Question

我已经学习了几个月的python，在我自己的项目中开始了几个在线课程。我发现了一个有趣的网站，它以json格式提供数据，我使用urllib库导入，使用json库解析并最终将其插入到mysql数据库中。这个项目的第一部分和最后一部分工作，但不是解析部分。这是完整的json文件的一部分：

{
"total": 24555,
"results": {
    "type": "FeatureCollection",
    "features": [
        {
            "type": "Feature",
            "geometry": null,
            "id": "556897c8b9a2143b1187cf79",
            "properties": {
                "Expedition": "okavango_15",
                "SpeciesName": "African Hoopoe",
                "Count": 1,
                "t_utc": 1325383950,
                "t_created": 1432917960.344582,
                "Member": "Maans",
                "Taxonomy": {
                    "Kingdom": "Animalia",
                    "Species": "Upupa epops",
                    "Family": "Upupidae",
                    "Genus": "Upupa",
                    "Phylum": "Chordata",
                    "Order": "Upupiformes",
                    "Class": "Aves"
                },
                "FeatureType": "sighting",
                "Images": [],
                "DateTime": "2012-01-01T04:12:30+0200",
                "EstimatedGeometry": null,
                "Behavior": "Flying",
                "Habitat": "Mioambo Woodland"
            }
        },
        {
            "type": "Feature",
            "geometry": null,
            "id": "556897b2b9a2143b1d14a807",
            "properties": {
                "Expedition": "okavango_15",
                "SpeciesName": "Peregrine Falcon",
                "Count": 1,
                "t_utc": 1325406263,
                "t_created": 1432917938.878641,
                "Member": "Maans",
                "Taxonomy": {
                    "Kingdom": "Animalia",
                    "Species": "Falco peregrinus",
                    "Family": "Falconidae",
                    "Genus": "Falco",
                    "Phylum": "Chordata",
                    "Order": "Falconiformes",
                    "Class": "Aves"
                },
                "FeatureType": "sighting",
                "Images": [],
                "DateTime": "2012-01-01T10:24:23+0200",
                "EstimatedGeometry": null,
                "Behavior": "Flying",
                "Habitat": "Mioambo Woodland"
            }
        },
        {
            "properties": {
                "SpeciesName": "Reed Cormorant",
                "Count": 1,
                "Accuracy": 8.0,
                "Expedition": "okavango_13",
                "t_created": 1430929467.352914,
                "Member": null,
                "FeatureType": "sighting",
                "Altitude": 973.2047942238661,
                "t_utc": 1378449600,
                "DateTime": "2013-09-06T08:40:00+0200",
                "Activity": "L",
                "SightingId": 0
            },
            "geometry": {
                "type": "Point",
                "coordinates": [
                    22.345429148371103,
                    -19.018043140479318
                ]
            },
            "id": "554a403bb9a21401a231284f",
            "type": "Feature"
        }
    ]
},
"resolution": "full",
"filter": {
    "FeatureType": "sighting"
},
"returned": 3,
"order": 1,
"limit": 3

}

为解析json文件，我使用以下代码：

import json

def remove_nulls(d):
    return {k: v for k, v in d.iteritems() if v is not None}

with open('okavango.json') as fhand:
    data = json.loads(fhand.read(), object_hook=remove_nulls)

我想从中获取数据的级别是＆＃34;功能＆＃34;，其中包含动物目击以及许多其他键，如物种名称，时间戳，位置。各种目击不总是包含相同的键，例如位置并不总是存在。我想通过瞄准思想来解析数据目标，因为我希望它在我的数据库中是一行。通过使用这种代码调用每个单独的项目，我能够获得我想要的每一个数据：

results = data["results"]

for item in results["features"]:
    value1 = item["id"]
    value2 = item["properties"]["t_created"]

但是这使得我的代码很长，而且我猜它应该更容易迭代。但是，我无法获得每个单个的单键/值结果。我已经使用了.get函数，.values等但事实证明，我的json文件中的每个级别都不是字典，而是列表。如果我运行此代码，例如：

print type(data)
data2 = data["results"]
print type(data2)
data3 = data2["features"]
print type(data3)

我的结果是这样的：键入＆＃39; dict＆＃39; 键入＆＃39; dict＆＃39; 键入＆＃39; list＆＃39;

如何迭代原始json加载并通过目击解析数据？

Answer 1

我不明白你的意思＆＃34;通过瞄准＆＃34;解析数据，但以下代码将遍历你的JSON。如果您调整问题以包含您希望的输出示例，我可以提供更多帮助。

data = json.loads(json_data)


def iterate_item(item):
    result_str = ""
    if type(item) == dict:
        for key in item:
            result_str = result_str + key + ": " + iterate_item(item[key])
    elif type(item) == list:
        for i in item:
            result_str = result_str + iterate_item(i) + ", "
    else:
        if not item:
            item = "None"
        result_str = result_str + str(item) + ". "

    return result_str

for sighting in data["results"]["features"]:
    print iterate_item(sighting) + "\n\n"

用python迭代json

1 个答案: