Google 来自多个 csv 的图表
Google Chart from multiple csv
我是 javascript 的新手，我需要您的帮助。
我目前正在从事一个关于监测喷气孔温度的科学项目（意大利阿尔班山）。
因此，我每 15 分钟获取一次数据，并创建了一个名为 fumarola1-YY-m-d.csv 的 .csv 文件（例如 fumarola1-2021-06-20.csv ) 像这样：
time,temp
00:00:01,52.1
00:15:01,51.5
00:30:01,51.5
00:45:01,51.5
01:00:01,51.5
我创建了一个 Google 图表来显示温度的每日变化，但我仍然有一个问题：有没有办法在一个图表中加载多个 csv 文件（例如 fumarola1-2021-06-20.csv 和 fumarola1-2021-06-19.csv)？我想显示今天、昨天，也许还有 2 天前。绘制趋势线也很棒！提前致谢，我将在下面向您展示我的代码。
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<title>Daily temperatures</title>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.4/jquery.min.js"></script>
<script type="text/javascript" src="https://www.google.com/jsapi"></script>
<script src="temp/jquery.csv.min.js"></script>
<script type="text/javascript">
google.load('visualization', '1', { packages: ['corechart', 'controls'] });
</script>
<script type="text/javascript">
function drawVisualization() {
var oggidata = new Date().toJSON().slice(0,10).replace(/-/g,'-');
var nomefile = "temp/fumarola1-" + oggidata + ".csv";
$.get(nomefile, function(csvString) {
var arrayData = $.csv.toArrays(csvString, {onParseValue: $.csv.hooks.castToScalar});
var data = new google.visualization.arrayToDataTable(arrayData);
var pi_temp = new google.visualization.ChartWrapper({
chartType: 'LineChart',
containerId: 'pi_temp',
dataTable: data,
options:{
lineWidth: 1,
width: 1000, height: 500,
title: 'Today: fumarola1-' + oggidata + '.csv',
hAxis: {title: 'Hour'},
vAxis: {title: 'Temp (Celsius)'},
series: { 0: {visibleInLegend: false}},
trendlines: { 0: {} },
}
});
pi_temp.draw();
});
}
google.setOnLoadCallback(drawVisualization)
</script>
<div id="pi_temp"></div>
</body>
</html>
这里jquery.csv.min.js
RegExp.escape=function(a){return a.replace(/[-\/\^$*+?.()|[\]{}]/g,"\$&")},function(a){"use strict";var b;b="undefined"!=typeof jQuery&&jQuery?jQuery:{},b.csv={defaults:{separator:",",delimiter:'"',headers:!0},hooks:{castToScalar:function(a){var b=/\./;if(isNaN(a))return a;if(b.test(a))return parseFloat(a);var c=parseInt(a);return isNaN(c)?null:c}},parsers:{parse:function(b,c){function d(){if(j=0,k="",c.start&&c.state.rowNum<c.start)return i=[],c.state.rowNum++,void(c.state.colNum=1);if(c.onParseEntry===a)h.push(i);else{var b=c.onParseEntry(i,c.state);b!==!1&&h.push(b)}i=[],c.end&&c.state.rowNum>=c.end&&(l=!0),c.state.rowNum++,c.state.colNum=1}function e(){if(c.onParseValue===a)i.push(k);else{var b=c.onParseValue(k,c.state);b!==!1&&i.push(b)}k="",j=0,c.state.colNum++}var f=c.separator,g=c.delimiter;c.state.rowNum||(c.state.rowNum=1),c.state.colNum||(c.state.colNum=1);var h=[],i=[],j=0,k="",l=!1,m=RegExp.escape(f),n=RegExp.escape(g),o=/(D|S|\r\n|\n|\r|[^DS\r\n]+)/,p=o.source;return p=p.replace(/S/g,m),p=p.replace(/D/g,n),o=new RegExp(p,"gm"),b.replace(o,function(a){if(!l)switch(j){case 0:if(a===f){k+="",e();break}if(a===g){j=1;break}if(/^(\r\n|\n|\r)$/.test(a)){e(),d();break}k+=a,j=3;break;case 1:if(a===g){j=2;break}k+=a,j=1;break;case 2:if(a===g){k+=a,j=1;break}if(a===f){e();break}if(/^(\r\n|\n|\r)$/.test(a)){e(),d();break}throw new Error("CSVDataError: Illegal State [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]");case 3:if(a===f){e();break}if(/^(\r\n|\n|\r)$/.test(a)){e(),d();break}if(a===g)throw new Error("CSVDataError: Illegal Quote [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]");throw new Error("CSVDataError: Illegal Data [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]");default:throw new Error("CSVDataError: Unknown State [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]")}}),0!==i.length&&(e(),d()),h},splitLines:function(b,c){function d(){if(h=0,c.start&&c.state.rowNum<c.start)return i="",void c.state.rowNum++;if(c.onParseEntry===a)g.push(i);else{var b=c.onParseEntry(i,c.state);b!==!1&&g.push(b)}i="",c.end&&c.state.rowNum>=c.end&&(j=!0),c.state.rowNum++}var e=c.separator,f=c.delimiter;c.state.rowNum||(c.state.rowNum=1);var g=[],h=0,i="",j=!1,k=RegExp.escape(e),l=RegExp.escape(f),m=/(D|S|\n|\r|[^DS\r\n]+)/,n=m.source;return n=n.replace(/S/g,k),n=n.replace(/D/g,l),m=new RegExp(n,"gm"),b.replace(m,function(a){if(!j)switch(h){case 0:if(a===e){i+=a,h=0;break}if(a===f){i+=a,h=1;break}if("\n"===a){d();break}if(/^\r$/.test(a))break;i+=a,h=3;break;case 1:if(a===f){i+=a,h=2;break}i+=a,h=1;break;case 2:var b=i.substr(i.length-1);if(a===f&&b===f){i+=a,h=1;break}if(a===e){i+=a,h=0;break}if("\n"===a){d();break}if("\r"===a)break;throw new Error("CSVDataError: Illegal state [Row:"+c.state.rowNum+"]");case 3:if(a===e){i+=a,h=0;break}if("\n"===a){d();break}if("\r"===a)break;if(a===f)throw new Error("CSVDataError: Illegal quote [Row:"+c.state.rowNum+"]");throw new Error("CSVDataError: Illegal state [Row:"+c.state.rowNum+"]");default:throw new Error("CSVDataError: Unknown state [Row:"+c.state.rowNum+"]")}}),""!==i&&d(),g},parseEntry:function(b,c){function d(){if(c.onParseValue===a)g.push(i);else{var b=c.onParseValue(i,c.state);b!==!1&&g.push(b)}i="",h=0,c.state.colNum++}var e=c.separator,f=c.delimiter;c.state.rowNum||(c.state.rowNum=1),c.state.colNum||(c.state.colNum=1);var g=[],h=0,i="";if(!c.match){var j=RegExp.escape(e),k=RegExp.escape(f),l=/(D|S|\n|\r|[^DS\r\n]+)/,m=l.source;m=m.replace(/S/g,j),m=m.replace(/D/g,k),c.match=new RegExp(m,"gm")}return b.replace(c.match,function(a){switch(h){case 0:if(a===e){i+="",d();break}if(a===f){h=1;break}if("\n"===a||"\r"===a)break;i+=a,h=3;break;case 1:if(a===f){h=2;break}i+=a,h=1;break;case 2:if(a===f){i+=a,h=1;break}if(a===e){d();break}if("\n"===a||"\r"===a)break;throw new Error("CSVDataError: Illegal State [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]");case 3:if(a===e){d();break}if("\n"===a||"\r"===a)break;if(a===f)throw new Error("CSVDataError: Illegal Quote [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]");throw new Error("CSVDataError: Illegal Data [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]");default:throw new Error("CSVDataError: Unknown State [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]")}}),d(),g}},helpers:{collectPropertyNames:function(a){var b,c,d=[];for(b in a)for(c in a[b])a[b].hasOwnProperty(c)&&d.indexOf(c)<0&&"function"!=typeof a[b][c]&&d.push(c);return d}},toArray:function(c,d,e){d=d!==a?d:{};var f={};f.callback=e!==a&&"function"==typeof e?e:!1,f.separator="separator"in d?d.separator:b.csv.defaults.separator,f.delimiter="delimiter"in d?d.delimiter:b.csv.defaults.delimiter;var g=d.state!==a?d.state:{};d={delimiter:f.delimiter,separator:f.separator,onParseEntry:d.onParseEntry,onParseValue:d.onParseValue,state:g};var h=b.csv.parsers.parseEntry(c,d);return f.callback?void f.callback("",h):h},toArrays:function(c,d,e){d=d!==a?d:{};var f={};f.callback=e!==a&&"function"==typeof e?e:!1,f.separator="separator"in d?d.separator:b.csv.defaults.separator,f.delimiter="delimiter"in d?d.delimiter:b.csv.defaults.delimiter;var g=[];return d={delimiter:f.delimiter,separator:f.separator,onPreParse:d.onPreParse,onParseEntry:d.onParseEntry,onParseValue:d.onParseValue,onPostParse:d.onPostParse,start:d.start,end:d.end,state:{rowNum:1,colNum:1}},d.onPreParse!==a&&d.onPreParse(c,d.state),g=b.csv.parsers.parse(c,d),d.onPostParse!==a&&d.onPostParse(g,d.state),f.callback?void f.callback("",g):g},toObjects:function(c,d,e){d=d!==a?d:{};var f={};f.callback=e!==a&&"function"==typeof e?e:!1,f.separator="separator"in d?d.separator:b.csv.defaults.separator,f.delimiter="delimiter"in d?d.delimiter:b.csv.defaults.delimiter,f.headers="headers"in d?d.headers:b.csv.defaults.headers,d.start="start"in d?d.start:1,f.headers&&d.start++,d.end&&f.headers&&d.end++;var g=[],h=[];d={delimiter:f.delimiter,separator:f.separator,onPreParse:d.onPreParse,onParseEntry:d.onParseEntry,onParseValue:d.onParseValue,onPostParse:d.onPostParse,start:d.start,end:d.end,state:{rowNum:1,colNum:1},match:!1,transform:d.transform};var i={delimiter:f.delimiter,separator:f.separator,start:1,end:1,state:{rowNum:1,colNum:1}};d.onPreParse!==a&&d.onPreParse(c,d.state);var j=b.csv.parsers.splitLines(c,i),k=b.csv.toArray(j[0],d);g=b.csv.parsers.splitLines(c,d),d.state.colNum=1,d.state.rowNum=k?2:1;for(var l=0,m=g.length;m>l;l++){for(var n=b.csv.toArray(g[l],d),o={},p=0;p<k.length;p++)o[k[p]]=n[p];h.push(d.transform!==a?d.transform.call(a,o):o),d.state.rowNum++}return d.onPostParse!==a&&d.onPostParse(h,d.state),f.callback?void f.callback("",h):h},fromArrays:function(c,d,e){d=d!==a?d:{};var f={};f.callback=e!==a&&"function"==typeof e?e:!1,f.separator="separator"in d?d.separator:b.csv.defaults.separator,f.delimiter="delimiter"in d?d.delimiter:b.csv.defaults.delimiter;var g,h,i,j,k="";for(i=0;i<c.length;i++){for(g=c[i],h=[],j=0;j<g.length;j++){var l=g[j]===a||null===g[j]?"":g[j].toString();l.indexOf(f.delimiter)>-1&&(l=l.replace(f.delimiter,f.delimiter+f.delimiter));var m="\n|\r|S|D";m=m.replace("S",f.separator),m=m.replace("D",f.delimiter),l.search(m)>-1&&(l=f.delimiter+l+f.delimiter),h.push(l)}k+=h.join(f.separator)+"\r\n"}return f.callback?void f.callback("",k):k},fromObjects:function(c,d,e){d=d!==a?d:{};var f={};if(f.callback=e!==a&&"function"==typeof e?e:!1,f.separator="separator"in d?d.separator:b.csv.defaults.separator,f.delimiter="delimiter"in d?d.delimiter:b.csv.defaults.delimiter,f.headers="headers"in d?d.headers:b.csv.defaults.headers,f.sortOrder="sortOrder"in d?d.sortOrder:"declare",f.manualOrder="manualOrder"in d?d.manualOrder:[],f.transform=d.transform,"string"==typeof f.manualOrder&&(f.manualOrder=b.csv.toArray(f.manualOrder,f)),f.transform!==a){var g=c;c=[];var h;for(h=0;h<g.length;h++)c.push(f.transform.call(a,g[h]))}var i=b.csv.helpers.collectPropertyNames(c);if("alpha"===f.sortOrder&&i.sort(),f.manualOrder.length>0){var j,k=[].concat(f.manualOrder);for(j=0;j<i.length;j++)k.indexOf(i[j])<0&&k.push(i[j]);i=k}var l,j,m,n,o=[];for(f.headers&&o.push(i),l=0;l<c.length;l++){for(m=[],j=0;j<i.length;j++)n=i[j],m.push(n in c[l]&&"function"!=typeof c[l][n]?c[l][n]:"");o.push(m)}return b.csv.fromArrays(o,d,f.callback)}},b.csvEntry2Array=b.csv.toArray,b.csv2Array=b.csv.toArrays,b.csv2Dictionary=b.csv.toObjects,"undefined"!=typeof module&&module.exports&&(module.exports=b.csv)}.call(this);
谢谢你，祝你有愉快的一天！
首先，您使用的是 google 图表的旧版本。
jsapi 不应再使用。
而是加载以下...
<script src="https://www.gstatic.com/charts/loader.js"></script>
这只会更改 load 语句。
google.charts.load('current', {
packages: ['controls']
}).then(function () {
// place chart code here
});
接下来，我们需要在绘制图表之前收集所有数据。
我们可以提出所有请求，然后将所有数据组合成一个数组。
在这里，我们使用 while 循环来请求最近三天的数据，包括今天。
// gather data for last three days (including today)
var chartData = null;
var requests = [];
var dateEnd = new Date();
var dateRequest = new Date(dateEnd.getFullYear(), dateEnd.getMonth(), dateEnd.getDate() - 2);
while (dateRequest.getTime() <= dateEnd.getTime()) {
var oggidata = dateRequest.toJSON().slice(0,10).replace(/-/g,'-');
requests.push(makeRequest(oggidata));
dateRequest = new Date(dateRequest.getFullYear(), dateRequest.getMonth(), dateRequest.getDate() + 1);
}
然后我们可以使用when语句，知道所有请求何时完成，
然后绘制我们的图表。
// wait for all requests to finish
$.when.apply($, requests).done(function () {
// create, sort data table by date / time
var data = new google.visualization.arrayToDataTable(chartData);
data.sort([{column: 0}]);
// draw chart
var pi_temp = new google.visualization.ChartWrapper({
chartType: 'LineChart',
containerId: 'pi_temp',
dataTable: data,
options:{
lineWidth: 1,
width: 1000, height: 500,
title: 'Today: fumarola1-' + oggidata + '.csv',
hAxis: {title: 'Hour', format: 'MM/dd hh:mm:ss'},
vAxis: {title: 'Temp (Celsius)'},
series: { 0: {visibleInLegend: false}},
trendlines: { 0: {} },
}
});
pi_temp.draw();
});
最后，这是我们用来发出 csv 请求和合并数据的函数。
注意：为了绘制趋势线，我们必须将时间字符串转换为实际日期。离散轴不支持趋势线（其中轴值是字符串）
// make csv request, return promise
function makeRequest(oggidata) {
return $.get("temp/fumarola1-" + oggidata + ".csv", function(csvString) {
var arrayData = $.csv.toArrays(csvString, {onParseValue: $.csv.hooks.castToScalar});
arrayData = arrayData.map(function (row, index) {
if (index === 0) {
// return column headings
return row;
} else {
// convert time string to date
return [new Date(oggidata + 'T' + row[0]), row[1]];
}
});
// combine data
if (chartData === null) {
chartData = arrayData;
} else {
// remove column headings, add remaining rows
arrayData.splice(0, 1);
chartData = chartData.concat(arrayData);
}
});
}
请参阅以下完整代码段...
google.charts.load('current', {
packages: ['controls']
}).then(function () {
// gather data for last three days (including today)
var chartData = null;
var requests = [];
var dateEnd = new Date();
var dateRequest = new Date(dateEnd.getFullYear(), dateEnd.getMonth(), dateEnd.getDate() - 2);
while (dateRequest.getTime() <= dateEnd.getTime()) {
var oggidata = dateRequest.toJSON().slice(0,10).replace(/-/g,'-');
requests.push(makeRequest(oggidata));
dateRequest = new Date(dateRequest.getFullYear(), dateRequest.getMonth(), dateRequest.getDate() + 1);
}
// wait for all requests to finish
$.when.apply($, requests).done(function () {
// create, sort data table by date / time
var data = new google.visualization.arrayToDataTable(chartData);
data.sort([{column: 0}]);
// draw chart
var pi_temp = new google.visualization.ChartWrapper({
chartType: 'LineChart',
containerId: 'pi_temp',
dataTable: data,
options:{
lineWidth: 1,
width: 1000, height: 500,
title: 'Today: fumarola1-' + oggidata + '.csv',
hAxis: {title: 'Hour', format: 'MM/dd hh:mm:ss'},
vAxis: {title: 'Temp (Celsius)'},
series: { 0: {visibleInLegend: false}},
trendlines: { 0: {} },
}
});
pi_temp.draw();
});
// make csv request, return promise
function makeRequest(oggidata) {
return $.get("temp/fumarola1-" + oggidata + ".csv", function(csvString) {
var arrayData = $.csv.toArrays(csvString, {onParseValue: $.csv.hooks.castToScalar});
arrayData = arrayData.map(function (row, index) {
if (index === 0) {
// return column headings
return row;
} else {
// convert time string to date
return [new Date(oggidata + 'T' + row[0]), row[1]];
}
});
// combine data
if (chartData === null) {
chartData = arrayData;
} else {
arrayData.splice(0, 1);
chartData = chartData.concat(arrayData);
}
});
}
});
我是 javascript 的新手，我需要您的帮助。 我目前正在从事一个关于监测喷气孔温度的科学项目（意大利阿尔班山）。 因此，我每 15 分钟获取一次数据，并创建了一个名为 fumarola1-YY-m-d.csv 的 .csv 文件（例如 fumarola1-2021-06-20.csv ) 像这样：
time,temp
00:00:01,52.1
00:15:01,51.5
00:30:01,51.5
00:45:01,51.5
01:00:01,51.5
我创建了一个 Google 图表来显示温度的每日变化，但我仍然有一个问题：有没有办法在一个图表中加载多个 csv 文件（例如 fumarola1-2021-06-20.csv 和 fumarola1-2021-06-19.csv)？我想显示今天、昨天，也许还有 2 天前。绘制趋势线也很棒！提前致谢，我将在下面向您展示我的代码。
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<title>Daily temperatures</title>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.4/jquery.min.js"></script>
<script type="text/javascript" src="https://www.google.com/jsapi"></script>
<script src="temp/jquery.csv.min.js"></script>
<script type="text/javascript">
google.load('visualization', '1', { packages: ['corechart', 'controls'] });
</script>
<script type="text/javascript">
function drawVisualization() {
var oggidata = new Date().toJSON().slice(0,10).replace(/-/g,'-');
var nomefile = "temp/fumarola1-" + oggidata + ".csv";
$.get(nomefile, function(csvString) {
var arrayData = $.csv.toArrays(csvString, {onParseValue: $.csv.hooks.castToScalar});
var data = new google.visualization.arrayToDataTable(arrayData);
var pi_temp = new google.visualization.ChartWrapper({
chartType: 'LineChart',
containerId: 'pi_temp',
dataTable: data,
options:{
lineWidth: 1,
width: 1000, height: 500,
title: 'Today: fumarola1-' + oggidata + '.csv',
hAxis: {title: 'Hour'},
vAxis: {title: 'Temp (Celsius)'},
series: { 0: {visibleInLegend: false}},
trendlines: { 0: {} },
}
});
pi_temp.draw();
});
}
google.setOnLoadCallback(drawVisualization)
</script>
<div id="pi_temp"></div>
</body>
</html>
这里jquery.csv.min.js
RegExp.escape=function(a){return a.replace(/[-\/\^$*+?.()|[\]{}]/g,"\$&")},function(a){"use strict";var b;b="undefined"!=typeof jQuery&&jQuery?jQuery:{},b.csv={defaults:{separator:",",delimiter:'"',headers:!0},hooks:{castToScalar:function(a){var b=/\./;if(isNaN(a))return a;if(b.test(a))return parseFloat(a);var c=parseInt(a);return isNaN(c)?null:c}},parsers:{parse:function(b,c){function d(){if(j=0,k="",c.start&&c.state.rowNum<c.start)return i=[],c.state.rowNum++,void(c.state.colNum=1);if(c.onParseEntry===a)h.push(i);else{var b=c.onParseEntry(i,c.state);b!==!1&&h.push(b)}i=[],c.end&&c.state.rowNum>=c.end&&(l=!0),c.state.rowNum++,c.state.colNum=1}function e(){if(c.onParseValue===a)i.push(k);else{var b=c.onParseValue(k,c.state);b!==!1&&i.push(b)}k="",j=0,c.state.colNum++}var f=c.separator,g=c.delimiter;c.state.rowNum||(c.state.rowNum=1),c.state.colNum||(c.state.colNum=1);var h=[],i=[],j=0,k="",l=!1,m=RegExp.escape(f),n=RegExp.escape(g),o=/(D|S|\r\n|\n|\r|[^DS\r\n]+)/,p=o.source;return p=p.replace(/S/g,m),p=p.replace(/D/g,n),o=new RegExp(p,"gm"),b.replace(o,function(a){if(!l)switch(j){case 0:if(a===f){k+="",e();break}if(a===g){j=1;break}if(/^(\r\n|\n|\r)$/.test(a)){e(),d();break}k+=a,j=3;break;case 1:if(a===g){j=2;break}k+=a,j=1;break;case 2:if(a===g){k+=a,j=1;break}if(a===f){e();break}if(/^(\r\n|\n|\r)$/.test(a)){e(),d();break}throw new Error("CSVDataError: Illegal State [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]");case 3:if(a===f){e();break}if(/^(\r\n|\n|\r)$/.test(a)){e(),d();break}if(a===g)throw new Error("CSVDataError: Illegal Quote [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]");throw new Error("CSVDataError: Illegal Data [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]");default:throw new Error("CSVDataError: Unknown State [Row:"+c.state.rowNum+"][Col:"+c.state.colNum+"]")}}),0!==i.length&&(e(),d()),h},splitLines:function(b,c){function d(){if(h=0,c.start&&c.state.rowNum<c.start)return i="",void c.state.rowNum++;if(c.onParseEntry===a)g.push(i);else{var 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谢谢你，祝你有愉快的一天！
首先，您使用的是 google 图表的旧版本。
jsapi 不应再使用。
而是加载以下...
<script src="https://www.gstatic.com/charts/loader.js"></script>
这只会更改 load 语句。
google.charts.load('current', {
packages: ['controls']
}).then(function () {
// place chart code here
});
接下来，我们需要在绘制图表之前收集所有数据。
我们可以提出所有请求，然后将所有数据组合成一个数组。
在这里，我们使用 while 循环来请求最近三天的数据，包括今天。
// gather data for last three days (including today)
var chartData = null;
var requests = [];
var dateEnd = new Date();
var dateRequest = new Date(dateEnd.getFullYear(), dateEnd.getMonth(), dateEnd.getDate() - 2);
while (dateRequest.getTime() <= dateEnd.getTime()) {
var oggidata = dateRequest.toJSON().slice(0,10).replace(/-/g,'-');
requests.push(makeRequest(oggidata));
dateRequest = new Date(dateRequest.getFullYear(), dateRequest.getMonth(), dateRequest.getDate() + 1);
}
然后我们可以使用when语句，知道所有请求何时完成，
然后绘制我们的图表。
// wait for all requests to finish
$.when.apply($, requests).done(function () {
// create, sort data table by date / time
var data = new google.visualization.arrayToDataTable(chartData);
data.sort([{column: 0}]);
// draw chart
var pi_temp = new google.visualization.ChartWrapper({
chartType: 'LineChart',
containerId: 'pi_temp',
dataTable: data,
options:{
lineWidth: 1,
width: 1000, height: 500,
title: 'Today: fumarola1-' + oggidata + '.csv',
hAxis: {title: 'Hour', format: 'MM/dd hh:mm:ss'},
vAxis: {title: 'Temp (Celsius)'},
series: { 0: {visibleInLegend: false}},
trendlines: { 0: {} },
}
});
pi_temp.draw();
});
最后，这是我们用来发出 csv 请求和合并数据的函数。
注意：为了绘制趋势线，我们必须将时间字符串转换为实际日期。离散轴不支持趋势线（其中轴值是字符串）
// make csv request, return promise
function makeRequest(oggidata) {
return $.get("temp/fumarola1-" + oggidata + ".csv", function(csvString) {
var arrayData = $.csv.toArrays(csvString, {onParseValue: $.csv.hooks.castToScalar});
arrayData = arrayData.map(function (row, index) {
if (index === 0) {
// return column headings
return row;
} else {
// convert time string to date
return [new Date(oggidata + 'T' + row[0]), row[1]];
}
});
// combine data
if (chartData === null) {
chartData = arrayData;
} else {
// remove column headings, add remaining rows
arrayData.splice(0, 1);
chartData = chartData.concat(arrayData);
}
});
}
请参阅以下完整代码段...
google.charts.load('current', {
packages: ['controls']
}).then(function () {
// gather data for last three days (including today)
var chartData = null;
var requests = [];
var dateEnd = new Date();
var dateRequest = new Date(dateEnd.getFullYear(), dateEnd.getMonth(), dateEnd.getDate() - 2);
while (dateRequest.getTime() <= dateEnd.getTime()) {
var oggidata = dateRequest.toJSON().slice(0,10).replace(/-/g,'-');
requests.push(makeRequest(oggidata));
dateRequest = new Date(dateRequest.getFullYear(), dateRequest.getMonth(), dateRequest.getDate() + 1);
}
// wait for all requests to finish
$.when.apply($, requests).done(function () {
// create, sort data table by date / time
var data = new google.visualization.arrayToDataTable(chartData);
data.sort([{column: 0}]);
// draw chart
var pi_temp = new google.visualization.ChartWrapper({
chartType: 'LineChart',
containerId: 'pi_temp',
dataTable: data,
options:{
lineWidth: 1,
width: 1000, height: 500,
title: 'Today: fumarola1-' + oggidata + '.csv',
hAxis: {title: 'Hour', format: 'MM/dd hh:mm:ss'},
vAxis: {title: 'Temp (Celsius)'},
series: { 0: {visibleInLegend: false}},
trendlines: { 0: {} },
}
});
pi_temp.draw();
});
// make csv request, return promise
function makeRequest(oggidata) {
return $.get("temp/fumarola1-" + oggidata + ".csv", function(csvString) {
var arrayData = $.csv.toArrays(csvString, {onParseValue: $.csv.hooks.castToScalar});
arrayData = arrayData.map(function (row, index) {
if (index === 0) {
// return column headings
return row;
} else {
// convert time string to date
return [new Date(oggidata + 'T' + row[0]), row[1]];
}
});
// combine data
if (chartData === null) {
chartData = arrayData;
} else {
arrayData.splice(0, 1);
chartData = chartData.concat(arrayData);
}
});
}
});