3 回答
TA贡献1824条经验 获得超5个赞
您可以使用zip. 鉴于您的数据集为my_list:
my_lists = [['Afghanistan', 2.66171813, 7.460143566, 0.490880072, 52.33952713, 0.427010864, -0.106340349, 0.261178523],
['Albania', 4.639548302, 9.373718262, 0.637698293, 69.05165863, 0.74961102, -0.035140377, 0.457737535],
['Algeria', 5.248912334, 9.540244102, 0.806753874, 65.69918823, 0.436670482, -0.194670126, 0],
['Argentina', 6.039330006, 9.843519211, 0.906699121, 67.53870392, 0.831966162, -0.186299905, 0.305430293],
['Armenia', 4.287736416, 9.034710884, 0.697924912, 65.12568665, 0.613697052, -0.132166177, 0.246900991],
['Australia', 7.25703764, 10.71182728, 0.949957848, 72.78334045, 0.910550177, 0.301693261, 0.45340696]]
for t in list(zip(*my_lists))[1:]:
print(max(t), min(t))
7.25703764 2.66171813
10.71182728 7.460143566
0.949957848 0.490880072
72.78334045 52.33952713
0.910550177 0.427010864
0.301693261 -0.194670126
0.457737535 0
TA贡献1816条经验 获得超6个赞
下面的代码使用列表理解创建了一个包含每个列表最小值和最大值的元组列表,您可以进一步格式化以在每个元组中包含国家/地区名称。
li = [['Afghanistan', 2.66171813, 7.460143566, 0.490880072, 52.33952713, 0.427010864, -0.106340349, 0.261178523],
['Albania', 4.639548302, 9.373718262, 0.637698293, 69.05165863, 0.74961102, -0.035140377, 0.457737535],
['Algeria', 5.248912334, 9.540244102, 0.806753874, 65.69918823, 0.436670482, -0.194670126, 0],
['Argentina', 6.039330006, 9.843519211, 0.906699121, 67.53870392, 0.831966162, -0.186299905, 0.305430293],
['Armenia', 4.287736416, 9.034710884, 0.697924912, 65.12568665, 0.613697052, -0.132166177, 0.246900991],
['Australia', 7.25703764, 10.71182728, 0.949957848, 72.78334045, 0.910550177, 0.301693261, 0.45340696]]
li2 = [(min(y),max(y)) for y in [[x for x in l[1:]] for l in li]]
print (li2)
TA贡献1790条经验 获得超9个赞
columns=len(newlist[0])
rows=len(newlist)
for i in range(1,columns):
for j in range(rows):
small.append(newlist[j][i])
print("{}. columuns min value:{} max value:{}".format(i,min(small),max(small)))
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