line2, = ax.plot([3,2,1], label="Line 2", linewidth=4)# Create a legend for the first line.first_legend = ax.legend(handles=[line1], loc='upper right')# Add the legend manually to the Axes.ax.add_artist(first_legend)# Create another legend for the second line.ax.legend(handl...
axis('equal') # Specify the lines and labels of the first legend ax.legend(lines[:2], ['line A', 'line B'], loc='upper right') # Create the second legend and add the artist manually from matplotlib.legend import Legend leg = Legend(ax, lines[2:], ['line C', 'line D'], ...
-- --># Create a legend for the first line. first_legend = plt.legend(handles=[line1], loc=1) # Add the legend manually to the current Axes. ax = plt.gca().add_artist(first_legend)<!-- --># Create another legend for the second line. plt.legend(handles=[line2], loc=4) pl...
-- --> # Create a legend for the first line. first_legend = plt.legend(handles=[line1], loc=1) # Add the legend manually to the current Axes. ax = plt.gca().add_artist(first_legend) <!-- --> # Create another legend for the second line. plt.legend(handles=[line2], loc=4...
plt.legend(labels='p',loc='upper right')# 显示图例 plt.show()# 基本案例 案例0 快速入门 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from matplotlibimportpyplotaspltimportnumpyasnp x=np.linspace(0,20,200)#等差数列 y=0.5*np.cos(2*x)*x+2.5*x #x相关的函数 ...
ax.plot(x, np.sin(x - i * np.pi / 2), styles[i], color='black') ax.axis('equal') # specify the lines and labels of the first legend ax.legend(lines[:2], ['line A', 'line B'], loc='upper right', frameon=False) # Create the second legend and add the artist manually...
matplotlibAPI有三个层级。matplotlib.backend_bases.FigureCanvas是绘制图形的区域,matplotlib.backend_bases.Renderer是知道如何在ChartCanvas上绘制的对象,而matplotlib.artist.Artist是知道如何使用渲染器在画布上画图的对象。FigureCanvas和Renderer处理与用户界面工具包(如 wxPython)或 PostScript® 等绘图语言交互的所有细...
legend: 显示图示 3.最后调用plt.show()显示出我们创建的所有绘图对象。 二、配置属性 matplotlib所绘制的图的每个组成部分都对应有一个对象,我们可以通过调用这些对象的属性设置方法set_*或者pyplot的属性设置函数setp设置其属性值。 例如plot函数返回一个 matplotlib.lines.Line2D 对象的列表,下面的例子显示如何设置Li...
艺术家教程 原文:Artist tutorial 译者:飞龙 协议:CC BY-NC-SA 4.0matplotlib API 有三个层级。 艺术家教程 原文:Artist tutorial 译者:飞龙 协议:CC BY-NC-SA 4.0 matplotlib API 有三个层级。matplotlib.backend_bases.FigureCanvas是绘制图形的区域,matplotlib.backend_bases.Renderer是知道如何在ChartCanvas上绘制...
legend(loc=0) # Create a set of inset Axes: these should fill the bounding box allocated to # them. ax2 = plt.axes([0,0,1,1]) # Manually set the position and relative size of the inset axes within ax1 ip = InsetPosition(ax1, [0.4,0.2,0.5,0.5]) ax2.set_axes_locator(ip) #...