我在这个链接上有一个数据集(漂亮的打印副本):
[
[
[
"ICE 78",
1410011548,
513933251,
"84/460303/18/19/80",
"17",
1,
"55",
"Hamburg-Altona",
[
[
206,
-144,
-476,
"11",
"36",
null,
null
],
[
-90,
72,
2477,
"11",
"37",
null,
null
],
[
-279,
189,
4192,
"11",
"36",
null,
null
],
[
-2922,
1654,
26958,
"12",
"37",
null,
null
],
[
-3129,
1762,
28673,
"12",
"35",
null,
null
],
[
-3380,
1870,
30674,
"13",
"35",
null,
null
],
[
-3596,
1951,
32292,
"13",
"37",
null,
null
],
[
-4045,
2095,
35531,
"",
"0",
null,
null
]
],
"Hamburg Dammtor",
"8002548",
"Hamburg-Altona",
"8002553",
"28.11.17",
"2",
null,
"13:50",
"13:43",
null,
"54",
"0",
null,
null
]
]
]
关于数据的基本信息:数据集是关于运输公司及其列车的实时信息
以这种方式从Firefox的漂亮打印视图复制的数据我想解析这个页面,然后将数据提取到一个有用的结构中。就像一本字典。
我尝试过一些方法,可惜没有成功,我对所有的想法都很满意
我尝试了以下方法:
with urllib.request.urlopen(url) as response:
data = json.loads(response.read().decode('utf-8', 'ignore'))
目前没有回答
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