我有一个这样的数组:
[0] => Array
(
[id_station] => 2397
[hour] => 12
[data] => Array
(
[cameraon] => 355654
[cameraoff] => 4532
[camerabroken] => 76745
...
)
)
[1] => Array
(
[id_station] => 2399
[hour] => 13
[data] => Array
(
[cameraon] => 3905466
[cameraoff] => 1672
[camerabroken] => 70780
...
)
)
我想再添加一行=所有项目的总数
[1] => Array
(
[id_station] =>
[hour] =>
[data] => Array
(
[cameraon] => 4261120
[cameraoff] => 6204
[camerabroken] => 147525
)
)
我使用了array_sum(array_column($array["data], 'cameraon'))
,但我必须为所有项目cameraon
,cameraoff
,camerabroken
(我有一百个项目)。
在这种情况下,有没有办法获得总排?
答案 0 :(得分:0)
我假设你不知道data
子阵列的深度。 (这就是有多少个键值对)
如下所示: -
$final_array = [];
$final_array['id_station'] ='';
$final_array['hour'] ='';
foreach($original_array as $original_arr){
foreach($original_arr['data'] as $key=>$original){
$final_array['data'][$key] +=$original;
}
}
输出: - https://eval.in/926729
答案 1 :(得分:0)
您希望对列式数据求和,因此利用array_sum()
和array_column()
是明智的选择。剩下要做的就是设置循环。
您可以先使用data
隔离array_column()
子阵列,然后“向下钻取”到第一个子阵列中以迭代每列。使用列名称可以访问所有列中的所有值。无论data
子阵列的复杂程度如何,这都会使该方法动态成功。
代码:(Demo)
$array=[
[
'id_station'=>2397,
'hour'=>12,
'data'=>['cameraon'=>355654,'cameraoff'=>4532,'camerabroken'=>76745]
],
[
'id_station'=>2399,
'hour'=>14,
'data'=>['cameraon'=>3905466,'cameraoff'=>1672,'camerabroken'=>70780]
]
];
$datas=array_column($array,'data'); // isolate the data subarrays
foreach(current($datas) as $column=>$data){ // iterate the columns
$result[$column]=array_sum(array_column($datas,$column)); // sum the column values
}
$array[]=['id_station'=>'','hour'=>'','data'=>$result]; // completenew item and append
var_export($array); // print to screen
输出:
array (
0 =>
array (
'id_station' => 2397,
'hour' => 12,
'data' =>
array (
'cameraon' => 355654,
'cameraoff' => 4532,
'camerabroken' => 76745,
),
),
1 =>
array (
'id_station' => 2399,
'hour' => 14,
'data' =>
array (
'cameraon' => 3905466,
'cameraoff' => 1672,
'camerabroken' => 70780,
),
),
2 =>
array (
'id_station' => '',
'hour' => '',
'data' =>
array (
'cameraon' => 4261120,
'cameraoff' => 6204,
'camerabroken' => 147525,
),
),
)