In [1]:

    

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt, mpld3
from ThermoPyle import *
%matplotlib notebook
mpld3.enable_notebook()
plt.style.use(["seaborn-talk", "seaborn-notebook", "seaborn-paper"])


    

In [ ]:

    

waterD = CSVFluid("../finalData/Water_T-217_P-217_U_with_derivatives")


    

In [19]:

    

Water = ThermoFluid()


    

In [20]:

    

Water.data = waterD.data


    

In [21]:

    

Water.data["V"] = pd.Series(Water.M / Water.data["D"], index=Water.data.index)
Water.vars = list(set(Water.vars).union(list(Water.data.columns)))
Water.make_units()
Water.make_meta()


    

In [27]:

    

Water.write_data(mode="dual", path="../finalData/", filename="with_Volume_and_ders")


    

In [23]:

    

Water.data.head(2)


    

    
Out[23]:






  

    

      

      
T
      
P
      
U
      
d(S)/d(U)|P
      
d(D)/d(T)|S
      
d(U)/d(T)|S
      
d(U)/d(T)|D
      
d(T)/d(D)|P
      
d(P)/d(U)|S
      
d(P)/d(G)|T
      
...
      
d(P)/d(D)|T
      
d(G)/d(U)|T
      
d(S)/d(G)|T
      
d(T)/d(U)|D
      
d(D)/d(G)|S
      
d(S)/d(P)|D
      
d(P)/d(S)|U
      
d(S)/d(T)|U
      
D
      
V
    
  
  

    

      
0
      
281.216866
      
4.608904e+06
      
33824.479133
      
0.003556
      
97.352592
      
446.887828
      
4177.846549
      
-13.649741
      
455942.789048
      
1002.01292
      
...
      
2.091388e+06
      
-54.461351
      
-0.000073
      
0.000239
      
0.000479
      
0.000097
      
-1.282085e+08
      
-1.779464
      
1002.01292
      
0.000018
    
    

      
1
      
281.216866
      
9.217196e+06
      
33737.457761
      
0.003557
      
82.857915
      
757.334553
      
4159.504239
      
-11.735102
      
231361.330627
      
1004.20534
      
...
      
2.112507e+06
      
-51.233454
      
-0.000085
      
0.000240
      
0.000475
      
0.000082
      
-6.505054e+07
      
-3.292547
      
1004.20534
      
0.000018
    
  

2 rows × 128 columns

In [26]:

    

Water.zvar="U"
Water.make_meta()


    

In [ ]:

    

dir(waterD)


    

In [ ]: