深入了解嵌套字典
Drill down into nested dictionary
这是一个很菜鸟的问题,请见谅。
谁能帮我深入了解嵌套字典。
我想知道如何访问字典“数据”(请参阅 link 中的数据)以便我可以对其进行分析。
非常感谢。
我正在使用 jupyter notbooks。
这是我目前拥有的:
import json
import pandas as pd
with open('./source/small_data_clean.json') as access_json:
read_content = json.load(access_json)
type(read_content)
data_access = read_content['data']
data_access
您必须继续访问每个级别的密钥:
例如:
data_access['data']
data_access['data']['0']
data_access['data']['0']['Pi']
你必须迭代访问字典中的元素,这里是一个工作示例;
# TODO: Access, "data" -> "0" -> "Vi" -> "Diff"
def index_nested_dict(dict: dict, keys: list):
for key in keys:
dict = dict[key]
return dict
test_dict = {
"total": 1498,
"state": "0",
"limit": 10,
"offset": 0,
"data": {
"0": {
"Pi": "18165592935938996736",
"Ph": "keyword 1",
"Kb": 20190326,
"Tg": {},
"Cp": "2.25",
"Nq": "260",
"Gs": "0",
"Dt": {
"20191225": {
"*.mysite.com\/*": 7
}
},
"Be": {
"*.mysite.com\/*": 7
},
"Fi": {
"*.mysite.com\/*": 7
},
"Diff": {
"*.mysite.com\/*": 0
},
"Diff1": {
"*.mysite.com\/*": 93
},
"Diff7": {
"*.mysite.com\/*": 93
},
"Diff30": {
"*.mysite.com\/*": 93
},
"Vi": {
"20191225": {
"*.mysite.com\/*": 0.0068999999999999999
},
"Diff": {
"*.mysite.com\/*": 0
}
},
"Sf": {
"20191225": [
"adt",
"rev",
"stl"
]
},
"Tr": {
"20191225": {
"*.mysite.com\/*": 0.32000000000000001
}
},
"Tc": {
"20191225": {
"*.mysite.com\/*": 0.73999999999999999
}
},
"Lu": {
"20191225": {
"*.mysite.com\/*": "https:\/\/www.mysite.com\/product.cfm?p=155"
}
},
"Lt": {
"20191225": {
"*.mysite.com\/*": [
"org"
]
}
}
},
"1": {
"Pi": "1090615528833642752",
"Ph": "keyword 2",
"Kb": 20190326,
"Tg": {},
"Cp": "0.81",
"Nq": "390",
"Gs": "0",
"Dt": {
"20191225": {
"*.mysite.com\/*": 3
}
},
"Be": {
"*.mysite.com\/*": 3
},
"Fi": {
"*.mysite.com\/*": 3
},
"Diff": {
"*.mysite.com\/*": 0
},
"Diff1": {
"*.mysite.com\/*": 97
},
"Diff7": {
"*.mysite.com\/*": 97
},
"Diff30": {
"*.mysite.com\/*": 97
},
"Vi": {
"20191225": {
"*.mysite.com\/*": 0.017399999999999999
},
"Diff": {
"*.mysite.com\/*": 0
}
},
"Sf": {
"20191225": [
"adb"
]
},
"Tr": {
"20191225": {
"*.mysite.com\/*": 1.23
}
},
"Tc": {
"20191225": {
"*.mysite.com\/*": 1
}
},
"Lu": {
"20191225": {
"*.mysite.com\/*": "https:\/\/www.mysite.com\/keyword2\/"
}
},
"Lt": {
"20191225": {
"*.mysite.com\/*": [
"org"
]
}
}
},
"2": {
"Pi": "13621862969727492608",
"Ph": "keyword 3",
"Kb": 20190326,
"Tg": {},
"Cp": "0.52",
"Nq": "210",
"Gs": "0",
"Dt": {
"20191225": {
"*.mysite.com\/*": 25
}
},
"Be": {
"*.mysite.com\/*": 25
},
"Fi": {
"*.mysite.com\/*": 25
},
"Diff": {
"*.mysite.com\/*": 0
},
"Diff1": {
"*.mysite.com\/*": 75
},
"Diff7": {
"*.mysite.com\/*": 75
},
"Diff30": {
"*.mysite.com\/*": 75
},
"Vi": {
"20191225": {
"*.mysite.com\/*": 0.0016000000000000001
},
"Diff": {
"*.mysite.com\/*": 0
}
},
"Sf": {
"20191225": [
"stl"
]
},
"Tr": {
"20191225": {
"*.mysite.com\/*": 0.059999999999999998
}
},
"Tc": {
"20191225": {
"*.mysite.com\/*": 0.029999999999999999
}
},
"Lu": {
"20191225": {
"*.mysite.com\/*": "https:\/\/www.mysite.com\/keyword3\/"
}
},
"Lt": {
"20191225": {
"*.mysite.com\/*": [
"org"
]
}
}
}
},
"Sfc": {
"org": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"geo": {
"Ex": 7,
"Ne": 1491,
"De": 0,
"Dn": 7
},
"amp": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"tea": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"new": {
"Ex": 4,
"Ne": 1494,
"De": 0,
"Dn": 4
},
"rel": {
"Ex": 56,
"Ne": 1442,
"De": 0,
"Dn": 56
},
"img": {
"Ex": 2,
"Ne": 1496,
"De": 0,
"Dn": 2
},
"adt": {
"Ex": 275,
"Ne": 1223,
"De": 82,
"Dn": 193
},
"shp": {
"Ex": 103,
"Ne": 1395,
"De": 0,
"Dn": 103
},
"knw": {
"Ex": 1,
"Ne": 1497,
"De": 0,
"Dn": 1
},
"twt": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"app": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"vib": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"rev": {
"Ex": 1208,
"Ne": 290,
"De": 0,
"Dn": 1208
},
"vid": {
"Ex": 6,
"Ne": 1492,
"De": 0,
"Dn": 6
},
"fsn": {
"Ex": 67,
"Ne": 1431,
"De": 0,
"Dn": 67
},
"stl": {
"Ex": 911,
"Ne": 587,
"De": 69,
"Dn": 842
},
"adb": {
"Ex": 573,
"Ne": 925,
"De": 220,
"Dn": 353
},
"kng": {
"Ex": 32,
"Ne": 1466,
"De": 0,
"Dn": 32
}
},
"Vc": {
"0-10": 199,
"11 - 100": 36,
"101 - 1000": 1006,
"1001 - 10000": 204,
"10001+": 53
},
"Topc": {
"all": 1498,
"all_improved": 0,
"all_declined": 0,
"all_difference": 0,
"all_left": 0,
"all_entered": 0,
"all_unchanged": 1498,
"top3": 177,
"top3_improved": 0,
"top3_declined": 0,
"top3_difference": 0,
"top3_left": 0,
"top3_entered": 0,
"top3_unchanged": 177,
"top10": 512,
"top10_improved": 0,
"top10_declined": 0,
"top10_difference": 0,
"top10_left": 0,
"top10_entered": 0,
"top10_unchanged": 512,
"top20": 741,
"top20_improved": 0,
"top20_declined": 0,
"top20_difference": 0,
"top20_left": 0,
"top20_entered": 0,
"top20_unchanged": 741,
"4_10": 335,
"4_10_improved": 0,
"4_10_declined": 0,
"4_10_difference": 0,
"4_10_left": 0,
"4_10_entered": 0,
"4_10_unchanged": 335,
"11_20": 229,
"11_20_improved": 0,
"11_20_declined": 0,
"11_20_difference": 0,
"11_20_left": 0,
"11_20_entered": 0,
"11_20_unchanged": 229,
"21_100": 694,
"21_100_improved": 0,
"21_100_declined": 0,
"21_100_difference": 0,
"21_100_left": 0,
"21_100_entered": 0,
"21_100_unchanged": 694,
"top100": 1435,
"top100_improved": 0,
"top100_declined": 0,
"top100_difference": 0,
"top100_left": 0,
"top100_entered": 0,
"top100_unchanged": 1435,
"out": 63,
"out_improved": 0,
"out_declined": 0,
"out_difference": 0,
"out_left": 0,
"out_entered": 0,
"out_unchanged": 63
},
"server": "USA",
"exec_time": 2.705991
}
print(index_nested_dict(test_dict, ["data", "0", "Vi", "Diff"]))
打印 {'.mysite.com\/': 0}
这是一个很菜鸟的问题,请见谅。
谁能帮我深入了解嵌套字典。
我想知道如何访问字典“数据”(请参阅 link 中的数据)以便我可以对其进行分析。
非常感谢。
我正在使用 jupyter notbooks。
这是我目前拥有的:
import json
import pandas as pd
with open('./source/small_data_clean.json') as access_json:
read_content = json.load(access_json)
type(read_content)
data_access = read_content['data']
data_access
您必须继续访问每个级别的密钥:
例如:
data_access['data']
data_access['data']['0']
data_access['data']['0']['Pi']
你必须迭代访问字典中的元素,这里是一个工作示例;
# TODO: Access, "data" -> "0" -> "Vi" -> "Diff"
def index_nested_dict(dict: dict, keys: list):
for key in keys:
dict = dict[key]
return dict
test_dict = {
"total": 1498,
"state": "0",
"limit": 10,
"offset": 0,
"data": {
"0": {
"Pi": "18165592935938996736",
"Ph": "keyword 1",
"Kb": 20190326,
"Tg": {},
"Cp": "2.25",
"Nq": "260",
"Gs": "0",
"Dt": {
"20191225": {
"*.mysite.com\/*": 7
}
},
"Be": {
"*.mysite.com\/*": 7
},
"Fi": {
"*.mysite.com\/*": 7
},
"Diff": {
"*.mysite.com\/*": 0
},
"Diff1": {
"*.mysite.com\/*": 93
},
"Diff7": {
"*.mysite.com\/*": 93
},
"Diff30": {
"*.mysite.com\/*": 93
},
"Vi": {
"20191225": {
"*.mysite.com\/*": 0.0068999999999999999
},
"Diff": {
"*.mysite.com\/*": 0
}
},
"Sf": {
"20191225": [
"adt",
"rev",
"stl"
]
},
"Tr": {
"20191225": {
"*.mysite.com\/*": 0.32000000000000001
}
},
"Tc": {
"20191225": {
"*.mysite.com\/*": 0.73999999999999999
}
},
"Lu": {
"20191225": {
"*.mysite.com\/*": "https:\/\/www.mysite.com\/product.cfm?p=155"
}
},
"Lt": {
"20191225": {
"*.mysite.com\/*": [
"org"
]
}
}
},
"1": {
"Pi": "1090615528833642752",
"Ph": "keyword 2",
"Kb": 20190326,
"Tg": {},
"Cp": "0.81",
"Nq": "390",
"Gs": "0",
"Dt": {
"20191225": {
"*.mysite.com\/*": 3
}
},
"Be": {
"*.mysite.com\/*": 3
},
"Fi": {
"*.mysite.com\/*": 3
},
"Diff": {
"*.mysite.com\/*": 0
},
"Diff1": {
"*.mysite.com\/*": 97
},
"Diff7": {
"*.mysite.com\/*": 97
},
"Diff30": {
"*.mysite.com\/*": 97
},
"Vi": {
"20191225": {
"*.mysite.com\/*": 0.017399999999999999
},
"Diff": {
"*.mysite.com\/*": 0
}
},
"Sf": {
"20191225": [
"adb"
]
},
"Tr": {
"20191225": {
"*.mysite.com\/*": 1.23
}
},
"Tc": {
"20191225": {
"*.mysite.com\/*": 1
}
},
"Lu": {
"20191225": {
"*.mysite.com\/*": "https:\/\/www.mysite.com\/keyword2\/"
}
},
"Lt": {
"20191225": {
"*.mysite.com\/*": [
"org"
]
}
}
},
"2": {
"Pi": "13621862969727492608",
"Ph": "keyword 3",
"Kb": 20190326,
"Tg": {},
"Cp": "0.52",
"Nq": "210",
"Gs": "0",
"Dt": {
"20191225": {
"*.mysite.com\/*": 25
}
},
"Be": {
"*.mysite.com\/*": 25
},
"Fi": {
"*.mysite.com\/*": 25
},
"Diff": {
"*.mysite.com\/*": 0
},
"Diff1": {
"*.mysite.com\/*": 75
},
"Diff7": {
"*.mysite.com\/*": 75
},
"Diff30": {
"*.mysite.com\/*": 75
},
"Vi": {
"20191225": {
"*.mysite.com\/*": 0.0016000000000000001
},
"Diff": {
"*.mysite.com\/*": 0
}
},
"Sf": {
"20191225": [
"stl"
]
},
"Tr": {
"20191225": {
"*.mysite.com\/*": 0.059999999999999998
}
},
"Tc": {
"20191225": {
"*.mysite.com\/*": 0.029999999999999999
}
},
"Lu": {
"20191225": {
"*.mysite.com\/*": "https:\/\/www.mysite.com\/keyword3\/"
}
},
"Lt": {
"20191225": {
"*.mysite.com\/*": [
"org"
]
}
}
}
},
"Sfc": {
"org": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"geo": {
"Ex": 7,
"Ne": 1491,
"De": 0,
"Dn": 7
},
"amp": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"tea": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"new": {
"Ex": 4,
"Ne": 1494,
"De": 0,
"Dn": 4
},
"rel": {
"Ex": 56,
"Ne": 1442,
"De": 0,
"Dn": 56
},
"img": {
"Ex": 2,
"Ne": 1496,
"De": 0,
"Dn": 2
},
"adt": {
"Ex": 275,
"Ne": 1223,
"De": 82,
"Dn": 193
},
"shp": {
"Ex": 103,
"Ne": 1395,
"De": 0,
"Dn": 103
},
"knw": {
"Ex": 1,
"Ne": 1497,
"De": 0,
"Dn": 1
},
"twt": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"app": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"vib": {
"Ex": 0,
"Ne": 1498,
"De": 0,
"Dn": 0
},
"rev": {
"Ex": 1208,
"Ne": 290,
"De": 0,
"Dn": 1208
},
"vid": {
"Ex": 6,
"Ne": 1492,
"De": 0,
"Dn": 6
},
"fsn": {
"Ex": 67,
"Ne": 1431,
"De": 0,
"Dn": 67
},
"stl": {
"Ex": 911,
"Ne": 587,
"De": 69,
"Dn": 842
},
"adb": {
"Ex": 573,
"Ne": 925,
"De": 220,
"Dn": 353
},
"kng": {
"Ex": 32,
"Ne": 1466,
"De": 0,
"Dn": 32
}
},
"Vc": {
"0-10": 199,
"11 - 100": 36,
"101 - 1000": 1006,
"1001 - 10000": 204,
"10001+": 53
},
"Topc": {
"all": 1498,
"all_improved": 0,
"all_declined": 0,
"all_difference": 0,
"all_left": 0,
"all_entered": 0,
"all_unchanged": 1498,
"top3": 177,
"top3_improved": 0,
"top3_declined": 0,
"top3_difference": 0,
"top3_left": 0,
"top3_entered": 0,
"top3_unchanged": 177,
"top10": 512,
"top10_improved": 0,
"top10_declined": 0,
"top10_difference": 0,
"top10_left": 0,
"top10_entered": 0,
"top10_unchanged": 512,
"top20": 741,
"top20_improved": 0,
"top20_declined": 0,
"top20_difference": 0,
"top20_left": 0,
"top20_entered": 0,
"top20_unchanged": 741,
"4_10": 335,
"4_10_improved": 0,
"4_10_declined": 0,
"4_10_difference": 0,
"4_10_left": 0,
"4_10_entered": 0,
"4_10_unchanged": 335,
"11_20": 229,
"11_20_improved": 0,
"11_20_declined": 0,
"11_20_difference": 0,
"11_20_left": 0,
"11_20_entered": 0,
"11_20_unchanged": 229,
"21_100": 694,
"21_100_improved": 0,
"21_100_declined": 0,
"21_100_difference": 0,
"21_100_left": 0,
"21_100_entered": 0,
"21_100_unchanged": 694,
"top100": 1435,
"top100_improved": 0,
"top100_declined": 0,
"top100_difference": 0,
"top100_left": 0,
"top100_entered": 0,
"top100_unchanged": 1435,
"out": 63,
"out_improved": 0,
"out_declined": 0,
"out_difference": 0,
"out_left": 0,
"out_entered": 0,
"out_unchanged": 63
},
"server": "USA",
"exec_time": 2.705991
}
print(index_nested_dict(test_dict, ["data", "0", "Vi", "Diff"]))
打印 {'.mysite.com\/': 0}