Question

嘿所以我在csv文件中有一些哈希id，比如

XbRPhe65YbC + xtgGQ8ukeZEr9xFOC4MEs9Z0wUidGSec = XbRPhe65YbC + xtgGQ8uksrqSUJ / HhTPj1d2pL0 / vuGrHM =

我希望将它们解析为python，将它们包含在一些额外的代码中，如

{＆＃34; ID＆＃34; ：＆＃34; XbRPshe65YbC + xtGQ8ukqR2u2btfNeNegtgtcs72QbxPA =＆＃34;，＆＃34; timestamp＆＃34;：＆＃34; 20150831＆＃34;}，

然后用一些JSON语法包装所有这些。然后将其作为发布请求发送。问题是我似乎无法使JSON可读。一切似乎都是错误的，我得到额外的\。

import os
import pandas as pd
from pprint import pprint

df=pd.read_csv('test.csv',sep=',',header=None)
df[0] = '{"id" :"' + df[0].astype(str) + '", "timestamp":"20150831"}, ' 

df = df[:-1] # removes last comma


test = 'hello'
data =[ { "ids":[ df[0]],
          "attributes":[
                {
                "name":"girl"
                },
                {
                "name":"size"
                }
                ]
        }
        ]

json1 = data.to_json()
print(json1)

Answer 1

我同意大熊猫似乎不是这里工作的最简单的工具。内置库可以很好地工作：

import csv
import json

with open('test.csv', newline='') as csvfile:
    csvreader = csv.reader(csvfile)

    data = {
        "ids": [{"id": row[0], "timestamp": "20150831"} for row in csvreader],
        "attributes": [
            {"name": "girl"},
            {"name": "size"}
        ]
    }

json1 = json.dumps(data)
print(json1)

csv到python中的json

1 个答案: