Python 使用JSON键创建数据帧
我有一个来自YouTube的iframe API的JSON文件,我想把这个JSON数据放到一个pandas数据框中,其中每个JSON键都是一列,每个记录都应该是一个新行 通常我会使用一个循环并迭代JSON的行,但这个特定的JSON如下所示:Python 使用JSON键创建数据帧,python,json,pandas,Python,Json,Pandas,我有一个来自YouTube的iframe API的JSON文件,我想把这个JSON数据放到一个pandas数据框中,其中每个JSON键都是一列,每个记录都应该是一个新行 通常我会使用一个循环并迭代JSON的行,但这个特定的JSON如下所示: [ "{\"timemillis\":1563467467703,\"date\":\"18.7.2019\",\"time\":\"18:31:07,703\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\
[
"{\"timemillis\":1563467467703,\"date\":\"18.7.2019\",\"time\":\"18:31:07,703\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:02\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.3,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}",
"{\"timemillis\":1563467468705,\"date\":\"18.7.2019\",\"time\":\"18:31:08,705\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:03\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.5,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}"
]
在这个JSON中,并不是每一个键都写为新行。在这种情况下,如何提取键并将它们表示为列 Python解决方案是使用Python字典的键和值API 应该是这样的:
ls = [
"{\"timemillis\":1563467467703,\"date\":\"18.7.2019\",\"time\":\"18:31:07,703\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:02\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.3,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}",
"{\"timemillis\":1563467468705,\"date\":\"18.7.2019\",\"time\":\"18:31:08,705\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:03\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.5,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}"
]
ls = [json.loads(j) for j in ls]
keys = [j.keys() for j in ls] # this will get you all the keys
vals = [j.values() for j in ls] # this will get the values and then you can do something with it
print(keys)
print(values)
Pythonic解决方案是使用Python字典的键和值API 应该是这样的:
ls = [
"{\"timemillis\":1563467467703,\"date\":\"18.7.2019\",\"time\":\"18:31:07,703\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:02\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.3,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}",
"{\"timemillis\":1563467468705,\"date\":\"18.7.2019\",\"time\":\"18:31:08,705\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:03\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.5,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}"
]
ls = [json.loads(j) for j in ls]
keys = [j.keys() for j in ls] # this will get you all the keys
vals = [j.values() for j in ls] # this will get the values and then you can do something with it
print(keys)
print(values)
我认为您要求分解键和值,并希望键作为列,值作为行:
这是我的方法,plz始终提供您的预期输出 ChainMap将dict的键和值平铺在一起,几乎是不言自明的
data = ["{\"timemillis\":1563467467703,\"date\":\"18.7.2019\",\"time\":\"18:31:07,703\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:02\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.3,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}","{\"timemillis\":1563467468705,\"date\":\"18.7.2019\",\"time\":\"18:31:08,705\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:03\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.5,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}"]
import json
from collections import ChainMap
data = [json.loads(i) for i in data]
data = dict(ChainMap(*data))
keys = []
vals = []
for k,v in data.items():
keys.append(k)
vals.append(v)
data = pd.DataFrame(zip(keys,vals)).T
new_header = data.iloc[0]
data = data[1:]
data.columns = new_header
#startSecond playbackRates playbackRate qual totalTimeFormatted timemillis playerStateNumeric playerStateVerbose playerErrorNumeric date time stopSecond bufferLevelPercent playerErrorVerbose qualLevels videoId curTimeFormatted playoutLevelPercent
#0 [0.25, 0.5, 0.75, 1, 1.25, 1.5, 1.75, 2] 1 large 9:46 1563467467703 1 Playing 18.7.2019 18:31:07,703 90 1.4 [hd720, large, medium, small, tiny, auto] 0HJx2JhQKQk 0:02 0.3
我认为您要求分解键和值,并希望键作为列,值作为行:
这是我的方法,plz始终提供您的预期输出 ChainMap将dict的键和值平铺在一起,几乎是不言自明的
data = ["{\"timemillis\":1563467467703,\"date\":\"18.7.2019\",\"time\":\"18:31:07,703\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:02\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.3,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}","{\"timemillis\":1563467468705,\"date\":\"18.7.2019\",\"time\":\"18:31:08,705\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:03\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.5,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}"]
import json
from collections import ChainMap
data = [json.loads(i) for i in data]
data = dict(ChainMap(*data))
keys = []
vals = []
for k,v in data.items():
keys.append(k)
vals.append(v)
data = pd.DataFrame(zip(keys,vals)).T
new_header = data.iloc[0]
data = data[1:]
data.columns = new_header
#startSecond playbackRates playbackRate qual totalTimeFormatted timemillis playerStateNumeric playerStateVerbose playerErrorNumeric date time stopSecond bufferLevelPercent playerErrorVerbose qualLevels videoId curTimeFormatted playoutLevelPercent
#0 [0.25, 0.5, 0.75, 1, 1.25, 1.5, 1.75, 2] 1 large 9:46 1563467467703 1 Playing 18.7.2019 18:31:07,703 90 1.4 [hd720, large, medium, small, tiny, auto] 0HJx2JhQKQk 0:02 0.3
最简单的方法是利用
json\u从pandas
标准化
import json
from pandas.io.json import json_normalize
input_dict = [
"{\"timemillis\":1563467467703,\"date\":\"18.7.2019\",\"time\":\"18:31:07,703\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:02\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.3,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}",
"{\"timemillis\":1563467468705,\"date\":\"18.7.2019\",\"time\":\"18:31:08,705\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:03\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.5,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}"
]
input_json = [json.loads(j) for j in input_dict]
df = json_normalize(input_json)
最简单的方法是利用json\u从pandas
标准化
import json
from pandas.io.json import json_normalize
input_dict = [
"{\"timemillis\":1563467467703,\"date\":\"18.7.2019\",\"time\":\"18:31:07,703\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:02\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.3,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}",
"{\"timemillis\":1563467468705,\"date\":\"18.7.2019\",\"time\":\"18:31:08,705\",\"videoId\":\"0HJx2JhQKQk\",\"startSecond\":\"0\",\"stopSecond\":\"90\",\"playerStateNumeric\":1,\"playerStateVerbose\":\"Playing\",\"curTimeFormatted\":\"0:03\",\"totalTimeFormatted\":\"9:46\",\"playoutLevelPercent\":0.5,\"bufferLevelPercent\":1.4,\"qual\":\"large\",\"qualLevels\":[\"hd720\",\"large\",\"medium\",\"small\",\"tiny\",\"auto\"],\"playbackRate\":1,\"playbackRates\":[0.25,0.5,0.75,1,1.25,1.5,1.75,2],\"playerErrorNumeric\":\"\",\"playerErrorVerbose\":\"\"}"
]
input_json = [json.loads(j) for j in input_dict]
df = json_normalize(input_json)