Question

我无法弄清楚如何打印和排序我的csv文件，该文件涉及游戏中玩家的得分，姓名和时间，因此我可以打印前5个得分。

我一直在寻找stackoverflow一段时间，却找不到符合我要求的规格或符合我需要的规格的任何东西。因此，如果有人可以提供帮助，那就太好了。

我的csv文件如下所示：

Human,02:00,120
Joe,03:00,180
Alex,01:00,60
Jason,05:00,300
Liza,06:00,360
John,07:00,420
Mark,04:00,240

文件列为：Name, Time, RawTime. The RawTime列是我要排序的列，以列出前5名中从最低到最高的时间

def addtoScoreboard(name, time, scores):
    file = open("scores.csv", "a")
    file.write("\n" + str(name) + "," + str(time) + "," + str(scores))
    file.close

这就是我将分数添加到文本文件的方式。

如果有人可以帮助我对csv文件中的数据进行排序和打印，然后再将其添加到游戏中，那真的很酷。

Answer 1

使用csv模块。并将sorted()与key一起使用按时间排序。

例如：

import csv

with open(filename, "rU") as infile:
    reader = csv.reader(infile)
    data = [row for row in reader]
    data = sorted(data, key=lambda x: int(x[-1]))   #Sort by RawTime

with open(filename_1, "w") as outfile:
    writer = csv.writer(outfile)
    writer.writerows(data)

输出：

Alex,01:00,60
Human,02:00,120
Joe,03:00,180
Mark,04:00,240
Jason,05:00,300
Liza,06:00,360
John,07:00,420

Answer 2

这应该做到。

import csv

li = []
#Import the csv as a dictionary
with open("out.csv") as infile:
    reader = csv.DictReader(infile)

    #Append all items to a list
    for item in reader:
        li.append(dict(item))

#Sort the list on Rawtime key
res = sorted(li, key=lambda x:int(x['RawTime']), reverse=True)

#Remove Rawtime from result
res = [ {i:item[i] for i in item if i!='RawTime'} for item in res[:5]]
print(res)

#Print without Name and List
for item in res:
    print(','.join(list(item.values())))

#Write to a csv
keys = ['Name', 'Time']
with open('out.csv', 'w') as outfile:

    writer = csv.DictWriter(outfile, keys)
    #Write the header
    writer.writeheader()
    #Write the keys
    for item in res:
        writer.writerow(item)

所以，如果csv看起来像

Name,Time,RawTime
Human,02:00,120
Joe,03:00,180
Alex,01:00,60
Jason,05:00,300
Liza,06:00,360
John,07:00,420
Mark,04:00,240

输出将为

[{'Name': 'John', 'Time': '07:00'}, 
{'Name': 'Liza', 'Time': '06:00'}, 
{'Name': 'Jason', 'Time': '05:00'}, 
{'Name': 'Mark', 'Time': '04:00'}, 
{'Name': 'Joe', 'Time': '03:00'}]

输出的csv看起来像

Name,Time
John,07:00
Liza,06:00
Jason,05:00
Mark,04:00
Joe,03:00

打印时没有名称和列表的样子

John,07:00
Liza,06:00
Jason,05:00
Mark,04:00
Joe,03:00

Answer 3

还有一个pandas库，尽管有点过头，但它允许您编写更简洁的代码：

import pandas as pd

df = pd.read_csv('input.csv', names=["Name", "Time", "RawTime"])
df = df.sort_values('RawTime')
df.to_csv('scores.csv', header=False, index=False)

Answer 4

data_arr = []
with open("your_file.txt") as f:
    for line in f.readlines():
        name, time, raw_time = line.split(",")
        data_arr.append((name, time, int(raw_time)))

    data_arr = sorted(data_arr, key= lambda x: x[2])

with open("output_file.txt", "w") as f:
    output = ""
    for name, time, raw_time in data_arr:
        output += (name + "," + time + "," + str(raw_time)) + "\n"
    f.write(output)

Answer 5

您可以将熊猫用作同一个

import pandas as pd
df = pd.read_csv('input_file.csv',header=None)

(df.sort_values([2],ascending=False) ## sorting high to low on column 2
 .head(5) ## taking top 5
 .sort_values([2],ascending=True) ## sorting low to high
 .to_csv('scores.csv',header = False,index=False)) # exporting as csv

根据分数对CSV文件进行排序

5 个答案: