import numpy as np import matplotlib.pyplot as plt import matplotlib as mpl mpl.use('TkAgg') #定义二维数组 xy = np.array([[40,0.0364],[50,0.0351],[60,0.0361],[70,0.0356],[80,0.0361],[90,0.0356],[100,0.0358],[110,0.0359],[120,0.0366],[130,0.0351]]) #填入参数 #[:0]为每一个内部数组的序号为0的数，即这里的40到130 #[:1]作用类推序号为1的 plt.scatter(xy[:,0],xy[:,1]) plt.show()。帮我把这个代码的每个散点按顺序连接起来形成折线图，并在x轴和y轴标上x与y

可以使用以下代码将散点按顺序连接起来形成折线图，并标上x与y轴：

import numpy as np 
import matplotlib.pyplot as plt 
import matplotlib as mpl 

mpl.use('TkAgg') 

#定义二维数组 
xy = np.array([[40,0.0364],[50,0.0351],[60,0.0361],[70,0.0356],[80,0.0361],[90,0.0356],[100,0.0358],[110,0.0359],[120,0.0366],[130,0.0351]]) 

#填入参数 #[:0]为每一个内部数组的序号为0的数，即这里的40到130 #[:1]作用类推序号为1的 
plt.plot(xy[:,0], xy[:,1], '-o')

#添加标签
plt.xlabel('x')
plt.ylabel('y')

plt.show()

结果会生成一个折线图，其中每个散点已按照顺序连接起来，并且在x轴和y轴上显示了标签。