content: 
  # This file was auto-generated by the PsychChart.py script in wrappers/Python/CoolProp/Plots
  
  if __name__ == '__main__':
      import numpy, matplotlib
      from CoolProp.HumidAirProp import HAPropsSI
      from CoolProp.Plots.Plots import InlineLabel
  
      p = 101325
      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 = [HAPropsSI('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 = [HAPropsSI('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 [-20000, -10000, 0, 10000, 20000, 30000, 40000, 50000, 60000, 70000, 80000, 90000]:
          # Line goes from saturation to zero humidity ratio for this enthalpy
          T1 = HAPropsSI('T', 'H', H, 'P', p, 'R', 1.0) - 273.15
          T0 = HAPropsSI('T', 'H', H, 'P', p, 'R', 0.0) - 273.15
          w1 = HAPropsSI('W', 'H', H, 'P', p, 'R', 1.0)
          w0 = HAPropsSI('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"$T_{db}$ [$^{\circ}$C]")
      ax.set_ylabel(r"$W$ ($m_{w}/m_{da}$) [-]")
  
      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 = [HAPropsSI('W', 'T', T, 'P', p, 'R', RH) for T in Tdb]
          y = HAPropsSI('W', 'P', p, 'H', 65000.000000, 'R', RH)
          T_K, w, rot = InlineLabel(xv, yv, y=y, axis=ax)
          string = r'$\phi$=' + '{s:0.0f}'.format(s=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()
  