二次回归和线性回归的拟合效果的对比.py

#演示内容：二次回归和线性回归的拟合效果的对比 """ print(__doc__) import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import LinearRegression from sklearn.preprocessing import PolynomialFeatures from matplotlib.font_manager import FontProperties font_set = FontProperties(fname=r"c:\windows\fonts\simsun.ttc", size=20) def runplt(): plt.figure()# 定义figure plt.title(u'披萨的价格和直径',fontproperties=font_set) plt.xlabel(u'直径（inch）',fontproperties=font_set) plt.ylabel(u'价格（美元）',fontproperties=font_set) plt.axis([0, 25, 0, 25]) plt.grid(True) return plt