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#!/usr/bin/env python
# <examples/doc_model_savemodelresult.py>
import matplotlib.pyplot as plt
import numpy as np
from lmfit.model import save_modelresult
from lmfit.models import GaussianModel
data = np.loadtxt('model1d_gauss.dat')
x = data[:, 0]
y = data[:, 1]
gmodel = GaussianModel()
result = gmodel.fit(y, x=x, amplitude=5, center=5, sigma=1)
save_modelresult(result, 'gauss_modelresult.sav')
print(result.fit_report())
plt.plot(x, y, 'bo')
plt.plot(x, result.init_fit, 'k--')
plt.plot(x, result.best_fit, 'r-')
plt.show()
# <end examples/doc_model_savemodelresult.py>
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