Question

我有以下JSON输出，如何以格式化表格格式从python代码中获取 clientHostname，clientId，completionTime，creationTime，status，retentionTime，fileCount 值。

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[{'attributes': [{'key': '*anchor save set time', 'values': ['158']}, {'key': '*backup start time', 'values': ['158790']}, {'key': '*policy action name', 'values': ['Server db backup: 158790']}, {'key': '*policy name', 'values': ['Server Protection: 158860']}, {'key': '*policy protection period', 'values': ['0: 1580']}, {'key': '*policy workflow name', 'values': ['Server backup: 15860']}, {'key': '*ss clone retention', 'values': [' 158760: 150: 186']}, {'key': 'group', 'values': ['Server Protection']}, {'key': 'saveset features', 'values': ['CLIENT_SAVETIME']}], 'browseTime': '2020-05-19T10:01:00+08:00', 'clientHostname': 'server.com', 'clientId': '52d79c1', 'completionTime': '2020-04-27T10:01:00+08:00', 'creationTime': '2020-04-21T10:01:00+08:00', 'fileCount': 2, 'id': '2b2d925f9c1', 'instances': [{'clone': False, 'id': '1587952860', 'status': 'Recoverable', 'volumeIds': ['444']}], 'level': '1', 'links': [{'href': 'https://server.com/backups/2b4c1', 'rel': 'item'}], 'name': 'index:b9c9dc1', 'retentionTime': '2020-05-18T23:59:59+08:00', 'saveTime': '2020-04-27T10:01:00+08:00', 'shortId': '1151745244', 'size': {'unit': 'Byte', 'value': 408}, 'type': 'File'}, {'attributes': [{'key': '*anchor save set time', 'values': ['1585706503']}, {'key': '*backup start time', 'values': ['1587952855']}, {'key': '*policy action name', 'values': ['Server db backup: 15855']}, {'key': '*policy name', 'values': ['Server Protection: 158795']}, {'key': '*policy protection period', 'values': ['0: 1585']}, {'key': '*policy workflow name', 'values': ['Server backup: 1587855']}, {'key': '*ss clone retention', 'values': [' 158755: 1587952855: 186']}, {'key': 'group', 'values': ['Server Protection']}, {'key': 'saveset features', 'values': ['CLIENT_SAVETIME']}], 'browseTime': '2020-05-18T10:00:55+08:00', 'clientHostname': 'server.com', 'clientId': '52d7ae9c1', 'completionTime': '2020-04-27T10:00:55+08:00', 'creationTime': '2020-04-27T10:00:55+08:00', 'fileCount': 2, 'id': '0b8ae9c1', 'instances': [{'clone': False, 'id': '1', 'status': 'Recoverable', 'volumeIds': ['446929344']}], 'level': '1', 'links': [{'href': 'https://server.com/backups/0b8a', 'rel': 'item'}], 'name': 'index:ec3df9c1', 'retentionTime': '2020-05-18T23:59:59+08:00', 'saveTime': '2020-04-27T10:00:55+08:00', 'shortId': '1168522455', 'size': {'unit': 'Byte', 'value': 408}, 'type': 'File'}]

Answer 1

您可以这样做（首先将json数据加载到数据帧中）：

`import pandas as pd`
`df = pd.DataFrame.from_records(x)`
`df[['clientHostname', 'clientId', 'completionTime', 'creationTime', 'retentionTime', 'fileCount']]`

这里x是您提供的json数据。

Answer 2

尝试一下：

from pandas.io.json import json_normalize
import ast

js = [{'attributes': [{'key': '*anchor save set time', 'values': ['158']}, {'key': '*backup start time', 'values': ['158790']}, {'key': '*policy action name', 'values': ['Server db backup: 158790']}, {'key': '*policy name', 'values': ['Server Protection: 158860']}, {'key': '*policy protection period', 'values': ['0: 1580']}, {'key': '*policy workflow name', 'values': ['Server backup: 15860']}, {'key': '*ss clone retention', 'values': ['   158760:      150:   186']}, {'key': 'group', 'values': ['Server Protection']}, {'key': 'saveset features', 'values': ['CLIENT_SAVETIME']}], 'browseTime': '2020-05-19T10:01:00+08:00', 'clientHostname': 'server.com', 'clientId': '52d79c1', 'completionTime': '2020-04-27T10:01:00+08:00', 'creationTime': '2020-04-21T10:01:00+08:00', 'fileCount': 2, 'id': '2b2d925f9c1', 'instances': [{'clone': False, 'id': '1587952860', 'status': 'Recoverable', 'volumeIds': ['444']}], 'level': '1', 'links': [{'href': 'https://server.com/backups/2b4c1', 'rel': 'item'}], 'name': 'index:b9c9dc1', 'retentionTime': '2020-05-18T23:59:59+08:00', 'saveTime': '2020-04-27T10:01:00+08:00', 'shortId': '1151745244', 'size': {'unit': 'Byte', 'value': 408}, 'type': 'File'}, {'attributes': [{'key': '*anchor save set time', 'values': ['1585706503']}, {'key': '*backup start time', 'values': ['1587952855']}, {'key': '*policy action name', 'values': ['Server db backup: 15855']}, {'key': '*policy name', 'values': ['Server Protection: 158795']}, {'key': '*policy protection period', 'values': ['0: 1585']}, {'key': '*policy workflow name', 'values': ['Server backup: 1587855']}, {'key': '*ss clone retention', 'values': ['          158755:     1587952855:   186']}, {'key': 'group', 'values': ['Server Protection']}, {'key': 'saveset features', 'values': ['CLIENT_SAVETIME']}], 'browseTime': '2020-05-18T10:00:55+08:00', 'clientHostname': 'server.com', 'clientId': '52d7ae9c1', 'completionTime': '2020-04-27T10:00:55+08:00', 'creationTime': '2020-04-27T10:00:55+08:00', 'fileCount': 2, 'id': '0b8ae9c1', 'instances': [{'clone': False, 'id': '1', 'status': 'Recoverable', 'volumeIds': ['446929344']}], 'level': '1', 'links': [{'href': 'https://server.com/backups/0b8a', 'rel': 'item'}], 'name': 'index:ec3df9c1', 'retentionTime': '2020-05-18T23:59:59+08:00', 'saveTime': '2020-04-27T10:00:55+08:00', 'shortId': '1168522455', 'size': {'unit': 'Byte', 'value': 408}, 'type': 'File'}]

df = json_normalize(js)
df[['clone','id','status','volumeIds']] = df.instances.apply(lambda x: pd.Series(ast.literal_eval(str(x[0]))))

df：

attributes  browseTime  clientHostname  clientId    completionTime  creationTime    fileCount   id  instances   level   ... name    retentionTime   saveTime    shortId type    size.unit   size.value  clone   status  volumeIds
0   [{'key': '*anchor save set time', 'values': ['...   2020-05-19T10:01:00+08:00   server.com  52d79c1 2020-04-27T10:01:00+08:00   2020-04-21T10:01:00+08:00   2   1587952860  [{'clone': False, 'id': '1587952860', 'status'...   1   ... index:b9c9dc1   2020-05-18T23:59:59+08:00   2020-04-27T10:01:00+08:00   1151745244  File    Byte    408 False   Recoverable [444]
1   [{'key': '*anchor save set time', 'values': ['...   2020-05-18T10:00:55+08:00   server.com  52d7ae9c1   2020-04-27T10:00:55+08:00   2020-04-27T10:00:55+08:00   2   1   [{'clone': False, 'id': '1', 'status': 'Recove...   1   ... index:ec3df9c1  2020-05-18T23:59:59+08:00   2020-04-27T10:00:55+08:00   1168522455  File    Byte    408 False   Recoverable [446929344]

df[['clientHostname','clientId','completionTime','creationTime','status','retentionTime','fileCount']]

clientHostname  clientId    completionTime              creationTime                status     retentionTime                fileCount
0   server.com  52d79c1     2020-04-27T10:01:00+08:00   2020-04-21T10:01:00+08:00   Recoverable 2020-05-18T23:59:59+08:00   2
1   server.com  52d7ae9c1   2020-04-27T10:00:55+08:00   2020-04-27T10:00:55+08:00   Recoverable 2020-05-18T23:59:59+08:00   2

从JSON输出中获取值|蟒蛇

2 个答案: