重建PHP数组以正确地将数据拟合到html表中

I'm trying to display data that shows the count for each month for locations in Jan-December.

I wrote the query to get the necessary data from the server but when I display it in the view in my table the layout for the data, doesn't look the way I want it to look like in my table. I believe I have to reconstruct the array that I wrote in the query for the right format first and then I can display it in my table?

Right now, the data that comes back from the server looks like so

<table id="registeredTable" class="table table-striped table-bordered table-hover">
<thead>
    <tr>
        <th>Locations</th>
        <th>January</th>
        <th>Feburary</th>
        <th>March</th>
        <th>April</th>
        <th>May</th>
        <th>June</th>
        <th>July</th>
        <th>August</th>
        <th>September</th>
        <th>October</th>
        <th>November</th>
        <th>December</th>
    </tr>
</thead>
<tbody>
    <?php
      foreach($selectAllmonthlylocations as $item) {
        echo '
    <tr>
      <td>'.$item["locations"].'</td>
      <td>'.$item["Total"].'</td>
    </tr>
        ';
  }
    ?>
</tbody>
</table>

So my question is how can I format my array properly to display it in my table how I want?

Array
(
    [0] => Array
        (
            [usergroup] => Austin_Domestic
            [DateAdded] => 2018-01-03
            [Total] => 15
        )

    [1] => Array
        (
            [usergroup] => Austin_International
            [DateAdded] => 2018-01-25
            [Total] => 2
        )

    [2] => Array
        (
            [usergroup] => BayArea_Domestic
            [DateAdded] => 2018-01-16
            [Total] => 192
        )

    [3] => Array
        (
            [usergroup] => BayArea_International
            [DateAdded] => 2018-01-05
            [Total] => 28
        )

    [4] => Array
        (
            [usergroup] => Bengaluru_Domestic
            [DateAdded] => 2018-01-10
            [Total] => 2
        )

    [5] => Array
        (
            [usergroup] => Bengaluru_International
            [DateAdded] => 2018-01-05
            [Total] => 1
        )

    [6] => Array
        (
            [usergroup] => Cork
            [DateAdded] => 2018-01-02
            [Total] => 31
        )

    [7] => Array
        (
            [usergroup] => CulverCity
            [DateAdded] => 2018-01-10
            [Total] => 3
        )

    [8] => Array
        (
            [usergroup] => Denver
            [DateAdded] => 2018-01-10
            [Total] => 1
        )

    [9] => Array
        (
            [usergroup] => Hyderabad
            [DateAdded] => 2018-01-05
            [Total] => 3
        )

    [10] => Array
        (
            [usergroup] => London
            [DateAdded] => 2018-01-02
            [Total] => 10
        )

    [11] => Array
        (
            [usergroup] => Macau
            [DateAdded] => 2018-01-17
            [Total] => 1
        )

    [12] => Array
        (
            [usergroup] => Munich
            [DateAdded] => 2018-01-02
            [Total] => 6
        )

    [13] => Array
        (
            [usergroup] => Sacramento_Domestic
            [DateAdded] => 2018-01-04
            [Total] => 1
        )

    [14] => Array
        (
            [usergroup] => Shanghai
            [DateAdded] => 2018-01-12
            [Total] => 2
        )

    [15] => Array
        (
            [usergroup] => Singapore
            [DateAdded] => 2018-01-03
            [Total] => 8
        )

    [16] => Array
        (
            [usergroup] => Sydney
            [DateAdded] => 2018-01-21
            [Total] => 1
        )

    [17] => Array
        (
            [usergroup] => Tokyo
            [DateAdded] => 2018-01-04
            [Total] => 3
        )

    [18] => Array
        (
            [usergroup] => Austin_Domestic
            [DateAdded] => 2018-02-01
            [Total] => 31
        )

    [19] => Array
        (
            [usergroup] => Austin_International
            [DateAdded] => 2018-02-19
            [Total] => 2
        )

    [20] => Array
        (
            [usergroup] => Bangkok
            [DateAdded] => 2018-02-07
            [Total] => 1
        )

    [21] => Array
        (
            [usergroup] => BayArea_Domestic
            [DateAdded] => 2018-02-08
            [Total] => 165
        )

    [22] => Array
        (
            [usergroup] => BayArea_International
            [DateAdded] => 2018-02-12
            [Total] => 29
        )

Here is my code:

$selectallmonthlysql = 'SELECT locations, DateAdded, COUNT(*) as Total
                    FROM testserverdataSignup
                    WHERE DateAdded > "2017-12-31"
                    GROUP BY month(DateAdded), locations';

    $selectAllmonthlystmt = $dbo->prepare($selectallmonthlysql);

    $selectAllmonthlystmt->execute();

    $selectAllmonthlylocations = $selectAllmonthlystmt->fetchAll(PDO::FETCH_ASSOC);

Screenshot of what the table currently looks like: I want the individual count for each location to correlate to the month and go across instead of down

enter image description here

</div>

First change your query

$selectallmonthlysql = '
SELECT
    locations,
    MONTHNAME(DateAdded) AS month,
    COUNT(*) AS total
FROM    
    testserverdataSignup
WHERE
    DateAdded > "2017-12-31"
GROUP BY month(DateAdded),locations';

I lowercased Total to total, its something that was irritating me.

With PDO then you can do

$results = $selectAllmonthlystmt->fetchAll(PDO::FETCH_GROUP);
foreach($results AS $location => $row ){

FETCH_GROUP is poorly documented but this will organize your data with the first column as the Key of the nested array, in this case the location, which is exactly what we want. One of the reasons I use PDO instead of that other DB library I won't mention by name but it starts with MySql and ends with i.

MONTHNAME (click for documentation) will return the full name of the month like "February" which although is not necessary (just a number would do) its much easier to read when outputting the array for debugging.

You'll wind up with something like this

//canned example data, notice one month is out of order and the big gap
// between February to October, this is to show it properly orders and
//fills those in. Always best to test this situations.
$result = array(
   "Austin_Domestic" => array(

       0 => Array(
            "month" => "February",
            "total" => 5
        ),
       1 => Array(
            "month" => "January",
            "total" => 15
        ),
        2 => Array(
            "month" => "October",
            "total" => 8
        ),

    ),
);
//$results = $selectAllmonthlystmt->fetchAll(PDO::FETCH_GROUP);

//then putting it all together

//we'll need the months in an array anyway so we can saves some space with them in the HTML  too.
$months = array(    
    "January",
    "February",
    "March",
    "April",
    "May",
    "June",
    "July",
    "August",
    "September",
    "October",
    "November",
    "December"
)

?>

<table id="registeredTable" class="table table-striped table-bordered table-hover">
<thead>
    <tr>
        <th>Locations</th>
        <?php foreach($months as $month){
             //Output the names of the months
             echo "<th>{$month}</th>
";
        } ?>
        </tr>
    </thead>
    <tbody>
    <?php 
        foreach( $result as $location => $rows ){
             echo "<tr>
";
             echo "<td>{$location}</td>
";
            //simplifies lookup by month (indexes are correlated)
            //it returns column 'month' from $rows as a flat array.
            //we can save ourselves an external loop by doing this "trick"
            $m = array_column($rows, 'month');
            //for example, in the case: [0=>February,1=>January,2=>October]
            //because this is created from $rows, with a natural number index
            //we can simply do array_search on $m to get the index we need in $rows (see below)
            foreach($months as $month){
                $index = array_search($month, $m);
                if(false === $index){
                    echo "<td>0</td>
";
                }else{
                   echo "<td>{$rows[$index]['total']}</td>
"; 
                }                 
            }
            echo "</tr>
";
        }
    ?>
    </tbody>
</table>

Output (I did format it to look a bit nicer):

<table id="registeredTable" class="table table-striped table-bordered table-hover">
    <thead>
        <tr>
            <th>Locations</th>
            <th>January</th>
            <th>February</th>
            <th>March</th>
            <th>April</th>
            <th>May</th>
            <th>June</th>
            <th>July</th>
            <th>August</th>
            <th>September</th>
            <th>October</th>
            <th>November</th>
            <th>December</th>
        </tr>
    </thead>
    <tbody>
        <tr>
            <td>Austin_Domestic</td>
            <td>15</td>
            <td>5</td>
            <td>0</td>
            <td>0</td>
            <td>0</td>
            <td>0</td>
            <td>0</td>
            <td>0</td>
            <td>0</td>
            <td>8</td>
            <td>0</td>
            <td>0</td>
        </tr>
    </tbody>
</table>

Sandbox

One note and benefit of using an array for the months is you spelled Feburary wrong it should be February something I've been guilty of many many times.

The only real downside to this, is the month name has to match the month name returned from the DB, which shouldn't be an issue if they are spelled correctly (which is how I found the mistake). Otherwise this can applied to the month as a number just as easily, same idea.

Cheers!

First, you should change the query to return MONTH(DateAdded) instead of the whole date, since that's how your output table is organized:

$selectallmonthlysql = 'SELECT locations, MONTH(DateAdded) AS month, COUNT(*) as Total
                FROM testserverdataSignup
                WHERE DateAdded > "2017-12-31"
                GROUP BY month, locations';

Then you should reorganize the array into nested arrays:

array(location1 => array(month1 => total1, month2 => total2, ...),
      location2 => array(month1 => total1, month2 => total2, ...),
      ...)

This code will do that:

$groupedData = array();
while ($selectAllmonthlystmt->fetch(PDO::FETCH_ASSOC) {
    $groupedData[$row['locations']][$row['month']] = $row['Total'];
}

Then you can use nested loops when creating the table. The outer loop creates the rows, the inner loop is for the cells in the row.

foreach ($groupedData as $location => $locationData) {
    echo "<tr><td>$location</td>";
    for ($month = 1; $month <= 12; $month++) {
        echo "<td>";
        echo isset($locationData[$month]) ? $locaitonData[$month] : 0;
        echo "</td>";
    }
    echo "</tr>";
}