小编Ken*_*ous的帖子

相当新的python,新手开发人员,第一次来电

我正在调用一些JSON并将相关数据解析为csv.我无法弄清楚如何使用默认密钥填充中间json Dict文件,因为许多都是未填充的.结果是KeyError,因为我试图将内容解析为csv.会喜欢任何建议!

谢谢.

更新:谢谢大家!我现在收到(制造商)的'NoneType'错误:

import urllib2, json, csv, sys, os, codecs, re

from collections import defaultdict

output = 'bb.csv'

csv_writer = csv.writer(open(output, 'w'))

header = ['sku', 'name', 'description', 'image', 'manufacturer', 'upc', 'department', 'class', 'subclass']

csv_writer.writerow(header)

i=1

while i<101:
    print i

    bb_url = urllib2.Request("http://api.remix.bestbuy.com/v1/products(sku=*)?show=sku,name,description,image,manufacturer,upc,department,class,subclass&format=json&sort=sku.asc&page=" + str(i) + "&pageSize=100&apiKey=*****************")
    bb_json = json.load(urllib2.urlopen(bb_url))

    print bb_json

    for product in bb_json['products']:
        row = []

        row.append(product['sku'])
        if product['name']:
            row.append(str((product['name']).encode('utf-8')))
        else:
            row.append("")
        row.append(str(product.get('description',"")))
        row.append(str(product['image'])+ " ")
        if product['name']:
            row.append(str(product.get('manufacturer',"").encode('utf-8')))
        else:
            row.append("")
        row.append(str(product.get('upc','').encode('utf-8')))
        row.append(str((product['department']).encode('utf-8')))
        row.append(str((product['class']).encode('utf-8')))
        row.append(str((product['subclass']).encode('utf-8')))

        csv_writer.writerow(row) …

目的:

我想转换以下架构:

group, id, name
A, 12345, "eeny"
A, 23456, "meeny"
A, 34567, "miney mo"
B, 99999, "foo"
B, 88888, "bar"
B, 77777, "foobar"

成:

group, id1, name1, id2, name2, id3, name3
A, 12345, "eeny", 23456, "meeny", 34567, "miney mo"
B, 99999, "foo", 88888, "bar", 77777, "foobar" 

在Python的上下文中,我假设可以使用Pandas groupby()和/或unstack()来完成,但我遇到的大多数文档都涉及数值计算而不是字符串.

任何帮助将不胜感激.谢谢!