0.1,0.1,0.85,0.85)) """ ) closure_template=( """ matplotlib.pyplot.show() """ ) Tdb = numpy.linspace(-10,60,100)+273.15 p = 101.325 class PlotFormatting(object): def plot(self,ax): ax.set_xlim(Tdb[0]-273.15,Tdb[-1]-273.15) ax.set_ylim(0,0.03) ax.set_xlabel(r"Dry bulb temperature [$^{\circ}$C]") ax.set_ylabel(r"Humidity ratio ($m_{water}/m_{dry\ air}$) [-]") def __str__(self): return textwrap.dedent(""" ax.set_xlim(Tdb[0]-273.15,Tdb[-1]-273.15) ax.set_ylim(0,0.03) ax.set_xlabel(r"Dry bulb temperature [$^{\circ}$C]") ax.set_ylabel(r"Humidity ratio ($m_{water}/m_{dry\ air}$) [-]") """) class SaturationLine(object): def plot(self,ax): w = [HAProps('W','T',T,'P',p,'R',1.0) for T in Tdb] ax.plot(Tdb-273.15,w,lw=2) def __str__(self): return textwrap.dedent(""" # Saturation line w = [HAProps('W','T',T,'P',p,'R',1.0) for T in Tdb] ax.plot(Tdb-273.15,w,lw=2) """ ) class HumidityLabels(object): def __init__(self,RH_values,h): self.RH_values = RH_values self.h = h def plot(self,ax): xv = Tdb #[K] for RH in self.RH_values: yv = [HAProps('W','T',T,'P',p,'R',RH) for T in Tdb] y = HAProps('W','P',p,'H',self.h,'R',RH) T_K,w,rot = InlineLabel(xv, yv, y=y, axis = ax) string = r'$\phi$='+str(RH*100)+'%' #Make a temporary label to get its bounding box bbox_opts = dict(boxstyle='square,pad=0.0',fc='white',ec='None',alpha = 0.5) ax.text(T_K-273.15,w,string,rotation = rot,ha ='center',va='center',bbox=bbox_opts) def __str__(self): return textwrap.dedent(""" xv = Tdb #[K] for RH in {RHValues:s}: yv = [HAProps('W','T',T,'P',p,'R',RH) for T in Tdb] y = HAProps('W','P',p,'H',{h:f},'R',RH) T_K,w,rot = InlineLabel(xv, yv, y=y, axis = ax) string = r'$\phi$='+str(RH*100)+'%' bbox_opts = dict(boxstyle='square,pad=0.0',fc='white',ec='None',alpha = 0.5) ax.text(T_K-273.15,w,string,rotation = rot,ha ='center',va='center',bbox=bbox_opts) """.format(h=self.h, RHValues=str(self.RH_values)) ) class HumidityLines(object): def __init__(self,RH_values): self.RH_values = RH_values def plot(self,ax): for RH in self.RH_values: w = [HAProps('W','T',T,'P',p,'R',RH) for T in Tdb] ax.plot(Tdb-273.15,w,'r',lw=1) def __str__(self): return textwrap.dedent(""" # Humidity lines RHValues = {RHValues:s} for RH in RHValues: w = [HAProps('W','T',T,'P',p,'R',RH) for T in Tdb] ax.plot(Tdb-273.15,w,'r',lw=1) """.format(RHValues=str(self.RH_values)) ) class EnthalpyLines(object): def __init__(self,H_values): self.H_values = H_values def plot(self,ax): for H in self.H_values: #Line goes from saturation to zero humidity ratio for this enthalpy T1 = HAProps('T','H',H,'P',p,'R',1.0)-273.15 T0 = HAProps('T','H',H,'P',p,'R',0.0)-273.15 w1 = HAProps('W','H',H,'P',p,'R',1.0) w0 = HAProps('W','H',H,'P',p,'R',0.0) ax.plot(numpy.r_[T1,T0],numpy.r_[w1,w0],'r',lw=1) def __str__(self): return textwrap.dedent(""" # Humidity lines for H in {HValues:s}: #Line goes from saturation to zero humidity ratio for this enthalpy T1 = HAProps('T','H',H,'P',p,'R',1.0)-273.15 T0 = HAProps('T','H',H,'P',p,'R',0.0)-273.15 w1 = HAProps('W','H',H,'P',p,'R',1.0) w0 = HAProps('W','H',H,'P',p,'R',0.0) ax.plot(numpy.r_[T1,T0],numpy.r_[w1,w0],'r',lw=1) """.format(HValues=str(self.H_values)) ) if __name__=='__main__': fig=matplotlib.pyplot.figure(figsize=(10,8)) ax=fig.add_axes((0.1,0.1,0.85,0.85)) ax.set_xlim(Tdb[0]-273.15,Tdb[-1]-273.15) ax.set_ylim(0,0.03) ax.set_xlabel(r"Dry bulb temperature [$^{\circ}$C]") ax.set_ylabel(r"Humidity ratio ($m_{water}/m_{dry\ air}$) [-]") SL = SaturationLine() SL.plot(ax) RHL = HumidityLines([0.05,0.1,0.15,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]) RHL.plot(ax) RHLabels = HumidityLabels([0.05,0.1,0.15,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9], h=65) RHLabels.plot(ax) HL = EnthalpyLines(range(-20,100,10)) HL.plot(ax) PF = PlotFormatting() PF.plot(ax) matplotlib.pyplot.show() fp = open('PsychScript.py','w') for chunk in [import_template,SL,RHL,HL,PF,RHLabels,closure_template]: fp.write(str(chunk)) fp.close() execfile('PsychScript.py')