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python解析Json

解析Json的常见代码

import json # 导入json解析需要的包

1. json.loads()读取字符串到json object

json.loads()是将str\bytes\bytearray等格式的文件读取到json object中。但是在使用的时候往往会因为一些小问题导致读取错误等。

Docstring:
Deserialize ``s`` (a ``str``, ``bytes`` or ``bytearray`` instance
containing a JSON document) to a Python object.

``object_hook`` is an optional function that will be called with the
result of any object literal decode (a ``dict``). The return value of
``object_hook`` will be used instead of the ``dict``. This feature
can be used to implement custom decoders (e.g. JSON-RPC class hinting).

``object_pairs_hook`` is an optional function that will be called with the
result of any object literal decoded with an ordered list of pairs.  The
return value of ``object_pairs_hook`` will be used instead of the ``dict``.
This feature can be used to implement custom decoders.  If ``object_hook``
is also defined, the ``object_pairs_hook`` takes priority.

``parse_float``, if specified, will be called with the string
of every JSON float to be decoded. By default this is equivalent to
float(num_str). This can be used to use another datatype or parser
for JSON floats (e.g. decimal.Decimal).

``parse_int``, if specified, will be called with the string
of every JSON int to be decoded. By default this is equivalent to
int(num_str). This can be used to use another datatype or parser
for JSON integers (e.g. float).

``parse_constant``, if specified, will be called with one of the
following strings: -Infinity, Infinity, NaN.
This can be used to raise an exception if invalid JSON numbers
are encountered.

To use a custom ``JSONDecoder`` subclass, specify it with the ``cls``
kwarg; otherwise ``JSONDecoder`` is used.

data.json文件链接

链接：https://pan.baidu.com/s/1omzU65YMpJr0jPPFItZ7SA
提取码：ysly
复制这段内容后打开百度网盘手机App，操作更方便哦

上述文件相对常见的Json文件来说，还是有点区别的，用python的json库操作相对有点困难。

报错Expection \，delimiter，看了好些解决办法仍然没能成功解决：

# 输入文件
{'asin': '0000032069', 'title': 'Adult Ballet Tutu Cheetah Pink', 'price': 7.89, 'imUrl': 'http://ecx.images-amazon.com/images/I/51EzU6quNML._SX342_.jpg', 'related': {'also_bought': ['0000032050', 'B00D0DJAEG', '0000032042', 'B00D0F450I', 'B00D2JTMS2', 'B00D0FDUAY', 'B00D2JSRFQ', '0000032034', 'B00D0D5F6S', 'B00D2JRWWA', 'B00D0FIIJM', 'B00D0FCQQI', 'B00EXVN9PU', 'B0041EOTJO', 'B004PYEE8G', 'B001GTKPDQ', 'B00EON0SJ2', 'B005HMHOQ4', 'B002XZMGGQ'], 'also_viewed': ['B00D0F450I', '0000032050', 'B00D2JTMS2', '0000032042', 'B004PYEE8G', 'B00JHNSNSM', 'B00D0DJAEG', 'B00D2JSRFQ', 'B00D0FCQQI', 'B00D2JRWWA', 'B003AVNY6I', 'B0071KR2LC', 'B00GOR07RE', 'B00D0FIIJM', 'B005F50FXC', 'B0079MCIMU', 'B00D0FDUAY', 'B00H3RYN3I', 'B005C4Y4F6', 'B007IEFT84', 'B00D0D5F6S', 'B002BZX8Z6', 'B00JHONN1S', 'B008F0SU0Y', 'B00FNNFXAG', 'B007R2RM8W', 'B007VM3AMK', 'B00C0PLENA', 'B00BJGG6VG', 'B00E1YRI4C', 'B00IIK61WA', 'B009UC638W', 'B00KZN6RVI', 'B00CSFEENY', 'B002GZGI4E', 'B00HSOJJ94', 'B00LIPP4VG', 'B009RXWNSI', 'B00E87F196', 'B005HMHOQY', 'B00J6S9MSS', '0000032034', 'B00CJQGNJK', 'B008FCA0F0', 'B0056LG7GY', 'B00DPQWCZ2', 'B00I3PV0US', 'B00KZN6IVW', 'B0054TBWKO', 'B00I2S01I8', 'B00BXF12P8', 'B00GVHU678', 'B005NWENGC', 'B003AVKOP2', 'B00JK8MQ4Q', 'B00FZIMVQS', 'B008BB19VE', 'B00GTEXPOE', 'B009WPT2RQ', 'B00E37SBBG'], 'bought_together': ['0000032050', 'B00D0DJAEG', '0000032042', 'B00D0F450I']}, 'brand': 'BubuBibi', 'categories': [['Sports & Outdoors', 'Other Sports', 'Dance', 'Clothing', 'Girls', 'Skirts']]}
{'asin': '0000031909', 'related': {'also_bought': ['B002BZX8Z6', 'B00JHONN1S', '0000031895', 'B00D2K1M3O', '0000031852', 'B00D0WDS9A', 'B00D10CLVW', 'B00D103F8U', 'B003AVEU6G', 'B00D2K0PA0', 'B002GZGI4E', 'B00D0ZF44Y', 'B008F0SMUC', 'B00D0GCI8S', 'B008F0SU0Y', 'B002YSCPZY', '0448408775', 'B002R0FABA', 'B008GHWNWC', 'B002R0FA24', 'B001GTKPEK', 'B006XA7KZO', 'B001GZUQ9S', 'B00613VNL0', 'B003IEDM9Q', 'B003LTOZK8', 'B003AVNY6I', 'B008UBQZKU', 'B001AQD8VQ', 'B003ILA0L2', 'B00AFDOPDA', 'B002R0F7FE'], 'also_viewed': ['B002BZX8Z6', 'B00JHONN1S', 'B008F0SU0Y', 'B00E1YRI4C', 'B00AFDOPDA', 'B002GZGI4E', 'B00CEUWY8K', 'B003IEDM9Q', 'B00HSOJB9M', '0000031895', 'B003AVKOP2', 'B005C4Y4F6', 'B008F0SMUC', 'B00362QGW0', 'B008UD01L2', 'B00FAZ5ZE6', 'B008F0SY6O', 'B00DPLLQR2', 'B00CEUWUZC', 'B004PYEE8G', 'B003AVNY6I', 'B00CEUX0D8', 'B00JHNSNSM', 'B00D10CLVW', 'B00D23MC6W', 'B007XAI53E', 'B008X6CBS2', 'B004PEI45U', 'B005HMHOQ4', 'B002C3Y6WG', 'B00HSC8O74', 'B008BMGHM4', 'B00CEUWTFS', 'B00FNNFXAG', 'B00CYBU84G', 'B00D9C32NI', 'B0046W9T8C', 'B008UBG5IW', 'B001YHX45G', 'B00CEV8366', 'B00I2UHSZA', 'B009RXWNSI', 'B008FCA0F0', 'B001GTKPEK', 'B004TU1VPU', 'B00CBPIO7S', 'B00CHHXJ0M', 'B00538F5OK', 'B005F50FXC', 'B00CEUX4QQ', 'B003XRKA7A', '0000031852', 'B002C3R5XI', 'B00C6Q1Z6E'], 'bought_together': ['B002BZX8Z6']}, 'title': 'Girls Ballet Tutu Neon Pink', 'price': 7.0, 'salesRank': {'Toys & Games': 201847}, 'imUrl': 'http://ecx.images-amazon.com/images/I/41xBoP0FVzL._SY300_.jpg', 'brand': 'Unknown', 'categories': [['Sports & Outdoors', 'Other Sports', 'Dance']], 'description': 'High quality 3 layer ballet tutu. 12 inches in length'}


# 常见的Json读取
JsonText = open('data.json',encoding='utf-8') # 打开data.json
Json = JsonText.readlines() # 把json中的文件全部读取到Json对象中。

# 读取上述data.json为json对象的代码
list_data = list()
def read_Json_file(i,x):
    # 返回有效的Json字段
    print("第" + i + "行:")
    print(x)
    # 关于expectint的报错，我这处理就是但凡报错，直接返回空字段，如果你有别的解决办法，一定指教一下，不胜感激
    try:
        JsonStr = x.replace("'", '"').replace('/ ', '/').replace(', ',',')
        ret = json.loads(JsonStr,strict=False)
    except json.JSONDecodeError:
        return ' '
        
    if('categories' in ret):
        print(ret['categories'])
        return ret['categories']
    else:
        return ' '
    
list_data = list()
for i in range(0,len(Json)):
	list_data.append(read_Json_file(str(i+1),Json[i]))

程序输出

第1行:
{'asin': '0000032069', 'title': 'Adult Ballet Tutu Cheetah Pink', 'price': 7.89, 'imUrl': 'http://ecx.images-amazon.com/images/I/51EzU6quNML._SX342_.jpg', 'related': {'also_bought': ['0000032050', 'B00D0DJAEG', '0000032042', 'B00D0F450I', 'B00D2JTMS2', 'B00D0FDUAY', 'B00D2JSRFQ', '0000032034', 'B00D0D5F6S', 'B00D2JRWWA', 'B00D0FIIJM', 'B00D0FCQQI', 'B00EXVN9PU', 'B0041EOTJO', 'B004PYEE8G', 'B001GTKPDQ', 'B00EON0SJ2', 'B005HMHOQ4', 'B002XZMGGQ'], 'also_viewed': ['B00D0F450I', '0000032050', 'B00D2JTMS2', '0000032042', 'B004PYEE8G', 'B00JHNSNSM', 'B00D0DJAEG', 'B00D2JSRFQ', 'B00D0FCQQI', 'B00D2JRWWA', 'B003AVNY6I', 'B0071KR2LC', 'B00GOR07RE', 'B00D0FIIJM', 'B005F50FXC', 'B0079MCIMU', 'B00D0FDUAY', 'B00H3RYN3I', 'B005C4Y4F6', 'B007IEFT84', 'B00D0D5F6S', 'B002BZX8Z6', 'B00JHONN1S', 'B008F0SU0Y', 'B00FNNFXAG', 'B007R2RM8W', 'B007VM3AMK', 'B00C0PLENA', 'B00BJGG6VG', 'B00E1YRI4C', 'B00IIK61WA', 'B009UC638W', 'B00KZN6RVI', 'B00CSFEENY', 'B002GZGI4E', 'B00HSOJJ94', 'B00LIPP4VG', 'B009RXWNSI', 'B00E87F196', 'B005HMHOQY', 'B00J6S9MSS', '0000032034', 'B00CJQGNJK', 'B008FCA0F0', 'B0056LG7GY', 'B00DPQWCZ2', 'B00I3PV0US', 'B00KZN6IVW', 'B0054TBWKO', 'B00I2S01I8', 'B00BXF12P8', 'B00GVHU678', 'B005NWENGC', 'B003AVKOP2', 'B00JK8MQ4Q', 'B00FZIMVQS', 'B008BB19VE', 'B00GTEXPOE', 'B009WPT2RQ', 'B00E37SBBG'], 'bought_together': ['0000032050', 'B00D0DJAEG', '0000032042', 'B00D0F450I']}, 'brand': 'BubuBibi', 'categories': [['Sports & Outdoors', 'Other Sports', 'Dance', 'Clothing', 'Girls', 'Skirts']]}

[['Sports & Outdoors', 'Other Sports', 'Dance', 'Clothing', 'Girls', 'Skirts']]
第2行:
{'asin': '0000031909', 'related': {'also_bought': ['B002BZX8Z6', 'B00JHONN1S', '0000031895', 'B00D2K1M3O', '0000031852', 'B00D0WDS9A', 'B00D10CLVW', 'B00D103F8U', 'B003AVEU6G', 'B00D2K0PA0', 'B002GZGI4E', 'B00D0ZF44Y', 'B008F0SMUC', 'B00D0GCI8S', 'B008F0SU0Y', 'B002YSCPZY', '0448408775', 'B002R0FABA', 'B008GHWNWC', 'B002R0FA24', 'B001GTKPEK', 'B006XA7KZO', 'B001GZUQ9S', 'B00613VNL0', 'B003IEDM9Q', 'B003LTOZK8', 'B003AVNY6I', 'B008UBQZKU', 'B001AQD8VQ', 'B003ILA0L2', 'B00AFDOPDA', 'B002R0F7FE'], 'also_viewed': ['B002BZX8Z6', 'B00JHONN1S', 'B008F0SU0Y', 'B00E1YRI4C', 'B00AFDOPDA', 'B002GZGI4E', 'B00CEUWY8K', 'B003IEDM9Q', 'B00HSOJB9M', '0000031895', 'B003AVKOP2', 'B005C4Y4F6', 'B008F0SMUC', 'B00362QGW0', 'B008UD01L2', 'B00FAZ5ZE6', 'B008F0SY6O', 'B00DPLLQR2', 'B00CEUWUZC', 'B004PYEE8G', 'B003AVNY6I', 'B00CEUX0D8', 'B00JHNSNSM', 'B00D10CLVW', 'B00D23MC6W', 'B007XAI53E', 'B008X6CBS2', 'B004PEI45U', 'B005HMHOQ4', 'B002C3Y6WG', 'B00HSC8O74', 'B008BMGHM4', 'B00CEUWTFS', 'B00FNNFXAG', 'B00CYBU84G', 'B00D9C32NI', 'B0046W9T8C', 'B008UBG5IW', 'B001YHX45G', 'B00CEV8366', 'B00I2UHSZA', 'B009RXWNSI', 'B008FCA0F0', 'B001GTKPEK', 'B004TU1VPU', 'B00CBPIO7S', 'B00CHHXJ0M', 'B00538F5OK', 'B005F50FXC', 'B00CEUX4QQ', 'B003XRKA7A', '0000031852', 'B002C3R5XI', 'B00C6Q1Z6E'], 'bought_together': ['B002BZX8Z6']}, 'title': 'Girls Ballet Tutu Neon Pink', 'price': 7.0, 'salesRank': {'Toys & Games': 201847}, 'imUrl': 'http://ecx.images-amazon.com/images/I/41xBoP0FVzL._SY300_.jpg', 'brand': 'Unknown', 'categories': [['Sports & Outdoors', 'Other Sports', 'Dance']], 'description': 'High quality 3 layer ballet tutu. 12 inches in length'}

[['Sports & Outdoors', 'Other Sports', 'Dance']]

打印了json中categories对象的值：

[['Sports & Outdoors',
'Other Sports',
'Dance',
'Clothing',
'Girls',
'Skirts']],
[['Sports & Outdoors', 'Other Sports', 'Dance']],
[['Sports & Outdoors',
'Other Sports',
'Dance',
'Clothing',
'Girls',
'Skirts']]

2. 常见错误及解决办法

  1. Expecting property name enclosed in double quotes: line 1 column 2 (char 1)

Json文件的单双引号不对，如下所示Python中的一个str，Json中的Key值都是用单引号'括起来的，就会报错Expecting property name enclosed in double quotes：

"{'asin': '0000032069', 'title': 'Adult Ballet Tutu Cheetah Pink', 'price': 7.89, 'imUrl': 'http://ecx.images-amazon.com/images/I/51EzU6quNML._SX342_.jpg', 'related': {'also_bought': ['0000032050', 'B00D0DJAEG', '0000032042', 'B00D0F450I', 'B00D2JTMS2', 'B00D0FDUAY', 'B00D2JSRFQ', '0000032034', 'B00D0D5F6S', 'B00D2JRWWA', 'B00D0FIIJM', 'B00D0FCQQI', 'B00EXVN9PU', 'B0041EOTJO', 'B004PYEE8G', 'B001GTKPDQ', 'B00EON0SJ2', 'B005HMHOQ4', 'B002XZMGGQ'], 'also_viewed': ['B00D0F450I', '0000032050', 'B00D2JTMS2', '0000032042', 'B004PYEE8G', 'B00JHNSNSM', 'B00D0DJAEG', 'B00D2JSRFQ', 'B00D0FCQQI', 'B00D2JRWWA', 'B003AVNY6I', 'B0071KR2LC', 'B00GOR07RE', 'B00D0FIIJM', 'B005F50FXC', 'B0079MCIMU', 'B00D0FDUAY', 'B00H3RYN3I', 'B005C4Y4F6', 'B007IEFT84', 'B00D0D5F6S', 'B002BZX8Z6', 'B00JHONN1S', 'B008F0SU0Y', 'B00FNNFXAG', 'B007R2RM8W', 'B007VM3AMK', 'B00C0PLENA', 'B00BJGG6VG', 'B00E1YRI4C', 'B00IIK61WA', 'B009UC638W', 'B00KZN6RVI', 'B00CSFEENY', 'B002GZGI4E', 'B00HSOJJ94', 'B00LIPP4VG', 'B009RXWNSI', 'B00E87F196', 'B005HMHOQY', 'B00J6S9MSS', '0000032034', 'B00CJQGNJK', 'B008FCA0F0', 'B0056LG7GY', 'B00DPQWCZ2', 'B00I3PV0US', 'B00KZN6IVW', 'B0054TBWKO', 'B00I2S01I8', 'B00BXF12P8', 'B00GVHU678', 'B005NWENGC', 'B003AVKOP2', 'B00JK8MQ4Q', 'B00FZIMVQS', 'B008BB19VE', 'B00GTEXPOE', 'B009WPT2RQ', 'B00E37SBBG'], 'bought_together': ['0000032050', 'B00D0DJAEG', '0000032042', 'B00D0F450I']}, 'brand': 'BubuBibi', 'categories': [['Sports & Outdoors', 'Other Sports', 'Dance', 'Clothing', 'Girls', 'Skirts']]}"

替换掉str中的'为"，替换/_（空格）为/:

text.replace("'", '"').replace('/ ', '/')

再接着读取就不会报错了！！！

JsonValue['categories']

结果：

[['Sports & Outdoors', 'Other Sports', 'Dance', 'Clothing', 'Girls', 'Skirts']]
  1. expecting , delimiter

这个问题真的被搞得头疼，到目前还没解决，Json字段是没有问题的，但是loads()函数就是会报错

解决办法

posted @ 2021-05-25 20:25  StimuMing  阅读(590)  评论(0)  编辑  收藏  举报