我正在制作一个管理Web应用程序。我想显示数据库中的销售和购买图。我正在使用php检索数据,并使用ajax将其显示在html页面中。图形在绘制,但问题是数据无法正确显示。
这是我页面的链接:
您可以通过输入以下内容来进行尝试-Categary=Purchase, View=Monthly, Year=2018, Month=Jun
脚本
<script type="text/javascript">
// Load the Visualization API and the piechart package.
google.charts.load('current', {'packages':['bar']});
function drawChart() {
var category = document.getElementById('category');
var categorySelected = category.options[category.selectedIndex].value;
var view = document.getElementById('view');
var viewSelected = view.options[view.selectedIndex].value;
var month = document.getElementById('month');
var monthSelected = month.options[month.selectedIndex].value;
var year = document.getElementById('year');
var yearSelected = year.options[year.selectedIndex].value;
var settings = {
"url": "php/past.php",
"method": "post",
"headers": {
"Content-Type": "application/x-www-form-urlencoded",
},
"data": {
"category": categorySelected,
"view": viewSelected,
"month": monthSelected,
"year": yearSelected
}
}
$.ajax(settings).done(function(response) {
var data = google.visualization.arrayToDataTable([
['Month', 'Amount'], response
]);
var options = {
chart: {
title: 'Past Performance Graph',
subtitle: 'Duration : Jan 2018- Jun 2018',
}
};
var chart = new google.charts.Bar(document.getElementById('graph'));
chart.draw(data, google.charts.Bar.convertOptions(options));
});
}
</script>
PHP
<?php
$category = $_POST["category"];
$view = $_POST["view"];
$month = $_POST["month"];
$year = $_POST["year"];
$con = mysqli_connect("localhost","username","pw","db");
if($category == "Purchase"){
if($view == "Weekly"){
$sql = "SELECT Date,SUM(Amount) from AccPurchase WHERE Date LIKE '$year-$month%' GROUP BY WEEK(Date)";
}else if($view == "Monthly"){
$sql = "SELECT Date,SUM(Amount) from AccPurchase WHERE Date LIKE '$year%' GROUP BY MONTH(Date)";
}else if($view == "Yearly"){
$sql = "SELECT Date,SUM(Amount) from AccPurchase GROUP BY YEAR(Date)";
}
}else if($category == "Sales"){
if($view == "Weekly"){
$sql = "SELECT Date,SUM(Amount) from AccSales WHERE Date LIKE '$year-$month%' GROUP BY WEEK(Date)";
}else if($view == "Monthly"){
$sql = "SELECT Date,SUM(Amount) from AccSales WHERE Date LIKE '$year%' GROUP BY MONTH(Date)";
}else if($view == "Yearly"){
$sql = "SELECT Date,SUM(Amount) from AccSales GROUP BY YEAR(Date)";
}
}
$exc = mysqli_query($con, $sql);
$rows = array();
while ($row = mysqli_fetch_assoc($exc)) {
$rows[] = array("v"=>$row["Date"], "v"=>$row["SUM(Amount)"]);
}
header('Content-Type: application/json');
echo json_encode($rows);
mysqli_close($con);
?>
我正在寻找解决方案,我得到了这篇文章:
我认为我需要以这种格式对数据进行打磨,但我不知道如何从php以这种格式发送数据。
{
"cols": [
{"id": "date", "label": "date","pattern": "","type": "string"},
{"id": "newjobs","label": "newjobs","pattern": "","type": "number"}
],
"rows": [
{"c": [
{"v": "01-02-2013","f": null},
{"v": 132,"f": null}
]},
{"c": [
{"v": "08-02-2013","f": null},
{"v": 78,"f": null}
]},
{"c": [
{"v": "15-02-2013","f": null},
{"v": 105,"f": null}
]
},
{"c": [
{"v": "22-02-2013","f": null},
{"v": 8,"f": null}
]}
]
}
答案 0 :(得分:0)
第一,让我们在所有 sql语句中给总和计算一个名称...
将-> SUM(Amount)
-更改为-> SUM(Amount) as TotalAmount
例如
$sql = "SELECT Date,SUM(Amount) as TotalAmount from AccPurchase WHERE Date LIKE '$year-$month%' GROUP BY WEEK(Date)";
下一步,以下php将以Google的数据表格式创建json ...
$exc = mysqli_query($con, $sql);
$rows = array();
$table = array();
$table['cols'] = array(
array('label' => 'Month', 'type' => 'string'),
array('label' => 'Amount', 'type' => 'number')
);
while ($row = mysqli_fetch_assoc($exc)) {
$data = array();
$data[] = array("v" => date_format($row["Date"], "Y-m"));
$data[] = array("v" => $row["TotalAmount"]);
$rows[] = array('c' => $data);
}
$table['rows'] = $rows;
header('Content-Type: application/json');
echo json_encode($table);
mysqli_close($con);
注意:您可能要更改日期格式,不确定此处是否需要...
$data[] = array("v" => date_format($row["Date"], "Y-m"));
这将为您提供-> 2018-06
的格式-6月...
最终,因为您现在拥有正确的json格式,
您可以直接创建新的数据表,而无需使用-> arrayToDataTable
,
像这样...
$.ajax(settings).done(function(response) {
var data = new google.visualization.DataTable(response);
var options = {
chart: {
title: 'Past Performance Graph',
subtitle: 'Duration : Jan 2018- Jun 2018',
}
};
var chart = new google.charts.Bar(document.getElementById('graph'));
chart.draw(data, google.charts.Bar.convertOptions(options));
});