python - 在 Pandas 中使用read_json导入单个记录

I am trying to import a json file using the function:

sku = pandas.read_json('https://cws01.worldstores.co.uk/api/product.php?product_sku=125T:FT0111')

但是，我一直得到以下错误
ValueError:数组的长度必须相同
如何将其正确导入数据帧？
这是json的结构：

{
"id": "5",
"sku": "JOSH:BECO-BRN",
"last_updated": "2013-06-10 15:46:22",

...

"propertyType1": [
    "manufacturer_colour"
],
"category": [
    {
        "category_id": "10",
        "category_name": "All Products"
    },

    ...

    {
        "category_id": "238",
        "category_name": "All Sofas"
    }
],
"root_categories": [
    "516"
],
"url": "/p/Beco Suede Sofa Bed?product_id=5",
"item": [
    "2"
],
"image_names": "[\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/L\\/19\\/Beco_Suede_Sofa_Bed-1.jpg\",\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/P\\/19\\/Beco_Suede_Sofa_Bed-1.jpg\",\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/SP\\/19\\/Beco_Suede_Sofa_Bed-1.jpg\",\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/SS\\/19\\/Beco_Suede_Sofa_Bed-1.jpg\",\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/ST\\/19\\/Beco_Suede_Sofa_Bed-1.jpg\",\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/WP\\/19\\/Beco_Suede_Sofa_Bed-1.jpg\",\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/L\\/19\\/Beco_Suede_Sofa_Bed-2.jpg\",\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/P\\/19\\/Beco_Suede_Sofa_Bed-2.jpg\",\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/SP\\/19\\/Beco_Suede_Sofa_Bed-2.jpg\",\"https:\\/\\/cdn.worldstores.co.uk \\/images\\/products\\/SS\\/19\\/Beco_Suede_Sofa_Bed-2.jpg\",\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/ST\\/19\\/Beco_Suede_Sofa_Bed-2.jpg\",\"https:\\/\\/cdn.worldstores.co.uk\\/images\\/products\\/WP\\/19\\/Beco_Suede_Sofa_Bed-2.jpg\"]"

}

最佳答案

。
由于您没有指定json文件的格式（pandas.read_json属性），pandas将默认认为您的数据是columnar。。
The data that you are trying to parse from The orient= function
。。
。
编辑：
Simple way of getting multiple rows and parsing it with the read_json function:

import urllib2
import pandas as pd


url_base = "https://cws01.worldstores.co.uk/api/product.php?product_sku={}"
products = ["125T:FT0111", "125T:FT0111", "125T:FT0111"]

raw_data_list = []

for sku in products:
    url = url_base.format(sku)
    raw_data_list.append(urllib2.urlopen(url).read())

data = "[" + (",".join(raw_data_list)) + "]"
data = pd.read_json(data, orient='records')
data

/
。
https://cws01.worldstores.co.uk/api/product.php?product_sku=125T:FT0111是熊猫试图将尽可能多的功能塞进单个功能的又一个光辉例子。。
Series
如果您的数据是pandas.read_json，pandas.read_json默认为Series
The values allowed for orient while parsing a pandas.read_json(orient=) are: 'index'
。
数据帧
If your data is a Series, {'split','records','index'} defaults to orient='index'
The values allowed for orient while parsing a DataFrame are:
pandas.read_json(orient=)
请注意，对于'columns'和DataFrame，序列索引必须是唯一的；对于{'split','records','index','columns','values'}、orient='index'和orient='columns'，DataFrame列必须是唯一的。
格式
No matter if your data is a orient='index' or a orient='columns', the orient='records' will expect data in the same format:
分裂
需要dict的字符串表示形式，如DataFrame构造函数所采用的：

{"index":[1,2,3,4], "columns":["col1","col2"], "data":[[8,7,6,5], [5,6,7,8]]}

记录
需要一个dict列表的字符串表示形式，如：

[{"col1":8,"col2":5},{"col1":7,"col2":6},{"col1":6,"col2":7},{"col1":5,"col2":8}]

。
Index
Expects a string representation of a nested dict dict like:

{"1":{"col1":8,"col2":5},"2":{"col1":7,"col2":6},"3":{"col1":6,"col2":7},"4":{"col1":5,"col2":8}}

。可能在以后的版本中修复。
柱
Expects a string representation of a nested dict like:

{"col1":{"1":8,"2":7,"3":6,"4":5},"col2":{"1":5,"2":6,"3":7,"4":8}}

Values
Expects a string representation of a list like:

[[8, 5],[7, 6],[6, 7],[5, 8]]

Resulting dataframe
In most cases, the dataframe you get will look like this, with the json strings above:

   col1  col2
1     8     5
2     7     6
3     6     7
4     5     8

关于python - 在 Pandas 中使用read_json导入单个记录，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/31656040/