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...
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()....
In thisPython tutorial, we will discussPut legend outside plot matplotlibin python. Here we will cover different examples related to legend outside plot usingmatplotlib. And we will also cover the following topics: Put legend outside plot matplotlib Matplotlib set legend outside plot Matplotlib set...
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(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.
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...
tips:如果你向plot()指令提供了一维的数组或列表,那么matplotlib将默认它是一系列的y值,并自动为你生成x的值,默认的x向量从0开始并且具有和y同样的长度。 """matplotlib绘图的基本操作""" import matplotlib.pyplot as plt import numpy as np # 绘制普通图像 ...
→ 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) …...
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() 我们可以调整他的参数,例如: 图例的位置、字体属性、大小,颜色,样式、图例中的列数,等等 可以在创建...
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() ...