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# <examples/doc_model_loadmodelresult.py>
import os
import sys
import matplotlib.pyplot as plt
import numpy as np
from lmfit.model import load_modelresult
if not os.path.exists('gauss_modelresult.sav'):
os.system(f"{sys.executable} doc_model_savemodelresult.py")
data = np.loadtxt('model1d_gauss.dat')
x = data[:, 0]
y = data[:, 1]
result = load_modelresult('gauss_modelresult.sav')
print(result.fit_report())
plt.plot(x, y, 'o')
plt.plot(x, result.best_fit, '-')
plt.show()
# <end examples/doc_model_loadmodelresult.py>
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