数据分析之matplotlib绘图基础

    技术2025-11-20  37

    数据分析之matplotlib绘图基础

    #import numpy as np import matplotlib.pyplot as plt

    %matplotlib inline x=np.linspace(0,100,1000) y=np.sin(x) plt.plot(x,y,c=‘red’,lw=2,ls=’-’) plt.show()

    plt.plot(x,y,ls=’-’,marker=‘o’,markersize=2,c=‘red’, markeredgecolor=‘blue’,markerfacecolor=‘black’,label=‘x和y的关系’) plt.show()

    plt.rcParams[‘font.sans-serif’]=[‘SimHei’] plt.rcParams[‘axes.unicode_minus’]=False

    x=np.linspace(0,10,100) y=np.sin(x) plt.plot(x,y,ls=’:’,lw=2,label=‘x和y的关系’) plt.legend(loc=’ center’) plt.show() x=np.arrange(0,1.1,0.01) y=x**2 plt.figure(figsize=(6.4,4.84),dpi=100,facecolor=‘red’) plt.title(‘这是一幅图’) plt.xlabel(‘x1+’) plt.ylabel(‘y’) plt.xlim([0,1]) plt.ylim([0,1]) plt.xticks([0,0.2,0.4,0.6,0.8,1]) plt.yticks([0,0.2,0.4,0.6,0.8,1]) plt.plot(x,y,label=‘y=x^2’)

    plt.legend(loc=‘best’) plt.show()

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