将具有嵌套值的字段从JSON导出到CSV [英] Export fields with nested values from JSON to CSV
本文介绍了将具有嵌套值的字段从JSON导出到CSV的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我需要将一些JSON数据导入到我的数据库中.我想使用PowerShell并弄清楚一点，但是我需要帮助将最后的部分放在一起.
I need to import some JSON data am getting into my database. I'd like to use PowerShell and figured out a little, but I need help getting the final piece together.
这是我现有的PowerShell脚本.
Here is my existing PowerShell script.
(Get-Content $path -Raw | ConvertFrom-json) |
select -Expand data | select -Expand stations | Export-CSV
"C:\CitiBike\output.csv"
除了可以出租方法之外，它什么都可以做.我的问题是，如何获得带有车站ID的出租方式?
It does everything but get rental_methods out. My question is, how can I get rental methods out with the ID of the station?
这是我的JSON数据:
Here is my JSON data:
{
"last_updated":1475973127,
"ttl":10,
"data":{
"stations":[
{
"station_id":"72",
"name":"W 52 St & 11 Ave",
"short_name":"6926.01",
"lat":40.76727216,
"lon":-73.99392888,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":39,
"eightd_has_key_dispenser":false
},
{
"station_id":"79",
"name":"Franklin St & W Broadway",
"short_name":"5430.08",
"lat":40.71911552,
"lon":-74.00666661,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":33,
"eightd_has_key_dispenser":false
},
{
"station_id":"82",
"name":"St James Pl & Pearl St",
"short_name":"5167.06",
"lat":40.71117416,
"lon":-74.00016545,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":27,
"eightd_has_key_dispenser":false
},
{
"station_id":"83",
"name":"Atlantic Ave & Fort Greene Pl",
"short_name":"4354.07",
"lat":40.68382604,
"lon":-73.97632328,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":62,
"eightd_has_key_dispenser":false
},
{
"station_id":"116",
"name":"W 17 St & 8 Ave",
"short_name":"6148.02",
"lat":40.74177603,
"lon":-74.00149746,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":39,
"eightd_has_key_dispenser":false
},
{
"station_id":"119",
"name":"Park Ave & St Edwards St",
"short_name":"4700.06",
"lat":40.69608941,
"lon":-73.97803415,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":19,
"eightd_has_key_dispenser":false
},
{
"station_id":"120",
"name":"Lexington Ave & Classon Ave",
"short_name":"4452.03",
"lat":40.68676793,
"lon":-73.95928168,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":19,
"eightd_has_key_dispenser":false
},
{
"station_id":"127",
"name":"Barrow St & Hudson St",
"short_name":"5805.05",
"lat":40.73172428,
"lon":-74.00674436,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":31,
"eightd_has_key_dispenser":false
},
{
"station_id":"128",
"name":"MacDougal St & Prince St",
"short_name":"5687.04",
"lat":40.72710258,
"lon":-74.00297088,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":30,
"eightd_has_key_dispenser":false
},
{
"station_id":"137",
"name":"E 56 St & Madison Ave",
"short_name":"6771.02",
"lat":40.761628,
"lon":-73.972924,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":46,
"eightd_has_key_dispenser":false
},
{
"station_id":"143",
"name":"Clinton St & Joralemon St",
"short_name":"4605.04",
"lat":40.69239502,
"lon":-73.99337909,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":24,
"eightd_has_key_dispenser":false
},
{
"station_id":"144",
"name":"Nassau St & Navy St",
"short_name":"4812.02",
"lat":40.69839895,
"lon":-73.98068914,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":19,
"eightd_has_key_dispenser":false
},
{
"station_id":"146",
"name":"Hudson St & Reade St",
"short_name":"5359.10",
"lat":40.71625008,
"lon":-74.0091059,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":39,
"eightd_has_key_dispenser":false
},
{
"station_id":"147",
"name":"Greenwich St & Warren St",
"short_name":"5329.01",
"lat":40.71542197,
"lon":-74.01121978,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":33,
"eightd_has_key_dispenser":false
},
{
"station_id":"150",
"name":"E 2 St & Avenue C",
"short_name":"5476.03",
"lat":40.7208736,
"lon":-73.98085795,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":31,
"eightd_has_key_dispenser":false
},
{
"station_id":"151",
"name":"Cleveland Pl & Spring St",
"short_name":"5492.05",
"lat":40.722103786686034,
"lon":-73.99724900722504,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":33,
"eightd_has_key_dispenser":false
},
{
"station_id":"152",
"name":"Warren St & Church St",
"short_name":"5288.09",
"lat":40.71473993,
"lon":-74.00910627,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":29,
"eightd_has_key_dispenser":false
},
{
"station_id":"153",
"name":"E 40 St & 5 Ave",
"short_name":"6474.11",
"lat":40.752062307,
"lon":-73.9816324043,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":55,
"eightd_has_key_dispenser":false
},
{
"station_id":"157",
"name":"Henry St & Atlantic Ave",
"short_name":"4531.05",
"lat":40.69089272,
"lon":-73.99612349,
"region_id":71,
"rental_methods":[
"KEY",
"CREDITCARD"
],
"capacity":23,
"eightd_has_key_dispenser":false
}
]
}
}
推荐答案
CSV字段必须为平面值，而不是嵌套的对象或数组. 将元素连接成字符串:
CSV fields must be flat values, not nested objects or arrays. Join the elements into a string:
Get-Content r:\1.json -Raw |
ConvertFrom-Json |
Select -Expand data |
Select -Expand stations |
ForEach {
$_.rental_methods = $_.rental_methods -join ' '
$_
} |
Export-Csv r:\1.csv -NoTypeInformation
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