<jupyter_start><jupyter_text>Example plots for Frank Elastic Constants<jupyter_code>from FrankElastic.plot_frank import *
%matplotlib inline 
import os.path as path<jupyter_output><empty_output><jupyter_text>Plot correlations<jupyter_code>if not path.exists("FrankElastic/Sdata.p"):
    get_data_for_Splot("FrankElastic/Sdata.p", nthreads=25, N=0.05, npts=25)
plot_S("FrankElastic/Sdata.p")<jupyter_output><empty_output><jupyter_text>Plots of Frank elastic constants<jupyter_code>if not path.exists("FrankElastic/highN.p"):
    get_Multi_frank_data(saveas="highN.p", gammaN=False, nthreads=25, npts=150, maxgamma=100)
if not path.exists("FrankElastic/lowN.p"):
    get_Multi_frank_data(saveas="lowN.p", gammaN=True, nthreads=25, npts=48, maxgamma=35)
Multi_frank_plot(load="FrankElastic/highN.p")
Multi_frank_plot(load="FrankElastic/lowN.p")
seperate_bend_twist_splay("FrankElastic/highN.p")
if not path.exists("FrankElastic/Nsweep.p"):
    get_Nsweep_data(saveas="FrankElastic/Nsweep.p", nthreads=25)
plotNsweep("FrankElastic/Nsweep.p")<jupyter_output><empty_output>
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