在angularjs控制器中將pandas json轉換爲highstock數據格式

Question

我正在爲如何從一個json轉換爲一個Series圖表的highstock數組格式而煩惱。

在我的代碼做如下：

df2.reset_index().to_json(orient='records') 

這導致這個（例如）：

[{"date":1456185600000,"adj_close":94.69}, 
{"date":1456099200000,"adj_close":96.88}, 
{"date":1455840000000,"adj_close":96.04}, 
{"date":1455753600000,"adj_close":96.26}] 

然後我得到的JSON在我的angularjs控制器作爲對象的陣列，我不知道如何變換到highstock格式，此例如：

[ 
[1456185600000, 94.69], 
[1456099200000, 96.88], 
[1455840000000, 96.04], 
[1455753600000, 96.26], 
] 

什麼SH我應該做這個轉換嗎？

Answer 1

d = [{"date":1456185600000,"adj_close":94.69}, 
{"date":1456099200000,"adj_close":96.88}, 
{"date":1455840000000,"adj_close":96.04}, 
{"date":1455753600000,"adj_close":96.26}] 

然後像這樣

[[di['date'], di['adj_close']] for di in d] 

列表理解爲您提供了所需的輸出：

[[1456185600000, 94.69], 
[1456099200000, 96.88], 
[1455840000000, 96.04], 
[1455753600000, 96.26]] 

Answer 2

您可以使用Array.map（）方法來格式化對象：

https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/map

var objectArray = [ 
 
    {"date":1456185600000,"adj_close":94.69}, 
 
    {"date":1456099200000,"adj_close":96.88}, 
 
    {"date":1455840000000,"adj_close":96.04}, 
 
    {"date":1455753600000,"adj_close":96.26}] 
 

 
var highStockSeries = objectArray.map(function(object){ 
 
    return [object.date, object.adj_close] 
 
}) 
 

 
console.log(highStockSeries)

<div id="result">look in the JS console for your array</div>