一、操作前的数据结构

[
  [
    {
    
      "days": "2022-05-27",
      "count_num": 2
    },
    {
    
      "days": "2022-05-28",
      "count_num": 58
    },
    {
    
      "days": "2022-05-29",
      "count_num": 103
    },
    {
    
      "days": "2022-05-30",
      "count_num": 95
    },
    {
    
      "days": "2022-05-31",
      "count_num": 131
    },
    {
    
      "days": "2022-06-01",
      "count_num": 86
    },
    {
    
      "days": "2022-06-02",
      "count_num": 14
    },
    {
    
      "days": "2022-06-03",
      "count_num": 25
    },
    {
    
      "days": "2022-06-04",
      "count_num": 19
    },
    {
    
      "days": "2022-06-05",
      "count_num": 34
    },
    {
    
      "days": "2022-06-06",
      "count_num": 87
    },
    {
    
      "days": "2022-06-07",
      "count_num": 7989
    },
    {
    
      "days": "2022-06-08",
      "count_num": 5263
    },
    {
    
      "days": "2022-06-09",
      "count_num": 1289
    },
    {
    
      "days": "2022-06-10",
      "count_num": 1289
    },
    {
    
      "days": "2022-06-11",
      "count_num": 3045
    },
    {
    
      "days": "2022-06-12",
      "count_num": 1089
    },
    {
    
      "days": "2022-06-13",
      "count_num": 433
    },
    {
    
      "days": "2022-06-14",
      "count_num": 659
    },
    {
    
      "days": "2022-06-15",
      "count_num": 554
    },
    {
    
      "days": "2022-06-16",
      "count_num": 104
    },
    {
    
      "days": "2022-06-17",
      "count_num": 465
    },
    {
    
      "days": "2022-06-18",
      "count_num": 5540
    },
    {
    
      "days": "2022-06-19",
      "count_num": 19314
    },
    {
    
      "days": "2022-06-20",
      "count_num": 47145
    },
    {
    
      "days": "2022-06-21",
      "count_num": 8706
    },
    {
    
      "days": "2022-06-22",
      "count_num": 19822
    },
    {
    
      "days": "2022-06-23",
      "count_num": 11860
    },
    {
    
      "days": "2022-06-24",
      "count_num": 8197
    }
  ],
  [
    {
    
      "days": "2022-06-09",
      "count_num": 22
    },
    {
    
      "days": "2022-06-10",
      "count_num": 10
    },
    {
    
      "days": "2022-06-11",
      "count_num": 1
    },
    {
    
      "days": "2022-06-16",
      "count_num": 81
    },
    {
    
      "days": "2022-06-17",
      "count_num": 481
    },
    {
    
      "days": "2022-06-18",
      "count_num": 15820
    },
    {
    
      "days": "2022-06-19",
      "count_num": 27472
    },
    {
    
      "days": "2022-06-20",
      "count_num": 11882
    },
    {
    
      "days": "2022-06-21",
      "count_num": 12850
    },
    {
    
      "days": "2022-06-22",
      "count_num": 1695
    },
    {
    
      "days": "2022-06-23",
      "count_num": 3442
    },
    {
    
      "days": "2022-06-24",
      "count_num": 3932
    },
    {
    
      "days": "2022-06-25",
      "count_num": 2
    }
  ],
  [
    {
    
      "days": "2022-06-11",
      "count_num": 2
    },
    {
    
      "days": "2022-06-13",
      "count_num": 9
    },
    {
    
      "days": "2022-06-14",
      "count_num": 1
    },
    {
    
      "days": "2022-06-21",
      "count_num": 5
    },
    {
    
      "days": "2022-06-22",
      "count_num": 9
    }
  ],
  [
    {
    
      "days": "2022-06-27",
      "count_num": 1
    }
  ],
  [],
  [
    {
    
      "days": "2022-08-04",
      "count_num": 1
    }
  ],
  [],
  [],
  []
]

二、要处理成的样子

需要把相同日期的数据合并，如统计2022-06-01为一个数组累加他们的count_num

三、代码处理

// productData 为上方json转成php数组的数据结构

// 根据日期合并各种日期同时累加他们的调用次数总和
$allData = [];
foreach($productData as $key => $value){
    
    foreach($value as $k => $v){
    
        if(!isset($allData[$v['days']])){
    
            $allData[$v['days']] = $v;
        }else{
    
            $allData[$v['days']]['count_num'] += $v['count_num'];
        }
    }
}

四、处理后的数据展示

[
  {
    
    "days": "2022-05-27",
    "count_num": 2
  },
  {
    
    "days": "2022-05-28",
    "count_num": 58
  },
  {
    
    "days": "2022-05-29",
    "count_num": 103
  },
  {
    
    "days": "2022-05-30",
    "count_num": 95
  },
  {
    
    "days": "2022-05-31",
    "count_num": 131
  },
  {
    
    "days": "2022-06-01",
    "count_num": 86
  },
  {
    
    "days": "2022-06-02",
    "count_num": 14
  },
  {
    
    "days": "2022-06-03",
    "count_num": 25
  },
  {
    
    "days": "2022-06-04",
    "count_num": 19
  },
  {
    
    "days": "2022-06-05",
    "count_num": 34
  },
  {
    
    "days": "2022-06-06",
    "count_num": 87
  },
  {
    
    "days": "2022-06-07",
    "count_num": 7989
  },
  {
    
    "days": "2022-06-08",
    "count_num": 5263
  },
  {
    
    "days": "2022-06-09",
    "count_num": 1311
  },
  {
    
    "days": "2022-06-10",
    "count_num": 1299
  },
  {
    
    "days": "2022-06-11",
    "count_num": 3048
  },
  {
    
    "days": "2022-06-12",
    "count_num": 1089
  },
  {
    
    "days": "2022-06-13",
    "count_num": 442
  },
  {
    
    "days": "2022-06-14",
    "count_num": 660
  },
  {
    
    "days": "2022-06-15",
    "count_num": 554
  },
  {
    
    "days": "2022-06-16",
    "count_num": 185
  },
  {
    
    "days": "2022-06-17",
    "count_num": 946
  },
  {
    
    "days": "2022-06-18",
    "count_num": 21360
  },
  {
    
    "days": "2022-06-19",
    "count_num": 46786
  },
  {
    
    "days": "2022-06-20",
    "count_num": 59027
  },
  {
    
    "days": "2022-06-21",
    "count_num": 21561
  },
  {
    
    "days": "2022-06-22",
    "count_num": 21526
  },
  {
    
    "days": "2022-06-23",
    "count_num": 15302
  },
  {
    
    "days": "2022-06-24",
    "count_num": 12129
  },
  {
    
    "days": "2022-06-25",
    "count_num": 2
  },
  {
    
    "days": "2022-06-27",
    "count_num": 1
  },
  {
    
    "days": "2022-08-04",
    "count_num": 1
  }
]