我在其他类似的问题上看到他们使用像ijson这样的库。但我似乎不知道如何用它来解决这个问题。你知道吗
这是我目前掌握的代码:
f = urllib.request.urlopen("https://data.medicaid.gov/resource/4qik-skk9.json?$limit=646259")
stuff = ijson.items(f,"")
for items in stuff:
print(items)
json结构如下所示:
[
{
"package_size_code": "60",
"fda_ther_equiv_code": "NR",
"fda_application_number": "204153",
"clotting_factor_indicator": "N",
"year": "2018",
"fda_product_name": "LUZU Cream 1% 60gm",
"labeler_name": "MEDICIS DERMATOLOGICS, INC.",
"ndc": "99207085060",
"product_code": "0850",
"unit_type": "GM",
"fda_approval_date": "2013-11-14T00:00:00",
"market_date": "2014-03-14T00:00:00",
"pediatric_indicator": "N",
"package_size_intro_date": "2014-03-14T00:00:00",
"units_per_pkg_size": "60000",
"labeler_code": "99207",
"desi_indicator": "1",
"drug_category": "S",
"quarter": "3",
"cod_status": "3"
},
{
"package_size_code": "60",
"fda_ther_equiv_code": "AB",
"fda_application_number": "21758",
"clotting_factor_indicator": "N",
"year": "2018",
"fda_product_name": "VANOS CREAM .1%",
"labeler_name": "MEDICIS DERMATOLOGICS, INC.",
"ndc": "99207052560",
"product_code": "0525",
"unit_type": "GM",
"fda_approval_date": "2005-02-11T00:00:00",
"market_date": "2005-02-21T00:00:00",
"pediatric_indicator": "N",
"package_size_intro_date": "2005-02-21T00:00:00",
"units_per_pkg_size": "60000",
"labeler_code": "99207",
"desi_indicator": "1",
"drug_category": "I",
"quarter": "3",
"cod_status": "3"
},
.
.
.
.
]
我要做的是得到所有的结果并对它们应用一些过滤器来获得一个值。例如,我试图从所有条目中获取年的最大值。要做到这一点,我想我需要阅读所有的数据。你知道吗
这似乎解决了内存问题:
parser = ijson.parse(urllib.request.urlopen('https://data.medicaid.gov/resource/4qik-skk9.json?$limit=646259'))
for prefix, event, value in parser:
#print(prefix)
print(event)
#print(value)
数据出来的不太整齐,但正在进步。你知道吗
目前没有回答
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