Question

我有一个包含大量列的CSV文件。一些列是相同的，但我想将它们转换为JSON对象，它们都位于同一个数组下。

例如在CSV中：

firstname,lastname,pet,pet,pet
Joe, Dimaggio, dog, cat
Pete, Rose, turtle, cat
Jackie, Robinson, dog

我想让JSON成为

{ firstname: Joe,
  lastname: Dimaggio,
  pets: ["dog", "cat"]
},
{ firstname: Pete,
  lastname: Rose,
  pets: ["turtle", "cat"]
},
{ firstname: Jackie,
  lastname: Robinson,
  pets: ["dog"]
}

我正在尝试编写一个简单的Python脚本来执行此操作，但我遇到了问题。

这是我到目前为止所得到的：

import csv
import json

csvfile = open('userdata.csv', 'r')
jsonfile = open('userdata.json', 'w')

fieldnames = ("firstname", "lastname", "pet", "pet", "pet");
reader = csv.DictReader( csvfile, fieldnames)
record = {}
for row in reader:
    record['firstname'] = row['firstname']
    record['lastname'] = row['lastname']
    record['pets'] = json.JSONEncoder().encode({"pets": [row['pet'], row['pet'], row['pet'], row['pet'], row['pet']]});
    json.dump(record, jsonfile, indent=4)
    ##json.dump(json.loads(json.JSONEncoder(record)), jsonfile, indent=4)
print "something worked"

但这很有趣，因为它将pets打印为名为pets的对象内的数组。

我无法弄清楚如何在对象`pets之外获取数组pets。它还在数组项中添加了反斜杠

{
    "firstname": "Joe",
    "lastname": "Dimaggio", 
    "pets": "{\"pets\": [\"dog\", \"cat\"]}"
}

Answer 1

这是因为你正在对它进行编码，然后使用基本上编码两次的json.JSONEncoder().encode(...)。删除import csv import json csvfile = open('userdata.csv', 'r') jsonfile = open('userdata.json', 'w') fieldnames = ("firstname", "lastname", "pet", "pet", "pet"); reader = csv.DictReader( csvfile, fieldnames) record = {} for row in reader: record['firstname'] = row['firstname'] record['lastname'] = row['lastname'] record['pets'] = [[row['pet'], row['pet'], row['pet'], row['pet'], row['pet']] # Remove blank entries record['pets'] = [x for x in record['pets'] if x is not ''] json.dumps(record, jsonfile, indent=4) print "something worked"，它应该可以正常工作。

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你看到的反斜杠来自于转义json字符串，这是两次序列化的结果。

如何将具有数组数据的csv文件转换为json文件？

1 个答案: