在angularjs控制器中将pandas json转换为highstock数据格式

Question

我正在为如何将序列图从json转换为highstock数组格式而烦恼。

在我的代码中，请执行以下操作：

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

结果如下（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}]

然后我在我的angularjs控制器处以对象数组的形式获取该json，但我不知道如何将其转换为highstock格式，例如：

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

我该怎么做才能进行转换？

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}]

然后像这样的列表理解

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

给您所需的输出：

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

Answer 2

您可以使用Array.map（）方法重新格式化对象：

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>