y1,label='Line 1')ax.plot(x,y2,label='Line 2')# 将图例放置在绘图区域外部ax.legend(bbox_to_anchor=(1.05,1),loc='upper left')# 调整布局plt.tight_layout()# 添加标题plt.title('Legend Outside Plot - how2matplotlib
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...
plt.legend()method is used to add a legend to the plot and we pass thebbox_to_anchorattribute and set itsxandycoordinate values. ” Legend outside the plot “ Also, check:Matplotlib change background color Matplotlib set legend center-left outside plot Here we are going to learn how to ...
1、导入模块:import matplotlib.pyplot as plt2、定义图像窗口:plt.figure()3、画图:plt.plot(x, y)4、定义坐标轴范围:x轴:plt.xlim()/y轴:plt.ylim() lim其实就是limit的缩写5、定义坐标轴名称:x轴:plt.xlabel()/plt.ylabel()6、定义坐标轴刻度及名称:plt.xticks()/plt.yticks()7、设置图像边框颜色...
plt.legend(loc='best',facecolor='blue') #设置图例背景颜色,若无边框,参数无效 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.
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()....
["axes.unicode_minus"] = False import matplotlib.pyplot as plt import numpy as np x = np.linspace(-2*np.pi,2*np.pi,200) y = np.sin(x) y1 = np.cos(x) plt.plot(x,y,label = r"$\sin(x)$") plt.plot(x,y1,label = r"$\cos(x)$") plt.legend() plt.title("正弦函数和...
→ ax.legend(frameon=False) … show error as shaded region? → ax.fill_between(X, Y+error, Y‐error) … draw a rectangle? → ax.add_patch(plt.Rectangle((0, 0),1,1) … draw a vertical line? → ax.axvline(x=0.5) … draw outside frame? → ax.plot(…, clip_on=False) …...
How to add a legend to the plots? For example, if using several moving averages it will be useful to show a legend to map moving averages to line plots. Is clear how this is done using matplotlib but I did not see an example of how to do...
plt.plot(x_data, x_data**3, label ='$x^3$') plt.legend() plt.show() REF https://stackoverflow.com/questions/53781815/superscript-format-in-matplotlib-plot-legend https://stackoverflow.com/questions/21226868/superscript-in-python-plots...