http://fseitz.de/blog/ Notizen aus der Welt der Programmierung und Administration de Serendipity 1.5.1 - http://www.s9y.org/ Sat, 07 Mar 2026 22:00:27 GMT http://fseitz.de/blog/templates/default/img/s9y_banner_small.png http://fseitz.de/blog/ 100 21 http://fseitz.de/blog/index.php?/archives/157-Plotly.js-Plotten-und-analysieren-einer-Gruppe-von-Zeitreihen.html JavaScript Plotly http://fseitz.de/blog/index.php?/archives/157-Plotly.js-Plotten-und-analysieren-einer-Gruppe-von-Zeitreihen.html#comments http://fseitz.de/blog/wfwcomment.php?cid=157 0 http://fseitz.de/blog/rss.php?version=2.0&type=comments&cid=157 nospam@example.com (Frank Seitz) <p class="sdoc-fig-p"> <a href="https://plotly.com/javascript/"><img class="sdoc-fig-img" src="http://fseitz.de/blog/uploads/plotly-js-logo-522x122.png" width="171" height="40" alt="" /></a> </p> <p class="sdoc-para-p"> Die folgenden Diagramme zeigen Zeitreihen-Plots (am Beispiel von Umweltdaten) mit "Rangeslider" auf Basis des JavaScript Plot-Frameworks <a class="sdoc-seg-u" href="https://plotly.com/javascript/">Plotly.js</a>. Die Zeitreihen behandele ich als eine Einheit, wobei ich folgende Bedienlogik realisiert habe: </p> <ul class="sdoc-list-ul"> <li class="sdoc-list-li-point" style="list-style-type:disc"> <p class="sdoc-para-p"> In dem Diagramm, dessen Rangeslider aktiviert ist (siehe Checkbox am jeweiligen Diagramm), kann mit der linken Maustaste im Plot ein Zeitbereich ausgewählt und anschließend mit dem Rangeslider durch den Gesamtbereich gescrollt werden. Das Zoomen und Scrollen findet dabei über allen Diagrammen synchron statt. Bei Doppelklick in den Plot-Breich wird der ursprüngliche Zustand über allen Diagrammen wieder hergestellt. </p> </li> <li class="sdoc-list-li-point" style="list-style-type:disc"> <p class="sdoc-para-p"> Mit dem Button "Scale Y Axis" kann die Y-Achse auf den Wertebereich der sichtbaren Daten skaliert werden. Dies ist nützlich, wenn in einen Zeitbereich mit geringen Wertänderungen hineingezoomt wurde. Bei einer zweiten Betätigung wird der ursprünglche Zustand der Y-Skalierung wieder hergestellt. Bei Doppelklick in irgendein Diagramm werden alle Y-Achsen gemeinsam wieder hergestellt. </p> </li> <li class="sdoc-list-li-point" style="list-style-type:disc"> <p class="sdoc-para-p"> Beim Überfahren der Plots mit der Maus wird das Koordinatenpaar des nächstgelegenen Punktes angezeigt. </p> </li> <li class="sdoc-list-li-point" style="list-style-type:disc"> <p class="sdoc-para-p"> Im Menü "Shape" kann die Kurvendarstellung eingestellt werden. Spline: Die Messwerte werden durch eine Spline-Approximation verbunden. Linear: Die Messwerte werden durch eine gerade Linie verbunden. Marker: Die Messwerte werden nicht verbunden, sondern durch einen Punkt dargestellt. Quality: Wie Marker, nur dass in der Farbe des Punktes eine dritte Dimension (hier: die Qualität des Messwerts) kodiert ist. </p> </li> <li class="sdoc-list-li-point" style="list-style-type:disc"> <p class="sdoc-para-p"> Mittels des Buttons "Download as PNG" kann das Diagramm als Grafik heruntergeladen werden. Soll er Rangeslider darauf nicht erscheinen, bietet es sich an, diesen vorher wegzuschalten. </p> </li> <li class="sdoc-list-li-point" style="list-style-type:disc"> <p class="sdoc-para-p"> Die geplotteten Daten sind nicht Teil der HTML-Seite (!), sondern werden per Ajax-Request von einer anderen Site via Cross-Origin Resource Sharing <i class="sdoc-seg-i">asynchron</i> geladen. </p> </li> <li class="sdoc-list-li-point" style="list-style-type:disc"> <p class="sdoc-para-p"> Sonderfall "Keine Daten": Das letzte Diagramm (GlobalRadiation) zeigt die Darstellung, wenn im gegebenen Zeitbereich keine Daten vorliegen. </p> </li> </ul> <div id="dgr" class="diagramGroup"> <table style="border: 1px dotted #b0b0b0; margin-top: 0.6em; background-color: #f8f8f8; position: relative;" width="100%" cellspacing="0"> <tr> <td id="dgr-d1" class="diagram" style="height: 280px;"></td> </tr> <tr> <td> <span style="margin-left: 10px">Rangeslider:</span><input type="checkbox" id="dgr-r1" class="rangeslider" value="1" title="Toggle visibility of range slider" onclick="dgr.toggleRangeSliders('dgr',this)" /> | Shape: <select id="dgr-s1" onchange="let shape = $('#dgr-s1').val(); if (shape == 'Spline') { Plotly.restyle('dgr-d1',{ 'mode': 'lines', 'line.shape': 'spline', }); } else if (shape == 'Linear') { Plotly.restyle('dgr-d1',{ 'mode': 'lines', 'line.shape': 'linear', }); } else if (shape == 'Marker') { Plotly.restyle('dgr-d1',{ 'mode': 'markers', 'marker.color': '#ff0000', }); } else if (shape == 'Quality') { let z = dgr.getZArray(1); Plotly.restyle('dgr-d1',{ mode: 'markers', marker: { color: z, size: 3, symbol: 'circle', }, }); }" title="Connect data points with straight lines, splines or show markers"><option value="Spline" selected="selected">Spline</option><option value="Linear">Linear</option><option value="Marker">Marker</option><option value="Quality">Quality</option></select> | FillArea:<input type="checkbox" id="dgr-f1" style="vertical-align: middle" value="1" checked="checked" title="Toggle colored area above or below graph" onclick="let fill = this.checked? 'tozeroy': 'none'; Plotly.restyle('dgr-d1',{ 'fill': fill, });" /> | <button id="dgr-y1" type="button" onclick="dgr.rescaleY('dgr-d1',-1.9,7.1)" title="Rescale Y axis according to visible data or original state">Scale Y Axis</button> | <button type="button" onclick="let plot = $('#dgr-d1'); Plotly.downloadImage(plot[0],{ format: 'png', width: plot.width(), height: plot.height(), filename: 'AirTemperature', });" title="Download plot graphic as PNG">Download as PNG</button> <div id="dgr-c1" style="position: absolute; bottom: 7px; right: 10px"></div> </td> </tr> </table> <table style="border: 1px dotted #b0b0b0; margin-top: 0.6em; background-color: #f8f8f8; position: relative;" width="100%" cellspacing="0"> <tr> <td id="dgr-d2" class="diagram" style="height: 280px;"></td> </tr> <tr> <td> <span style="margin-left: 10px">Rangeslider:</span><input type="checkbox" id="dgr-r2" class="rangeslider" value="1" title="Toggle visibility of range slider" onclick="dgr.toggleRangeSliders('dgr',this)" /> | Shape: <select id="dgr-s2" onchange="let shape = $('#dgr-s2').val(); if (shape == 'Spline') { Plotly.restyle('dgr-d2',{ 'mode': 'lines', 'line.shape': 'spline', }); } else if (shape == 'Linear') { Plotly.restyle('dgr-d2',{ 'mode': 'lines', 'line.shape': 'linear', }); } else if (shape == 'Marker') { Plotly.restyle('dgr-d2',{ 'mode': 'markers', 'marker.color': '#006400', }); } else if (shape == 'Quality') { let z = dgr.getZArray(2); Plotly.restyle('dgr-d2',{ mode: 'markers', marker: { color: z, size: 3, symbol: 'circle', }, }); }" title="Connect data points with straight lines, splines or show markers"><option value="Spline" selected="selected">Spline</option><option value="Linear">Linear</option><option value="Marker">Marker</option><option value="Quality">Quality</option></select> | FillArea:<input type="checkbox" id="dgr-f2" style="vertical-align: middle" value="1" checked="checked" title="Toggle colored area above or below graph" onclick="let fill = this.checked? 'tozeroy': 'none'; Plotly.restyle('dgr-d2',{ 'fill': fill, });" /> | <button id="dgr-y2" type="button" onclick="dgr.rescaleY('dgr-d2',0,5.7)" title="Rescale Y axis according to visible data or original state">Scale Y Axis</button> | <button type="button" onclick="let plot = $('#dgr-d2'); Plotly.downloadImage(plot[0],{ format: 'png', width: plot.width(), height: plot.height(), filename: 'WindSpeed', });" title="Download plot graphic as PNG">Download as PNG</button> <div id="dgr-c2" style="position: absolute; bottom: 7px; right: 10px"></div> </td> </tr> </table> <table style="border: 1px dotted #b0b0b0; margin-top: 0.6em; background-color: #f8f8f8; position: relative;" width="100%" cellspacing="0"> <tr> <td id="dgr-d3" class="diagram" style="height: 280px;"></td> </tr> <tr> <td> <span style="margin-left: 10px">Rangeslider:</span><input type="checkbox" id="dgr-r3" class="rangeslider" value="1" title="Toggle visibility of range slider" onclick="dgr.toggleRangeSliders('dgr',this)" /> | Shape: <select id="dgr-s3" onchange="let shape = $('#dgr-s3').val(); if (shape == 'Spline') { Plotly.restyle('dgr-d3',{ 'mode': 'lines', 'line.shape': 'spline', }); } else if (shape == 'Linear') { Plotly.restyle('dgr-d3',{ 'mode': 'lines', 'line.shape': 'linear', }); } else if (shape == 'Marker') { Plotly.restyle('dgr-d3',{ 'mode': 'markers', 'marker.color': '#000080', }); } else if (shape == 'Quality') { let z = dgr.getZArray(3); Plotly.restyle('dgr-d3',{ mode: 'markers', marker: { color: z, size: 3, symbol: 'circle', }, }); }" title="Connect data points with straight lines, splines or show markers"><option value="Spline" selected="selected">Spline</option><option value="Linear">Linear</option><option value="Marker">Marker</option><option value="Quality">Quality</option></select> | FillArea:<input type="checkbox" id="dgr-f3" style="vertical-align: middle" value="1" checked="checked" title="Toggle colored area above or below graph" onclick="let fill = this.checked? 'tozeroy': 'none'; Plotly.restyle('dgr-d3',{ 'fill': fill, });" /> | <button id="dgr-y3" type="button" onclick="dgr.rescaleY('dgr-d3',1009.4,1028.4)" title="Rescale Y axis according to visible data or original state">Scale Y Axis</button> | <button type="button" onclick="let plot = $('#dgr-d3'); Plotly.downloadImage(plot[0],{ format: 'png', width: plot.width(), height: plot.height(), filename: 'AirPressure', });" title="Download plot graphic as PNG">Download as PNG</button> <div id="dgr-c3" style="position: absolute; bottom: 7px; right: 10px"></div> </td> </tr> </table> <table style="border: 1px dotted #b0b0b0; margin-top: 0.6em; background-color: #f8f8f8; position: relative;" width="100%" cellspacing="0"> <tr> <td id="dgr-d4" class="diagram" style="height: 280px;"></td> </tr> <tr> <td> <span style="margin-left: 10px">Rangeslider:</span><input type="checkbox" id="dgr-r4" class="rangeslider" value="1" title="Toggle visibility of range slider" onclick="dgr.toggleRangeSliders('dgr',this)" /> | Shape: <select id="dgr-s4" onchange="let shape = $('#dgr-s4').val(); if (shape == 'Spline') { Plotly.restyle('dgr-d4',{ 'mode': 'lines', 'line.shape': 'spline', }); } else if (shape == 'Linear') { Plotly.restyle('dgr-d4',{ 'mode': 'lines', 'line.shape': 'linear', }); } else if (shape == 'Marker') { Plotly.restyle('dgr-d4',{ 'mode': 'markers', 'marker.color': '#ee9a00', }); } else if (shape == 'Quality') { let z = dgr.getZArray(4); Plotly.restyle('dgr-d4',{ mode: 'markers', marker: { color: z, size: 3, symbol: 'circle', }, }); }" title="Connect data points with straight lines, splines or show markers"><option value="Spline" selected="selected">Spline</option><option value="Linear">Linear</option><option value="Marker">Marker</option><option value="Quality">Quality</option></select> | FillArea:<input type="checkbox" id="dgr-f4" style="vertical-align: middle" value="1" checked="checked" title="Toggle colored area above or below graph" onclick="let fill = this.checked? 'tozeroy': 'none'; Plotly.restyle('dgr-d4',{ 'fill': fill, });" /> | <button id="dgr-y4" type="button" onclick="dgr.rescaleY('dgr-d4',63,100)" title="Rescale Y axis according to visible data or original state">Scale Y Axis</button> | <button type="button" onclick="let plot = $('#dgr-d4'); Plotly.downloadImage(plot[0],{ format: 'png', width: plot.width(), height: plot.height(), filename: 'RelativeHumidity', });" title="Download plot graphic as PNG">Download as PNG</button> <div id="dgr-c4" style="position: absolute; bottom: 7px; right: 10px"></div> </td> </tr> </table> <table style="border: 1px dotted #b0b0b0; margin-top: 0.6em; background-color: #f8f8f8; position: relative;" width="100%" cellspacing="0"> <tr> <td id="dgr-d5" class="diagram" style="height: 280px;"></td> </tr> <tr> <td> <span style="margin-left: 10px">Rangeslider:</span><input type="checkbox" id="dgr-r5" class="rangeslider" value="1" title="Toggle visibility of range slider" onclick="dgr.toggleRangeSliders('dgr',this)" /> | Shape: <select id="dgr-s5" onchange="let shape = $('#dgr-s5').val(); if (shape == 'Spline') { Plotly.restyle('dgr-d5',{ 'mode': 'lines', 'line.shape': 'spline', }); } else if (shape == 'Linear') { Plotly.restyle('dgr-d5',{ 'mode': 'lines', 'line.shape': 'linear', }); } else if (shape == 'Marker') { Plotly.restyle('dgr-d5',{ 'mode': 'markers', 'marker.color': '#8b008b', }); } else if (shape == 'Quality') { let z = dgr.getZArray(5); Plotly.restyle('dgr-d5',{ mode: 'markers', marker: { color: z, size: 3, symbol: 'circle', }, }); }" title="Connect data points with straight lines, splines or show markers"><option value="Spline" selected="selected">Spline</option><option value="Linear">Linear</option><option value="Marker">Marker</option><option value="Quality">Quality</option></select> | FillArea:<input type="checkbox" id="dgr-f5" style="vertical-align: middle" value="1" checked="checked" title="Toggle colored area above or below graph" onclick="let fill = this.checked? 'tozeroy': 'none'; Plotly.restyle('dgr-d5',{ 'fill': fill, });" /> | <button id="dgr-y5" type="button" onclick="dgr.rescaleY('dgr-d5',0,1000)" title="Rescale Y axis according to visible data or original state">Scale Y Axis</button> | <button type="button" onclick="let plot = $('#dgr-d5'); Plotly.downloadImage(plot[0],{ format: 'png', width: plot.width(), height: plot.height(), filename: 'GlobalRadiation', });" title="Download plot graphic as PNG">Download as PNG</button> <div id="dgr-c5" style="position: absolute; bottom: 7px; right: 10px"></div> </td> </tr> </table> </div> <script type="text/javascript"> // <![CDATA[ var dgr = (function() { let trace = { type: 'scatter', mode: 'lines', fill: 'tozeroy', fillcolor: '#e0e0e0', line: { width: 1, color: '#ff0000', shape: 'spline', }, marker: { size: 3, color: '#ff0000', symbol: 'circle', }, x: [], y: [], }; let layout = { plot_bgcolor: '#ffffff', paper_bgcolor: '#f8f8f8', title: { font: { color: '#ff0000', size: 16, }, yref: 'container', yanchor: 'top', y: 0.9357, }, spikedistance: -1, height: 280, margin: { t: 48, b: 98, autoexpand: false, }, xaxis: { type: 'date', fixedrange: false, mirror: true, linecolor: '#d0d0d0', gridcolor: '#e8e8e8', hoverformat: '%Y-%m-%d %H:%M:%S', ticklen: 5, tickcolor: '#d0d0d0', tickfont: { size: 11, }, showspikes: true, spikethickness: 1, spikesnap: 'data', spikecolor: '#000000', spikedash: 'dot', rangeslider: { autorange: true, bordercolor: '#e0e0e0', borderwidth: 1, thickness: 0.1866, visible: true, }, title: { font: { size: 13, }, }, zeroline: true, zerolinecolor: '#d0d0d0', }, yaxis: { type: 'linear', fixedrange: true, automargin: true, mirror: true, linecolor: '#d0d0d0', range: [-1,1], ticklen: 4, tickcolor: '#d0d0d0', tickfont: { size: 11, }, gridcolor: '#e8e8e8', showspikes: true, side: 'left', spikethickness: 1, spikesnap: 'data', spikecolor: '#000000', spikedash: 'dot', title: { font: { color: '#ff0000', size: 13, }, }, zeroline: true, zerolinecolor: '#d0d0d0', }, }; let config = { displayModeBar: false, doubleClickDelay: 1000, responsive: true, }; let vars = { height: [280,237], bottomMargin: [98,55], titleY: [0.9357,0.9240], strict: false, zArrays: [], }; let rescaleY = function (dId,yMinOrig,yMaxOrig) { let d = $('#'+dId)[0]; if (d.layout.yaxis.range[0] != yMinOrig || d.layout.yaxis.range[1] != yMaxOrig) { Plotly.relayout(dId,{'yaxis.range': [yMinOrig,yMaxOrig]}); return; }; let x = d.data[0].x; if (x.length == 0) return; let xMin = Number(d.layout.xaxis.range[0]); let xMax = Number(d.layout.xaxis.range[1]); let y = d.data[0].y; let yMin, yMax; for (let i = 0; i < x.length; i++) { if (x[i] >= xMin &&amp; x[i] <= xMax) { if (yMin === undefined || y[i] < yMin) yMin = y[i]; if (yMax === undefined || y[i] > yMax) yMax = y[i]; } } Plotly.relayout(dId,{'yaxis.range': [yMin,yMax]}) }; let setRangeSlider = function (groupId,i,bool) { let dId = groupId+'-d'+i; if (bool) { Plotly.relayout(dId,{ 'xaxis.rangeslider.visible': true, 'xaxis.fixedrange': false, 'height': vars.height[0], 'margin.b': vars.bottomMargin[0], 'title.y': vars.titleY[0], }); $('#'+dId).height(vars.height[0]); } else { Plotly.relayout(dId,{ 'xaxis.rangeslider.visible': false, 'xaxis.fixedrange': true, 'height': vars.height[1], 'margin.b': vars.bottomMargin[1], 'title.y': vars.titleY[1], }); $('#'+dId).height(vars.height[1]); } let cbId = groupId+'-r'+i; $('#'+cbId).prop('checked',bool); let div = $('#'+dId)[0]; if (bool) { div.on('plotly_relayout',function(ed) { if (ed['yaxis.range']) { return; } $('#'+groupId+' '+'.diagram').each(function(j) { if (j+1 != i &&amp; ed['height'] === undefined) { Plotly.relayout(this,ed); } }); }); } }; let toggleRangeSliders = function (groupId,e) { $('#'+groupId+' .diagram').each(function(i) { this.removeAllListeners('plotly_relayout'); }); $('#'+groupId+' .rangeslider').each(function(i) { i++; let state = this == e? this.checked: false; setRangeSlider(groupId,i,state); }); }; let setTrace = function (name,i,trace,layout,shape,x,y,z) { trace.x = x; trace.y = y; if (shape == 'Spline') { trace.mode = 'lines'; trace.line.shape = 'spline'; trace.marker.color = trace.line.color; } else if (shape == 'Linear') { trace.mode = 'lines'; trace.line.shape = 'linear'; trace.marker.color = trace.line.color; } else if (shape == 'Marker') { trace.mode = 'markers'; trace.marker.color = trace.line.color; } else { trace.mode = 'markers'; trace.marker = { color: z, size: 3, symbol: 'circle', } } if (z.length) { vars.zArrays[i-1] = z.slice(); } if (!x.length) { layout.annotations = [{ text: 'No data found', xref: 'paper', yref: 'paper', showarrow: false, font: { size: 28, color: '#a0a0a0', }, }]; setRangeSlider(name,i,false); $('#'+name+'-r'+i).prop('disabled',true); $('#'+name+'-s'+i).prop('disabled',true); $('#'+name+'-y'+i).prop('disabled',true); } let dId = name+'-d'+i; Plotly.deleteTraces(dId,0); Plotly.addTraces(dId,trace); $('#'+name+'-c'+i).html(x.length.toString()+' data points'); return; }; let loadDataSetTrace = function (name,i,trace,layout,shape,url) { $.ajax({ type: 'GET', url: url, async: true, beforeSend: function () { $('body').css('cursor','wait'); }, complete: function () { $('body').css('cursor','default'); }, error: function () { let msg = 'ERROR: Ajax request failed: '+url; if (vars.strict) alert(msg); else console.log(msg); }, success: function (data,textStatus,jqXHR) { let x = []; let y = []; let z = []; let rows = data.split('\n'); for (let i = 0; i < rows.length-1; i++) { let arr = rows[i].split('\t'); x.push(arr[0]); y.push(parseFloat(arr[1])); if (arr.length > 2) z.push(arr[2]); } setTrace(name,i,trace,layout,shape,x,y,z); }, }); }; let generatePlot = function (name,i,title,yTitle,yTitleColor,color,xMin,xMax,yMin,yMax,showRangeSlider,shape,url,x,y,z) { let t = $.extend(true,{},trace); t.line.color = color; t.marker.color = color; let l = $.extend(true,{},layout); l.title.text = title; l.title.font.color = color; l.xaxis.range = [xMin,xMax]; l.yaxis.title.text = yTitle; l.yaxis.title.font.color = yTitleColor; l.yaxis.range = [yMin,yMax]; let dId = name+'-d'+i; Plotly.newPlot(dId,[t],l,config).then( function() { if (url) loadDataSetTrace(name,i,t,l,shape,url); else setTrace(name,i,t,l,shape,x,y,z); }, function() { alert('ERROR: plot creation failed: '+title); } ); setRangeSlider(name,i,showRangeSlider); let d = $('#'+dId)[0]; $(d).data('yMinOrig',yMin); $(d).data('yMaxOrig',yMax); d.on('plotly_doubleclick',function (data) { $('#'+name+' .diagram').each(function(i) { let yMin = $(this).data('yMinOrig'); let yMax = $(this).data('yMaxOrig'); Plotly.relayout(this,{'yaxis.range': [yMin,yMax]}); }); }); }; let getZArray = function (i) { return vars.zArrays[i-1]; }; return { getZArray: getZArray, generatePlot: generatePlot, setRangeSlider: setRangeSlider, toggleRangeSliders: toggleRangeSliders, rescaleY: rescaleY, }; })(); $(function() { dgr.generatePlot('dgr',1,'AirTemperature','°C','#ff0000','#ff0000','2009-02-19 00:00:00','2009-02-24 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dgr.generatePlot('dgr',5,'GlobalRadiation','Watt','#8b008b','#8b008b','2009-02-19 00:00:00','2009-02-24 00:00:00',0,1000,false,'Spline','',[],[],[]); }); // ]]> </script> Mon, 09 Nov 2020 15:48:00 +0100 http://fseitz.de/blog/index.php?/archives/157-guid.html