目录
matplotlib.pyplot的plt.legend函数的简介
matplotlib.pyplot的plt.legend函数的使用方法
matplotlib.pyplot的plt.legend函数的简介
legend模块定义了legend类，负责绘制与轴和/或图形相关的图例。Legend类是一个图例句柄和图例文本的容器，该函数是用来给当前图像添加图例内容。大多数用户通常会通过图例函数创建图例。图例处理程序映射指定如何在轴或图形中从artists(线、补丁等)创建图例句柄。默认的图例处理程序定义在legend_handler模块中。虽然默认的图例处理程序并没有覆盖所有的artists类型，但是可以定义自定义图例处理程序来支持任意对象。
1. plt.legend(loc='best',frameon=False) #frameon参数，去掉图例边框 2. plt.legend(loc='best',edgecolor='blue') #edgecolor参数，设置图例边框颜色 3. plt.legend(loc='best',facecolor='blue') #facecolor参数，设置图例背景颜色,若无边框,参数无效 4. plt.legend(["CH", "US"], title='China VS Us') #设置图例标题 5. plt.legend([p1, p2], ["CH", "US"]) #设置图例名字及对应关系
原始文档：https://matplotlib.org/api/legend_api.html?highlight=legend#module-matplotlib.legend
1、参数解释
| 参数 | 解释 | 具体应用 |
| loc | Location code string, or tuple (see below).图例所有figure位置 |
plt.legend(loc='upper center') 0: ‘best' 1: ‘upper right' 2: ‘upper left' 3: ‘lower left' 4: ‘lower right' 5: ‘right' 6: ‘center left' 7: ‘center right' 8: ‘lower center' 9: ‘upper center' 10: ‘center' |
| prop | the font property字体参数 | |
| fontsize | the font size (used only if prop is not specified) | fontsize : int or float or {‘xx-small’, ‘x-small’, ‘small’, ‘medium’, ‘large’, ‘x-large’, ‘xx-large’} |
| markerscale | the relative size of legend markers vs. original 图例标记与原始标记的相对大小 |
|
| markerfirst | If True (default), marker is to left of the label. 如果为True，则图例标记位于图例标签的左侧 |
|
| numpoints | the number of points in the legend for line 为线条图图例条目创建的标记点数 |
|
| scatterpoints | the number of points in the legend for scatter plot 为散点图图例条目创建的标记点数 |
|
| scatteryoffsets | a list of yoffsets for scatter symbols in legend 为散点图图例条目创建的标记的垂直偏移量 |
|
| frameon | If True, draw the legend on a patch (frame). 控制是否应在图例周围绘制框架 |
|
| fancybox | If True, draw the frame with a round fancybox. 控制是否应在构成图例背景的FancyBboxPatch周围启用圆边 |
|
| shadow | If True, draw a shadow behind legend. 控制是否在图例后面画一个阴 |
|
| framealpha | Transparency of the frame. 控制图例框架的 Alpha 透明度 |
|
| edgecolor | Frame edgecolor. | |
| facecolor | Frame facecolor. | |
| ncol | number of columns 设置图例分为n列展示 | |
| borderpad | the fractional whitespace inside the legend border 图例边框的内边距 |
|
| labelspacing | the vertical space between the legend entries 图例条目之间的垂直间距 |
|
| handlelength | the length of the legend handles 图例句柄的长度 |
|
| handleheight | the height of the legend handles 图例句柄的高度 |
|
| handletextpad | the pad between the legend handle and text 图例句柄和文本之间的间距 |
|
| borderaxespad | the pad between the axes and legend border 轴与图例边框之间的距离 |
|
| columnspacing | the spacing between columns 列间距 | |
| title | the legend title | |
| bbox_to_anchor | the bbox that the legend will be anchored.指定图例在轴的位置 | |
| bbox_transform | the transform for the bbox. transAxes if None. |
2、源代码
更新……
1. def legend Found at: matplotlib.pyplot 2. 3. @_copy_docstring_and_deprecators(Axes.legend) 4. def legend(*args, **kwargs): 5. return gca().legend(*args, **kwargs) 6. 7. # Autogenerated by boilerplate.py. Do not edit as changes will be lost.
matplotlib.pyplot的plt.legend函数的使用方法
1、基础用法
1. plt.figure() 2. col_cou_len=len(Keys) 3. plt.pie(x=Values,labels=Keys,colors=cols[:col_cou_len], startangle=90,shadow=True,autopct='%1.3f%%') 4. plt.title(tit_name) 5. plt.legend() 6. plt.show()
