1. 比如:2016-08 -> 2019.04
function month_io($y1,$m1,$y2,$m2){ // (2016,08,2019,04)
//1. 补全 start年的月数
if( $m1 !=12 ){
for( $i=$m1;$i<=12;$i++ ){
$res[]['y_m'] = $y1 . '-' . $i;
}
}
unset($i);
//2. 始末年份的差值
if( ($y1+1)!=$y2 ){
for( $i=$y1+1;$i<$y2;$i++ ){
for($j=1;$j<=12;$j++){
$res[]['y_m'] = $i . '-' . $j;
}
}
}
unset($i);
unset($j);
//3. 今年的月份
for($i=1;$i<=$m2;$i++){
$res[]['y_m'] = $y2 . '-' . $i;
}
//4. 遍历这个array,存入戳
foreach ($res as $k=>$v){
$res[$k]['month_start_io'] = strtotime($v['y_m']);
$mm = date('m',strtotime($v['y_m']));
$dd = date('t',strtotime($v['y_m']));
$yy = date('Y',strtotime($v['y_m']));
$res[$k]['month_end_io'] = mktime(23, 59, 59,$mm,$dd,$yy);
}
return $res;
}
2. 结果:
Array
(
[0] => Array
(
[y_m] => 2017-8
[month_start_io] => 1501516800
[month_end_io] => 1504195199
)
[1] => Array
(
[y_m] => 2017-9
[month_start_io] => 1504195200
[month_end_io] => 1506787199
)
[2] => Array
(
[y_m] => 2017-10
[month_start_io] => 1506787200
[month_end_io] => 1509465599
)
[3] => Array
(
[y_m] => 2017-11
[month_start_io] => 1509465600
[month_end_io] => 1512057599
)
[4] => Array
(
[y_m] => 2017-12
[month_start_io] => 1512057600
[month_end_io] => 1514735999
)
[5] => Array
(
[y_m] => 2018-1
[month_start_io] => 1514736000
[month_end_io] => 1517414399
)
[6] => Array
(
[y_m] => 2018-2
[month_start_io] => 1517414400
[month_end_io] => 1519833599
)
[7] => Array
(
[y_m] => 2018-3
[month_start_io] => 1519833600
[month_end_io] => 1522511999
)
[8] => Array
(
[y_m] => 2018-4
[month_start_io] => 1522512000
[month_end_io] => 1525103999
)
[9] => Array
(
[y_m] => 2018-5
[month_start_io] => 1525104000
[month_end_io] => 1527782399
)
[10] => Array
(
[y_m] => 2018-6
[month_start_io] => 1527782400
[month_end_io] => 1530374399
)
[11] => Array
(
[y_m] => 2018-7
[month_start_io] => 1530374400
[month_end_io] => 1533052799
)
[12] => Array
(
[y_m] => 2018-8
[month_start_io] => 1533052800
[month_end_io] => 1535731199
)
[13] => Array
(
[y_m] => 2018-9
[month_start_io] => 1535731200
[month_end_io] => 1538323199
)
[14] => Array
(
[y_m] => 2018-10
[month_start_io] => 1538323200
[month_end_io] => 1541001599
)
[15] => Array
(
[y_m] => 2018-11
[month_start_io] => 1541001600
[month_end_io] => 1543593599
)
[16] => Array
(
[y_m] => 2018-12
[month_start_io] => 1543593600
[month_end_io] => 1546271999
)
[17] => Array
(
[y_m] => 2019-1
[month_start_io] => 1546272000
[month_end_io] => 1548950399
)
[18] => Array
(
[y_m] => 2019-2
[month_start_io] => 1548950400
[month_end_io] => 1551369599
)
[19] => Array
(
[y_m] => 2019-3
[month_start_io] => 1551369600
[month_end_io] => 1554047999
)
[20] => Array
(
[y_m] => 2019-4
[month_start_io] => 1554048000
[month_end_io] => 1556639999
)
[21] => Array
(
[y_m] => 2019-5
[month_start_io] => 1556640000
[month_end_io] => 1559318399
)
)
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