plot multiplr linear regression model python

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Emmanuelle
14 Mar 2020
1import matplotlib.pyplot as plt
2
3plt.style.use('default')
4plt.style.use('ggplot')
5
6fig, ax = plt.subplots(figsize=(7, 3.5))
7
8ax.plot(x_pred, y_pred, color='k', label='Regression model')
9ax.scatter(X, y, edgecolor='k', facecolor='grey', alpha=0.7, label='Sample data')
10ax.set_ylabel('Gas production (Mcf/day)', fontsize=14)
11ax.set_xlabel('Porosity (%)', fontsize=14)
12ax.legend(facecolor='white', fontsize=11)
13ax.text(0.55, 0.15, '$y = %.2f x_1 - %.2f $' % (model.coef_[0], abs(model.intercept_)), fontsize=17, transform=ax.transAxes)
14
15fig.tight_layout()
16
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Irene
26 Sep 2018
1from sklearn import linear_model
2
3ols = linear_model.LinearRegression()
4model = ols.fit(X, y)
5
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