ax.set_xlim([1,7.1]) ax.set_ylim([40,100]) ax.set_xticks(np.linspace(1,7,7)) ax.set_yticks(np.linspace(50,100,6))#可调控字体大小,样式, ax.set_xticklabels(["星期一","星期二","星期三","星期四","星期五","星期六","星期日"],fontproperties="SimHei",fontsize=12) ax.set_...
ax.set_ylim([-100,100]) ax.set_ylabel("销售量",fontsize=18) ax.set_xticks(np.linspace(1,13,7)) ax.set_yticks(np.linspace(-100,100,10)) ax.set_xticklabels(["星期一","星期二","星期三","星期四","星期五","星期六","星期日"],fontsize=12) #添加标注 for a,b in zip(np....
plt.gca().set_ylim(0., 1.) plt.gca().set_title("Matplotlib's math rendering engine", color=mpl_grey_rvb, fontsize=14, weight='bold') plt.gca().set_xticklabels("", visible=False) plt.gca().set_yticklabels("", visible=False) # Gap between lines in axes coords line_axesfrac ...
程序: importmatplotlib.pyplot as pltimportnumpy as np ax=plt.gca() ax.set_xlim(-10,10) ax.set_ylim(-10,10)#网格plt.grid(linestyle='-.')#linestyle = lsmy_x1= np.arange(-5,5,0.5) plt.xticks(my_x1) plt.show() 结果:
独立的设置x轴或者y轴的范围 plt.xlim() plt.ylim() 单独的某一个坐标系进行设置 ax.set_xlim() 坐标轴标签 面向对象方式添加 ax.set_xlabel() ax.set_ylabel() 上下文: plt.xlabel() plt.ylabel() plt.xlabel('x-label',color='red',fontsize=18,rotation=60) ...
p2.set_ylim(-1,2) #标题 plt.title("double map") #显示图像 plt.show() 2、上下两幅图 # -*- coding: UTF-8 -*- import matplotlib.pyplotas plt year = [2001,2002,2003,2004,2005] num = [1000,800,1200,3400,1200] s = [] ...
ax.set_ylim(40,100)#y轴从40到100 #设置显示的刻度 ax.set_xticks(np.linspace(1,7,7))#np.linspace()函数为等差数列,1至7的7个数组成的等差数列1,2,3,4,5,6,7, ax.set_yticks(np.linspace(50,100,6))#关于等差数列,想了解的可以参看numpy的用法 ...
(0, 2*np.pi) ax.set_ylim(-1, 1) return ln, def update(frame): x = np.linspace(0, 2*np.pi, 100) y = np.sin(x + frame/10) ln.set_data(x, y) return ln, # 创建动画对象 ani = FuncAnimation(fig, update, frames=100, interval=100, init_func=init, blit=True, repeat=...
独立的设置x轴或者y轴的范围 plt.xlim() plt.ylim() 单独的某一个坐标系进行设置 ax.set_xlim() 坐标轴标签 面向对象方式添加 ax.set_xlabel() ax.set_ylabel() 上下文: plt.xlabel() plt.ylabel() plt.xlabel('x-label',color='red',fontsize=18,rotation=60) ...
plt.ylim→ax.set_ylim plt.title→ax.set_title 在面向对象接口中,与其逐个调用上面的方法来设置属性,更常见的使用ax.set方法来一次性设置所有的属性: ax = plt.axes ax.plot(x, np.sin(x)) ax.set(xlim=(0,10), ylim=(-2,2), xlabel='x', ylabel='sin(x)', ...