我想按月对结果进行分组，准确地说是每个月的总价之和，但是我不知道如何划分月份，然后再划分每个月的总价。
对于这种莫里斯图，这是必需的
var serverManager = new ServerManager();
var site = serverManager.Sites["SiteName"];
var app = site.Applications["MyAppName"];
var config = app.GetWebConfiguration();
var section = config.GetSection("appSettings");
var element = section.GetChildElement("mySettingKey");
element.SetAttributeValue("value", "MyNewValue");
serverManager.CommitChanges();
我以前在查询之前使用它来获取结果，这是一种简单的方法，但是现在与代码不同了。
任何有关解释每个代码段如何工作的帮助都非常好，这样我以后就可以避免此类问题。
我需要这样的东西：
$data2[] = array(
'y' => $month,
'a' => price,
'b' => ''
);
这是一个代码：
$month = [May, June];
$price = [Sum of all prices for May, Sum of all prices for June];
这是我拥有的数组
$monthsArray = array();
// get all dates in array
foreach ($array as $key) {
// convert dates to short format, month-year -> Jun-18
$monthsArray[] = date('M-y', strtotime($key['time']));
}
$months = array();
foreach ($monthsArray as $date) {
$mon = substr($date, 0, 6);
if (!in_array($mon, $months)) array_push($months, $mon);
}
foreach ($months as $m) {
// final array for chart
$data2[] = array('y'=>$m, 'a'=>'', 'b'=>'');
}
$morris = json_encode($data2);
编辑：
正如您在更新的代码中看到的那样，我设法对月份进行分组，现在我只得到应有的2个结果，现在这只是每个月的数据总和的问题。
这就是我在控制台中得到的
Array
(
[0] => Array
(
[price] => -1835.25
[time] => 2018-05-29 16:53:38
)
[1] => Array
(
[price] => -1743.52
[time] => 2018-05-29 16:53:39
)
[2] => Array
(
[price] => -4445.55
[time] => 2018-05-31 13:21:04
)
[3] => Array
(
[price] => -34647.04
[time] => 2018-05-31 18:29:43
)
[4] => Array
(
[price] => 16888.41
[time] => 2018-06-01 15:05:24
)
[5] => Array
(
[price] => 14369.05
[time] => 2018-06-07 14:44:21
)
[6] => Array
(
[price] => -49579.69
[time] => 2018-06-11 09:14:42
)
[7] => Array
(
[price] => -33300.94
[time] => 2018-06-08 23:50:29
)
[8] => Array
(
[price] => 4413.21
[time] => 2018-06-12 07:15:52
)
[9] => Array
(
[price] => 2724.69
[time] => 2018-06-12 07:15:46
)
[10] => Array
(
[price] => 10224.03
[time] => 2018-06-08 14:00:13
)
[11] => Array
(
[price] => -797.92
[time] => 2018-06-08 13:54:08
)
[12] => Array
(
[price] => -25157.34
[time] => 2018-06-11 11:31:31
)
[13] => Array
(
[price] => 2701.6
[time] => 2018-06-11 14:32:08
)
[14] => Array
(
[price] => 2038.92
[time] => 2018-06-12 07:15:48
)
[15] => Array
(
[price] => -10541.58
[time] => 2018-06-15 10:35:58
)
)