import matplotlib.pyplot as plt line1, = plt.plot([1,2,3], label="Line 1", linestyle='--') line2, = plt.plot([3,2,1], label="Line 2", linewidth=4) # 为第一个线条创建图例 first_legend = plt.legend(handles=[line1], loc=1) # 手动将图例添加到当前轴域 ax = plt.gca()....
plt.legend(loc='best',frameon=False)#去掉图例边框plt.legend(loc='best',edgecolor='blue')#设置图例边框颜色plt.legend(loc='best',facecolor='blue')#设置图例背景颜色,若无边框,参数无效 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...
KeywordDescriptionlocLocation code string, or tuple (see below)fontsizethe font size (used only if prop is not specified)propthe font propertymarkerscalethe relative size of legend markers vs. originalmarkerfirstIf True (default), marker is to left of the labelnumpointsthe number of points in ...
plt.plot([1, 2, 3, 4], [1, 4, 9, 16]) plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 0x06 参考 1. matplotlib命令与格式:图例legend语法及设置 2. plt.legend( )函数,给图像加上图例 3. matplotlib.pyplot.legend...
legend(loc # Location code string, or tuple (see below). # 图例所有figure位置。 labels # 标签名称。 prop # the font property. # 字体参数 fontsize # the font size (used only if prop is not specified). # 字号大小。 markerscale # the relative size of legend markers vs. ...
from matplotlib.legend_handlerimportHandlerLine2D # 设置legend图例 l1,=plt.plot(x,y1,marker='o',label='linear line')l2,=plt.plot(x,y2,color='red',linewidth=1.0,marker='o',label='square line')plt.legend(handler_map={l1:HandlerLine2D(numpoints=4)},handles=[l1,l2],labels=['up','dow...
The following steps are used to plot legend outside in matplotlib are outlined below: Defining Libraries:Import the important libraries which are required (For data creation and manipulation: Numpy and Pandas, For data visualization: pyplot from matplotlib). ...
plt.legend(loc='best',frameon=False) #frameon参数,去掉图例边框 plt.legend(loc='best',edgecolor='blue') #edgecolor参数,设置图例边框颜色 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 plt.legend(["CH", "US"], title='China VS Us') #设置图例标...
ax = sns.scatterplot(data=plot_df, x="x", y="y", hue='VP', palette='Spectral', style="label", markers=['^', 'o'], s=100) ax.set(xlabel=None, ylabel=None) ax.set_aspect('equal', 'datalim') # sns.move_legend(ax, bbox_to_anchor=(1.01, 1.01), loc='upper left') ...
'#4575b4']sample=1000fig,ax=plt.subplots()foriinrange(len(hex_html)):y=np.random.normal(0,0.1,size=sample).cumsum()x=np.arange(sample)ax.scatter(x,y,label=str(i),linewidth=0.1,edgecolors='grey',facecolor=hex_html[i])ax.set_title('User ggplot style',fontsize=20)ax.legend()plt...