(function () { 'use strict'; // The following colors will be used if you pick "Automatic" color. var BaseColors = { 'Blue': '#4572A7', 'Red': '#AA4643', 'Green': '#89A54E', 'Purple': '#80699B', 'Cyan': '#3D96AE', 'Orange': '#DB843D', 'Light Blue': '#92A8CD', 'Lilac': '#A47D7C', 'Light Green': '#B5CA92', 'Brown': '#A52A2A', 'Black': '#000000', 'Gray': '#808080', 'Pink': '#FFC0CB', 'Dark Blue': '#00008b' } // Additional colors for the user to choose from: var ColorPalette = _.extend({}, BaseColors, { 'Indian Red': '#F8766D', 'Green 2': '#53B400', 'Green 3': '#00C094', 'DarkTurquoise': '#00B6EB', 'Dark Violet': '#A58AFF', 'Pink 2' : '#FB61D7' }); var ColorPaletteArray = _.values(BaseColors); var fillXValues = function(seriesList) { var xValues = _.sortBy(_.union.apply(_, _.pluck(seriesList, 'x')), _.identity); _.each(seriesList, function(series) { series.x = _.sortBy(series.x, _.identity); _.each(xValues, function(value, index) { if (series.x[index] !== value) { series.x.splice(index, 0, value); series.y.splice(index, 0, null); } }); }); }; var normalAreaStacking = function(seriesList) { fillXValues(seriesList); _.each(seriesList, function(series) { series.text = []; series.hoverinfo = 'text+name'; }); for (var i = 0; i < seriesList.length; i++) { for (var j = 0; j < seriesList[i].y.length; j++) { var sum = i > 0 ? seriesList[i-1].y[j] : 0; seriesList[i].text.push('Value: ' + seriesList[i].y[j] + '
Sum: ' + (sum + seriesList[i].y[j])); seriesList[i].y[j] += sum; } } }; var percentAreaStacking = function(seriesList) { if (seriesList.length === 0) { return; } fillXValues(seriesList); _.each(seriesList, function(series) { series.text = []; series.hoverinfo = 'text+name'; }); for (var i = 0; i < seriesList[0].y.length; i++) { var sum = 0; for(var j = 0; j < seriesList.length; j++) { sum += seriesList[j].y[i]; } for(var j = 0; j < seriesList.length; j++) { var value = seriesList[j].y[i] / sum * 100; seriesList[j].text.push('Value: ' + seriesList[j].y[i] + '
Relative: ' + value.toFixed(2) + '%'); seriesList[j].y[i] = value; if (j > 0) { seriesList[j].y[i] += seriesList[j-1].y[i]; } } } }; var percentBarStacking = function(seriesList) { if (seriesList.length === 0) { return; } fillXValues(seriesList); _.each(seriesList, function(series) { series.text = []; series.hoverinfo = 'text+name'; }); for (var i = 0; i < seriesList[0].y.length; i++) { var sum = 0; for(var j = 0; j < seriesList.length; j++) { sum += seriesList[j].y[i]; } for(var j = 0; j < seriesList.length; j++) { var value = seriesList[j].y[i] / sum * 100; seriesList[j].text.push('Value: ' + seriesList[j].y[i] + '
Relative: ' + value.toFixed(2) + '%'); seriesList[j].y[i] = value; } } } var normalizeValue = function(value) { if (moment.isMoment(value)) { return value.format("YYYY-MM-DD HH:mm:ss"); } return value; } angular.module('plotly', []) .constant('ColorPalette', ColorPalette) .directive('plotlyChart', function () { var bottomMargin = 50; return { restrict: 'E', template: '
', scope: { options: "=", series: "=", height: "=" }, link: function (scope, element) { var getScaleType = function(scale) { if (scale === 'datetime') { return 'date'; } if (scale === 'logarithmic') { return 'log'; } return scale; }; var setType = function(series, type) { if (type === 'column') { series.type = 'bar'; } else if (type === 'line') { series.mode = 'lines'; } else if (type === 'area') { series.fill = scope.options.series.stacking === null ? 'tozeroy' : 'tonexty'; series.mode = 'lines'; } else if (type === 'scatter') { series.type = 'scatter'; series.mode = 'markers'; } }; var getColor = function(index) { return ColorPaletteArray[index % ColorPaletteArray.length]; }; var recalculateOptions = function() { scope.data.length = 0; scope.layout.showlegend = _.has(scope.options, 'legend') ? scope.options.legend.enabled : true; if(_.has(scope.options, 'bottomMargin')) { bottomMargin = parseInt(scope.options.bottomMargin); scope.layout.margin.b = bottomMargin; } delete scope.layout.barmode; delete scope.layout.xaxis; delete scope.layout.yaxis; delete scope.layout.yaxis2; if (scope.options.globalSeriesType === 'pie') { var hasX = _.contains(_.values(scope.options.columnMapping), 'x'); var rows = scope.series.length > 2 ? 2 : 1; var cellsInRow = Math.ceil(scope.series.length / rows); var cellWidth = 1 / cellsInRow; var cellHeight = 1 / rows; var xPadding = 0.02; var yPadding = 0.05; _.each(scope.series, function(series, index) { var xPosition = (index % cellsInRow) * cellWidth; var yPosition = Math.floor(index / cellsInRow) * cellHeight; var plotlySeries = {values: [], labels: [], type: 'pie', hole: .4, marker: {colors: ColorPaletteArray}, text: series.name, textposition: 'inside', name: series.name, domain: {x: [xPosition, xPosition + cellWidth - xPadding], y: [yPosition, yPosition + cellHeight - yPadding]}}; _.each(series.data, function(row, index) { plotlySeries.values.push(row.y); plotlySeries.labels.push(hasX ? row.x : 'Slice ' + index); }); scope.data.push(plotlySeries); }); return; } var hasY2 = false; var sortX = scope.options.sortX === true || scope.options.sortX === undefined; var useUnifiedXaxis = sortX && scope.options.xAxis.type === 'category'; var unifiedX = null; if (useUnifiedXaxis) { unifiedX = _.sortBy(_.union.apply(_, _.map(scope.series, function(s) { return _.pluck(s.data, 'x'); })), _.identity); } _.each(scope.series, function(series, index) { var seriesOptions = scope.options.seriesOptions[series.name] || {type: scope.options.globalSeriesType}; var plotlySeries = {x: [], y: [], name: seriesOptions.name || series.name, marker: {color: seriesOptions.color ? seriesOptions.color : getColor(index)}}; if (seriesOptions.yAxis === 1 && (scope.options.series.stacking === null || seriesOptions.type === 'line')) { hasY2 = true; plotlySeries.yaxis = 'y2'; } setType(plotlySeries, seriesOptions.type); var data = series.data; if (sortX) { data = _.sortBy(data, 'x'); } if (useUnifiedXaxis && index === 0) { var values = {}; _.each(data, function(row) { values[row.x] = row.y; }); _.each(unifiedX, function(x) { plotlySeries.x.push(normalizeValue(x)); plotlySeries.y.push(normalizeValue(values[x] || null)); }); } else { _.each(data, function(row) { plotlySeries.x.push(normalizeValue(row.x)); plotlySeries.y.push(normalizeValue(row.y)); }); } scope.data.push(plotlySeries); }); var getTitle = function(axis) { if (angular.isDefined(axis) && angular.isDefined(axis.title)) { return axis.title.text; } return null; }; scope.layout.xaxis = {title: getTitle(scope.options.xAxis), type: getScaleType(scope.options.xAxis.type)}; if (angular.isDefined(scope.options.xAxis.labels)) { scope.layout.xaxis.showticklabels = scope.options.xAxis.labels.enabled; } if (angular.isArray(scope.options.yAxis)) { scope.layout.yaxis = {title: getTitle(scope.options.yAxis[0]), type: getScaleType(scope.options.yAxis[0].type)}; } if (hasY2 && angular.isDefined(scope.options.yAxis)) { scope.layout.yaxis2 = {title: getTitle(scope.options.yAxis[1]), type: getScaleType(scope.options.yAxis[1].type), overlaying: 'y', side: 'right'}; } else { delete scope.layout.yaxis2; } if (scope.options.series.stacking === 'normal') { scope.layout.barmode = 'stack'; if (scope.options.globalSeriesType === 'area') { normalAreaStacking(scope.data); } } else if (scope.options.series.stacking === 'percent') { scope.layout.barmode = 'stack'; if (scope.options.globalSeriesType === 'area') { percentAreaStacking(scope.data); } else if (scope.options.globalSeriesType === 'column') { percentBarStacking(scope.data); } } }; scope.$watch('series', recalculateOptions); scope.$watch('options', recalculateOptions, true); scope.layout = {margin: {l: 50, r: 50, b: bottomMargin, t: 20, pad: 4}, autosize: true, hovermode: 'closest'}; scope.plotlyOptions = {showLink: false, displaylogo: false}; scope.data = []; var element = element[0].children[0]; Plotly.newPlot(element, scope.data, scope.layout, scope.plotlyOptions); scope.$watch('layout', function (layout, old) { if (angular.equals(layout, old)) { return; } Plotly.relayout(element, layout); }, true); scope.$watch('data', function (data, old) { if (!_.isEmpty(data)) { Plotly.redraw(element); } }, true); } }; }); })();