我们将使用Matplotlib的plot函数来制作图形。 importmatplotlib.pyplotasplt x=[0,1,2,3,4]y1=[0,1,4,9,16]y2=[0,2,4,6,8]plt.plot(x,y1,label='Line 1')plt.plot(x,y2,label='Line 2')plt.xlabel('X')plt.ylabel('Y')plt.title('Two Lines Plot')plt.legend()plt.show() Python Cop...
importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)plt.plot(x,y1,label='sin(x)')plt.plot(x,y2,label='cos(x)')plt.title('How to plot two lines - how2matplotlib.com')plt.xlabel('x')plt.ylabel('y')plt.legend()plt.show() Python ...
AI检测代码解析 # 自动化脚本示例importmatplotlib.pyplotaspltdefplot_lines():plt.figure(figsize=(10,5))plt.plot([0,1],[0,1],color='blue',linestyle='-',linewidth=2)plt.plot([0,1],[1,0],color='red',linestyle='--',linewidth=2)plt.title('Two Lines')plt.show()plot_lines() 1. 2...
# lets plot two lines Sin(x) and Cos(x)# loc is used to set the location of the legend on the plot# label is used to represent the label for the line in the legend# generate the random numberx= np.arange(0,1500,100)plt.plot(np.sin(x),label='sin function x')plt.plot(np.co...
ax.plot(x1,y1,label='Line 1') 1. 绘制第二条折线 同样使用ax.plot()方法绘制第二条折线: ax.plot(x2,y2,label='Line 2') 1. 添加标题和标签 使用ax.set_title()和ax.set_xlabel()方法添加标题和 x 轴标签: ax.set_title('Two Lines Chart')ax.set_xlabel('X axis') ...
Draw two lines by specifying aplt.plot()function for each line: importmatplotlib.pyplotasplt importnumpyasnp y1 = np.array([3,8,1,10]) y2 = np.array([6,2,7,11]) plt.plot(y1) plt.plot(y2) plt.show() Result: Try it Yourself » ...
"""def__init__(self,ax,plot_type="line",string="Frame: {:.2f}",**kwargs):self.__ax=...
黑色),w(白色)# 抛物线x = np.linspace(-5, 5, 50)y = x**2# 画图：设置颜色plt.plot(x,y,c="r")[<matplotlib.lines.Line2D at 0x1d65ba7d990>]第二种方式plt.plot(x,y,color="red")[<matplotlib.lines.Line2D at 0x1d65c0a7190>]# ls：line style 设置样式红色实线plt.plot(x,y,c="...
# 蓝色虚线 plt.plot(x,y,"b--") [<matplotlib.lines.Line2D at 0x1d662ccc150>] 5.画布配置 plt.figure() # 画布配置 # figsize:画布大小,宽高比例 # dpi:分辨率,像素密度 # facecolor:背景颜色 plt.figure(figsize=(5,3),dpi=100,facecolor="g") # 画正弦曲线 x = np.linspace(0,2*np.pi...
一个”Figure”意味着用户交互的整个窗口。在这个figure中容纳着”subplots”。 当我们调用plot时,matplotlib会调用gca()获取当前的axes绘图区域,而且gca反过来调用gcf()来获得当前的figure。如果figure为空,它会自动调用figure()生成一个figure, 严格的讲,是生成subplots(111)。