Note
The python plotting API has been changed as of v4.0. The examples shown on this page use the new python plotting API. Examples using the old python plotting API can be found here Old Python Plotting.
The following example can be used to create a Temperature-Entropy plot for propane (R290):
from CoolProp.Plots import PropsPlot
ts_plot = PropsPlot('R290', 'Ts')
ts_plot.show()
(Source code, png)
The following example can be used to create a Pressure-Enthalpy plot for R410A:
from CoolProp.Plots import PropsPlot
ph_plot = PropsPlot('R410A', 'Ph')
ph_plot.show()
(Source code, png)
The available plots are:
| PT | Pressure-Temperature |
| PD | Pressure-Density |
| PH | Pressure-Enthalpy |
| PS | Pressure-Entropy |
| TD | Temperature-Density |
| TS | Temperatre-Entropy |
| HS | Enthalpy-Entropy |
The following, more advanced example, can be used to draw lines of constant properties for n-Pentane. Note the different ways to invoke the CoolProp.Plots.Plots.PropsPlot.draw_isolines() function draw:
from CoolProp.Plots import PropsPlot
ref_fluid = 'n-Pentane'
ts_plot = PropsPlot(ref_fluid, 'Ts')
ts_plot.draw_isolines('Q', [0.3, 0.5, 0.7, 0.8])
ts_plot.draw_isolines('P', [100, 2000], num=5)
ts_plot.draw_isolines('D', [2, 600], num=7)
ts_plot.set_axis_limits([-2, 1.5, 200, 500])
ts_plot.show()
(Source code, png)
Some of the commonly used Matplotlib functions, such as title(), xlabel() and ylabel() have been wrapped in the CoolProp.Plots.Plots.PropsPlot class to make the plotting of graphs a little simpler, for example:
from CoolProp.Plots import PropsPlot
ts_plot = PropsPlot('Water', 'Ts')
ts_plot.title('Ts Graph for Water')
ts_plot.xlabel(r's $[{kJ}/{kg K}]$')
ts_plot.ylabel(r'T $[K]$')
ts_plot.grid()
ts_plot.show()
(Source code, png)
The following two examples show how the matplotlib.pyplot functions and matplotlib.pyplot.axes functions can also be used along side the CoolProp.Plots.Plots.PropsPlot class
from CoolProp.Plots import PropsPlot
ph_plot = PropsPlot('Water', 'Ph')
ax = ph_plot.axis
ax.set_yscale('log')
ax.text(400, 5500, 'Saturated Liquid', fontsize=15, rotation=40)
ax.text(2700, 3500, 'Saturated Vapour', fontsize=15, rotation=-100)
ph_plot.show()
(Source code, png)
from matplotlib import pyplot
from CoolProp.Plots import PropsPlot
ref_fluid = 'R600a'
fig = pyplot.figure(1, figsize=(10, 10), dpi=100)
for i, gtype in enumerate(['PT', 'PD', 'PS', 'PH', 'TD', 'TS', 'HS']):
ax = pyplot.subplot(4, 2, i+1)
if gtype.startswith('P'):
ax.set_yscale('log')
props_plot = PropsPlot(ref_fluid, gtype, axis=ax)
props_plot.title(gtype)
props_plot._draw_graph()
pyplot.tight_layout()
pyplot.show()
(Source code, png)
