python从list列表中选出一个数和其对应的坐标方法

a = [[5,2],[6,3],[8,8],[1,3]]

import numpy as np

a = [[5,2],[6,3],[8,8],[1,3]] 
#c=np.mat(a),因为只有矩阵（也可以用array）才能用a[0,0]这样的调用
#表示第一个数的用法而list没有，故在最后append需要用到
#注意：array也没有index这样的用法（只有list有，此题a已经是list），
#使用index要改成list
c = np.mat(a) 
b = []
for i in range(len(a)):
  try:      #使用try...except...是因为比如3不在第一个[5,2]中会报错并终止运行
    b_index = a[i].index(3)   #使用index寻找3所在的索引值
  except:    
    pass   #pass表示如果报错那么跳过并继续下一个
  else:   #如果没有报错则进行else内容
    b.append(c[i,0])
print(b)

#结果为
[6,1]

a = [[5,2],[6,3],[8,8],[1,3]]
x = [i for i in a if 3 in i]
print(x)

import matplotlib.pyplot as plt
import numpy as np

data = np.loadtxt(r'/media/sf_Share/fisher_matrix/myLSPE/data/41+95+150/r_0.01/sigma_F_0.1/sigma_F=0.1/threefre.txt')

for i in range(len(data)):
  data[i,3] = float('%.5f'%data[i,3])

x_mat = []
y_mat = []
for i in range(len(data)):
  try:
    data_index = list(data[i]).index(0.00211)
  except:
    pass
  else:
    x_mat.append(data[i,0])
    y_mat.append(data[i,1])

plt.scatter(x_mat,y_mat)
plt.show()

import matplotlib.pyplot as plt
import numpy as np

data = np.loadtxt(r'/media/sf_Share/fisher_matrix/myLSPE/data/41+95+150/r_0.01/sigma_F_0.1/sigma_F=0.1/threefre.txt')

for i in range(len(data)):
  data[i,3] = float('%.5f'%data[i,3])
  
#data_list = list(data)
x_mat = []
y_mat = []
for i in range(len(data)):
  try:
    data_index = list(data[i]).index(0.00211)
  except:
    pass
  else:
    x_mat.append(data[i,0])
    y_mat.append(data[i,1])

plt.scatter(x_mat,y_mat)
plt.show()