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Accepted
Mahmoud Odeh
Asked: 2019-01-15 06:41:12 +0800 CST

将数据从 csv 加载到字典

  • 772

我正在尝试将数据从 CSV 逐行加载到字典中。我正在尝试添加没有重复的数据：," imsi = line[1] & site= line[3]". 如果 imsi 和 site 已经存在于字典中，我只想用新行聚合值而不重复。

imsi = line[1] & site= line[3]
20190102,100000000204197,google.com,4799,1394,1,1
20190102,100000000204197,yahoo.com,11626,5635,5,4
20190102,100000000204197,yahoo.com,11625666,563345,5,12
20190102,41602323232,youtube.com,7875,5710,4,4
20190102,41602323232,,youtube.com,11,3

from datetime import datetime
from dateutil.parser import parse
from collections import Counter
import csv
with open('/home/mahmoudod/Desktop/Tareq-Qassrawi/report.txt','r') as rf:
    reader = csv.reader(rf)
    with open ('/home/mahmoudod/Desktop/Tareq-Qassrawi/writer.txt','w') as wf:
        hashing_table = {}
        connection_val= 0
        connection_val_2=0
        for line in reader:
            key = int(line[1])
            if key != hashing_table.items():
                hashing_table =({'IMSI':key
                ,'SITE':str(line[2])
                ,'DATE':str(line[0])
                ,'linkup' :int(line[3])
                ,'linkdown':int(line[4])
                ,'count':int(line[5])
                ,'connection':int(line[6])
                    })
                connection_val = connection_val + int(hashing_table.get('connection'))
                print (connection_val)
            else:
                connection_val_2 = connection_val_2 + int(hashing_table.get('connection'))
                print (connection_val_2)
python dictionary python3

1 个回答

  1. Best Answer

    在 pandas 中，您可以通过以下示例简单地实现这一点。标题应在 csv 文件的第一行中提供。并将report.txt 重命名为report.csv。

    import pandas as pd
import random

path_csv = '/home/mahmoudod/Desktop/Tareq-Qassrawi/report.csv'
df = pd.read_csv(path_csv, header=0)  
df.head()
    • 0

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