[inabower]

Hi FOAMers.

I'm trying to manipulate OpenFOAM in iPython (jupyter notebook).
I want to get like a plot data generated by pyFoamPlotWatcher.py in line as following.

[In]

import os
import shutil
from PyFoam.RunDictionary.ParsedParameterFile import ParsedParameterFile
from PyFoam.Execution.BasicRunner import BasicRunner
from PyFoam.Execution.GnuplotRunner import GnuplotRunner

from PyFoam.IPythonHelpers.Case import Case

orgCase = os.path.join(os.environ['FOAM_TUTORIALS'],'incompressible','simpleFoam','pitzDaily')
newCase = os.path.join('./result/pitzDaily_')
shutil.copytree(orgCase, newCase)

blockMesh = BasicRunner(['blockMesh','-case',newCase], silent=True).start()
simpleFoam = GnuplotRunner(['simpleFoam','-case',newCase], progress=True).start()

case = Case(newCase)
plots = case.pickledPlots(case.sol.pickledPlots[0])
plots['linear'].head()

[out]

           Ux  Ux_final  Ux_iterations        Uy  Uy_final  Uy_iterations  \
1.0  1.000000  0.053810            1.0  1.000000  0.030925            2.0   
2.0  0.437824  0.030824            5.0  0.283531  0.025853            4.0   
3.0  0.123694  0.011162            4.0  0.201901  0.015971            4.0   
4.0  0.068341  0.004392            5.0  0.101704  0.008352            4.0   
5.0  0.057485  0.003968            5.0  0.087349  0.008410            4.0   

      epsilon  epsilon_final  epsilon_iterations         k   k_final  \
1.0  0.199984       0.010028                 3.0  1.000000  0.043920   
2.0  0.153314       0.010948                 3.0  0.419186  0.031304   
3.0  0.101901       0.008398                 2.0  0.179557  0.014245   
4.0  0.078654       0.005480                 2.0  0.116407  0.010367   
5.0  0.051670       0.004668                 2.0  0.086742  0.005037   

     k_iterations         p   p_final  p_iterations  
1.0           3.0  1.000000  0.068427          17.0  
2.0           3.0  0.052242  0.004242          15.0  
3.0           3.0  0.148196  0.011370           6.0  
4.0           3.0  0.123471  0.010857           6.0  
5.0           4.0  0.117570  0.011387           3.0

then, I could get dataFrames like pandas' .

BUT a gnuplot window always did popup and I don't need it because I want to do case study and to compare the plots of the each cases.

Do you have any ideas to avoid the pop-up window of gnu plot or to analyze logs silent ?

Best regards.

inabower

[inabower]

Solved as following.

simpleFoam = GnuplotRunner(['simpleFoam','-case',newCase],progress=True,gnuplotTerminal='/dev/null').start()

Thanks