如何按升序对 CSV 文件中的列表进行排序？

Question

with open('classroom1.csv') as csvfile:
    readCSV = csv.reader(csvfile)
    for row in readCSV:
        name = row[0]
        scores = [int(c) for c in row[1:]]
        total = sum(scores)

到目前为止，这是我的代码，我想按升序对其进行排序。我知道reverse=True 会帮助我，但我不知道如何在这里使用它。

我试过了：

srt = sorted(total, key=lambda x : x[1], reverse=True)
    print(name,srt)

但它不起作用。

我的列表是[userName, score1, score2, score3]，例如[James, 5, 8, 4]

Answer 1

如果你需要升序排序，你不应该调用reverse=True

如果：classroom1.csv：

Ali,100,100
Bob,50,100

而 main.py 是：

data=[]
with open('classroom1.csv') as csvfile:
    readCSV = csv.reader(csvfile)
    for row in readCSV:
        name = row[0]
        scores = [int(c) for c in row[1:]]
        total=sum(scores)
        data.append((name,total))
srt=sorted(data, key=lambda x : x[1])
print srt

您将收到：

[('Bob',150),('Ali',200)]

Answer 2

Program to short by userName with high score:
Here  is my cvs file data:

userName, score1,score2,score3
James, 7,3,8
Bob, 9,5,7
Yogi, 10,4,5

import csv
output = {}
first = True
f=open("D:\work\classroom1.cvs")
for row in csv.reader(f):
    if first:
        first = False
        continue
    key = row[0]
    row.pop(0)
    val = list(set(map(int, row)))[0]
    output[key] = val

for key in sorted(output):
    print ("%s, %s" % (key, output[key]))


Output:
>>> ================================ RESTART ================================
>>> 
Bob, 9
James, 8
Yogi, 10

>>>

Program to short by high score:
Here  is my cvs file data:

userName, score1,score2,score3
James, 7,3,8
Bob, 9,5,7
Yogi, 10,4,5
Abhi, 1,2,3

import csv
import operator
output = {}
first = True
f=open("D:\work\classroom1.cvs")
for row in csv.reader(f):
    if first:
        first = False
        continue
    key = row[0]
    row.pop(0)
    val = list(set(map(int, row)))[0]
    output[key] = val

sorted_output = sorted(output.items(), key=operator.itemgetter(1))
for key,val in sorted_output:
    print ("%s, %s" % (key, val))


Output:
>>> ================================ RESTART ================================
>>> 
Abhi, 1
Bob, 9
Yogi, 9
James, 10
>>>