plotting a linear regression

import math

def plot_lin_reg(regressor, X, y, resolution=100):

    max_x = X.max()
    steps = math.ceil(max_x)/resolution

    # calculate points for linear regression
    # could also just use lin_reg.predict to get the x values
    x_points = np.arange(0, max_x + steps, steps)
    c, m = regressor.intercept_, regressor.coef_
    y_points = (m * x_points) + c

    plt.plot(x_points, y_points, 'c', linewidth=2)
    plot_data(X, y)