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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def draw(self):
 """ Draws the alphas values against their associated error in a similar fashion to the AlphaSelection visualizer. """

        # Plot the alpha against the error
        self.ax.plot(self.alphas, self.errors, label=self.name.lower())

        # Draw a dashed vline at the alpha with maximal error
        alpha = self.alphas[np.where(self.errors == self.errors.max())][0]
        label = "$\\alpha_{{max}}={:0.3f}$".format(alpha)
        self.ax.axvline(alpha, color='k', linestyle='dashed', label=label)

        # Draw a dashed vline at the alpha with minimal error
        alpha = self.alphas[np.where(self.errors == self.errors.min())][0]
        label = "$\\alpha_{{min}}={:0.3f}$".format(alpha)
        self.ax.axvline(alpha, color='k', linestyle='dashed', label=label)

        return self.ax