<jupyter_start><jupyter_text>Generating spin configurations via Monte Carlo - $L=100$ - MEAN FIELD<jupyter_code>import pandas as pd

import sys
sys.path.append('../modules')
from mc_ising2d_MF import IsingMC
ising2D_MF = IsingMC()
ising2D_MF.fit(thermodynamics= True)
ising2D_MF.plot_thermodynamics()
ising_df = ising2D_MF.thermodymanics_MC_df()
ising_df.head()
ising_df.to_pickle('../data/L100_Ising2D_MC_MF.pkl')<jupyter_output><empty_output>
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