importmatplotlib.pyplotaspltimportnumpyasnp# 生成数据x=np.linspace(0,10,100)y=np.cos(x)# 创建图表fig,ax=plt.subplots(figsize=(10,6))ax.plot(x,y)# 使用 annotate() 添加内部标题ax.annotate('Cosine Wave - how2matplotlib.com',xy=(5,0.8),xytext=(5,0.8),fontsize=16,fontweight='bold'...
shadowIf True, draw a shadow behind legend. 控制是否在图例后面画一个阴 framealphaTransparency of the frame. 控制图例框架的 Alpha 透明度 edgecolorFrame edgecolor. facecolorFrame facecolor. ncolnumber of columns 设置图例分为n列展示 borderpadthe fractional whitespace inside the legend border ...
marker is to left of the labelnumpointsthe number of points in the legend for linescatterpointshe number of points in the legend for scatter plotscatter
the fractional whitespace inside the legend border labelspacing the vertical space between the legend entries handlelength the length of the legend handles handleheight the length of the legend handles handletextpad the pad between the legend handle and text borderaxespad the pad between the axes an...
plt.legend(loc='best',facecolor='blue') #设置图例背景颜色,若无边框,参数无效 1. 2. 3. 对于边框还可以采用面向对象方式: legend = plt.legend(["First", "Second"]) frame = legend.get_frame() frame.set_facecolor('blue') 1. 2.
标示不同图形的文本标签图例-legend() 语法:plt.legend(loc=‘lower left’) 参数:loc:图例在图中的地理位置, 取值可为: “best、upper right、upper left、lower left、lower right、right、center left、center right、lower center、 upper center、center” ...
Matplotlib 的 Legend 图例就是为了帮助我们展示每个数据对应的图像名称,更好的让读者认识到你的数据结构。 如图,红色标注部分就是 Legend 图例。 在之前的一篇文章Matplotlib 系列之「绘制函数图像」中已经细讲过 Matplotlib 的绘制过程以及结构分析,希望读者能先去了解一下。
shadow: if True, draw a shadow behind legend framealpha: If not None, alpha channel for the frame. ncol: number of columns borderpad: the fractional whitespace inside the legend border labelspacing: the vertical space between the legend entries handlelength: the length of the legend handles ha...
x = np.linspace(0, 2, 100)fig, ax = plt.subplots() # Create a figure and an axes.l1 = ax.plot(x, x, label="linear")l2 = ax.plot(x, x ** 2, label="quadratic")l3 = ax.plot(x, x ** 3, label="cubic")ax.set_title("Simple Plot")ax.legend()plt.show()我们可以调整...
matplotlib.pyplot的plt.legend函数的使用方法 1、基础用法 plt.figure()col_cou_len=len(Keys)plt.pie(x=Values,labels=Keys,colors=cols[:col_cou_len],startangle=90,shadow=True,autopct='%1.3f%%')plt.title(tit_name)plt.legend()plt.show()...