Python中使用json.load()和json.loads()加载json数据的方法实例
作者：cool whidpers
在python编程中,我们经常要用到json对象作为数据交换格式,下面这篇文章主要给大家介绍了关于Python中使用json.load()和json.loads()加载json数据的方法实例,文中通过实例代码介绍的非常详细,需要的朋友可以参考下
前言
最近在python里面用json读取json文件，可是老是不成功，特此记录一下。
预备知识：
def load(fp, cls=None, object_hook=None, parse_float=None,
parse_int=None, parse_constant=None, object_pairs_hook=None, **kw):
"""Deserialize ``fp`` (a ``.read()``-supporting file-like object containing
a JSON document) to a Python object."""
def loads(s, encoding=None, cls=None, object_hook=None, parse_float=None,
parse_int=None, parse_constant=None, object_pairs_hook=None, **kw):
"""Deserialize ``s`` (a ``str`` instance containing a JSON
document) to a Python object."""
其实我刚刚看json.load()和json.loads()代码定义的时候，也不知道什么是文件类型。什么是字符串类型，用python的type函数看一下就好了
例如：
with open("文件名") as f:
print(type(f)) # <class '_io.TextIOWrapper'> 也就是文本IO类型
result=json.load(f)
with open("文件名") as f:
line=f.readline():
print(type(line)) # <class 'str'>
result=json.loads(line)使用方法
从以上可以看出json.load()是用来读取文件的，即，将文件打开然后就可以直接读取。示例如下：
with open("文件名") as f:
result=json.load(f)json.loads()是用来读取字符串的，即，可以把文件打开，用readline()读取一行，然后json.loads()一行。示例如下：
#json文件为：
{"outputs": ["pool1/7x7/ets", "pool1/7x7/rf", "pool1/10x10/ets", "pool1/10x10/rf", "pool1/13x13/ets", "pool1/13x13/rf"]}读取代码如下：
with open("文件名") as f:
line=f.readline():
result=json.loads(line)当json文件如下时，读取内容是错误的：
{
"dataset":{
"train": {"type": "mnist", "data_set": "train", "layout_x": "tensor"},
"test": {"type": "mnist", "data_set": "test", "layout_x": "tensor"}
},
"train":{
"keep_model_in_mem":0,
"random_state":0,
"data_cache":{
"cache_in_disk":{
"default":1
},
"keep_in_mem":{
"default":0
},
"cache_dir":"/mnt/raid/fengji/gcforest/mnist/fg-tree500-depth100-3folds/datas"
}
},
"net":{
"outputs": ["pool1/7x7/ets", "pool1/7x7/rf", "pool1/10x10/ets", "pool1/10x10/rf", "pool1/13x13/ets", "pool1/13x13/rf"],
"layers":[
{
"type":"FGWinLayer",
"name":"win1/7x7",
"bottoms": ["X","y"],
"tops":["win1/7x7/ets", "win1/7x7/rf"],
"n_classes": 124,
"estimators": [
{"n_folds":3,"type":"ExtraTreesClassifier","n_estimators":500,"max_depth":100,"n_jobs":-1,"min_samples_leaf":10},
{"n_folds":3,"type":"RandomForestClassifier","n_estimators":500,"max_depth":100,"n_jobs":-1,"min_samples_leaf":10}
],
"stride_x": 2,
"stride_y": 2,
"win_x":7,
"win_y":7
},
{
"type":"FGWinLayer",
"name":"win1/10x10",
"bottoms": ["X","y"],
"tops":["win1/10x10/ets", "win1/10x10/rf"],
"n_classes": 10,
"estimators": [
{"n_folds":3,"type":"ExtraTreesClassifier","n_estimators":500,"max_depth":100,"n_jobs":-1,"min_samples_leaf":10},
{"n_folds":3,"type":"RandomForestClassifier","n_estimators":500,"max_depth":100,"n_jobs":-1,"min_samples_leaf":10}
],
"stride_x": 2,
"stride_y": 2,
"win_x":10,
"win_y":10
},
{
"type":"FGWinLayer",
"name":"win1/13x13",
"bottoms": ["X","y"],
"tops":["win1/13x13/ets", "win1/13x13/rf"],
"n_classes": 10,
"estimators": [
{"n_folds":3,"type":"ExtraTreesClassifier","n_estimators":500,"max_depth":100,"n_jobs":-1,"min_samples_leaf":10},
{"n_folds":3,"type":"RandomForestClassifier","n_estimators":500,"max_depth":100,"n_jobs":-1,"min_samples_leaf":10}
],
"stride_x": 2,
"stride_y": 2,
"win_x":13,
"win_y":13
},
{
"type":"FGPoolLayer",
"name":"pool1",
"bottoms": ["win1/7x7/ets", "win1/7x7/rf", "win1/10x10/ets", "win1/10x10/rf", "win1/13x13/ets", "win1/13x13/rf"],
"tops": ["pool1/7x7/ets", "pool1/7x7/rf", "pool1/10x10/ets", "pool1/10x10/rf", "pool1/13x13/ets", "pool1/13x13/rf"],
"pool_method": "avg",
"win_x":2,
"win_y":2
}
]
}
}因为在代码中，json.loads()并没有读取完整的json文件，只是读取了行，所以这时json.loads(line)读取的是不合符json语法的字符串，会报错：
with open("文件名") as f:
line=f.readline(): # 这里line只是读取了json文件的一行，并没有全部读取，所以line里面所存的字符串是不符合json语法的，所以读取出错。
result=json.loads(line)
Traceback (most recent call last):
File "D:/PycharmProjects/mnistCheck/test.py", line 12, in <module>
result = json.loads(row)
File "C:\ProgramData\Anaconda3\envs\tensorflow\lib\json\__init__.py", line 319, in loads
return _default_decoder.decode(s)
File "C:\ProgramData\Anaconda3\envs\tensorflow\lib\json\decoder.py", line 339, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "C:\ProgramData\Anaconda3\envs\tensorflow\lib\json\decoder.py", line 355, in raw_decode
obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 2 column 1 (char 2)那么问题来了。。。。在实际应用中，我们会在json文件中做注释，比如以“//”开头的注释，除了注释部分外，其他内容都是符合json语法的，那么我们要怎么处理呢？
def load_json(path):
import json
lines = [] # 第一步：定义一个列表， 打开文件
with open(path) as f:
for row in f.readlines(): # 第二步：读取文件内容
if row.strip().startswith("//"): # 第三步：对每一行进行过滤
continue
lines.append(row) # 第四步：将过滤后的行添加到列表中.
return json.loads("\n".join(lines)) #将列表中的每个字符串用某一个符号拼接为一整个字符串，用json.loads()函数加载，这样就大功告成啦！！总结
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