Renamed python wrapper files for now to CoolProp5 - python wrapper is coming together. Dropped xdress and building it manually.

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

wrappers/Python/CoolProp5/Plots/PsychScript.py

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+
+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))
+
+# Saturation line
+w = [HAProps('W','T',T,'P',p,'R',1.0) for T in Tdb]
+ax.plot(Tdb-273.15,w,lw=2)
+
+# Humidity lines
+RHValues = [0.05, 0.1, 0.15, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]
+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)
+
+# Humidity lines
+for H in [-20, -10, 0, 10, 20, 30, 40, 50, 60, 70, 80, 90]:
+    #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)
+
+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 ($m_{water}/m_{dry\ air}$) [-]")
+
+xv = Tdb #[K]
+for RH in [0.05, 0.1, 0.15, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]:
+    yv = [HAProps('W','T',T,'P',p,'R',RH) for T in Tdb]
+    y = HAProps('W','P',p,'H',65.000000,'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)
+
+matplotlib.pyplot.show()