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27
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我想问一下使用Chart.js http://www.chartjs.org/ 可以吗？获得组合条形图和折线图？
感谢您的任何建议。
最佳答案
编辑 2 如果您想使用该功能，我现在已将此功能添加到我的自定义构建的 Chartjs 中 https://github.com/leighquince/Chart.js唯一的区别是我将其命名为 Overlay 而不是 LineBar，因此使用它只需使用 var myOverlayChart = new Chart(lineBar).Overlay(data); 创建一个图表即可，但其他一切都是相同的。
好的，快速查看一下这是否可能，简短的答案是肯定的，但需要更多的工作才能真正将其集成到图表 js 的构建中。这是一个 fiddle ，显示了它的运行情况，并用折线图和条形图进行比较:http://fiddle.jshell.net/leighking2/898kzyp7/
所以我的解决方案是创建一个名为 LineBar 的新图表类型(本来可以选择扩展选项，但在开始之前我觉得这将需要很多方法重写，所以选择了一个新图表，这也意味着我不必重新声明助手，因为 Chart.helpers 不是一件大事，但在当时已经足够了)。
它的核心是条形图，但它在单独的 lineDataSets 和 barDataSets 变量中跟踪数据集。然后，当它需要绘制/检查事件/使用数据时，它会分别循环其他两个新数据集。
每当循环 lineDataSets 变量时，它都会执行当前折线图的代码，反之亦然的条形图
因此，我将把新图表粘贴到这个答案的底部，因为它非常大，要使用它，请将其复制并粘贴到您自己的 Chart.js 文件底部，或者在您的图表中包含 Chart.js 之后粘贴它。页。
要使用它，您现在可以使用名为 type 的额外选项来声明数据
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
//new option, type will default to bar as that what is used to create the scale
type: "line",
fillColor: "rgba(220,220,220,0.2)",
strokeColor: "rgba(220,220,220,1)",
pointColor: "rgba(220,220,220,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(220,220,220,1)",
data: [65, 59, 4, 81, 56, 55, 40]
}, {
label: "My First dataset",
//new option, type will default to bar as that what is used to create the scale
type: "bar",
fillColor: "rgba(220,20,220,0.2)",
strokeColor: "rgba(220,20,220,1)",
pointColor: "rgba(220,20,220,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(220,220,220,1)",
data: [32, 25, 33, 88, 12, 92, 33]
}]
};
然后创建一个 LineBar 类型的新图表
var lineBar = document.getElementById("line-bar").getContext("2d");
var myLineBarChart = new Chart(lineBar).LineBar(data);
结果
编辑:更新了它，现在它可以使用工具提示和removeData/addData功能。有关这些示例，请参阅 fiddle 。您还可以添加任意数量的数据集(折线图和条形图)，它会将它们全部显示在同一个图表上。
限制 - 如果条形和线条更新，它们各自的部分也必须在这里更新，这不太好，如果条形和线条更新，它们不会中断，这可能意味着它们看起来不一样已更新
这是实际的新图表
//new chart type LineBar - its a bit like bar and line
//were slammed together at high speed, not pretty,
//but they are part of each other now
(function(){
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
var defaultConfig = {
//Function - Whether the current x-axis label should be filtered out, takes in current label and
//index, return true to filter out the label return false to keep the label
labelsFilter : function(label,index){return false;},
//Boolean - Whether the scale should start at zero, or an order of magnitude down from the lowest value
scaleBeginAtZero : true,
//Boolean - Whether grid lines are shown across the chart
scaleShowGridLines : true,
//String - Colour of the grid lines
scaleGridLineColor : "rgba(0,0,0,.05)",
//Number - Width of the grid lines
scaleGridLineWidth : 1,
//Boolean - If there is a stroke on each bar
barShowStroke : true,
//Number - Pixel width of the bar stroke
barStrokeWidth : 2,
//Number - Spacing between each of the X value sets
barValueSpacing : 5,
//Number - Spacing between data sets within X values
barDatasetSpacing : 1,
//Boolean - Whether the line is curved between points
bezierCurve : true,
//Number - Tension of the bezier curve between points
bezierCurveTension : 0.4,
//Boolean - Whether to show a dot for each point
pointDot : true,
//Number - Radius of each point dot in pixels
pointDotRadius : 4,
//Number - Pixel width of point dot stroke
pointDotStrokeWidth : 1,
//Number - amount extra to add to the radius to cater for hit detection outside the drawn point
pointHitDetectionRadius : 20,
//Boolean - Whether to show a stroke for datasets
datasetStroke : true,
//Number - Pixel width of dataset stroke
datasetStrokeWidth : 2,
//Boolean - Whether to fill the dataset with a colour
datasetFill : true,
//String - A legend template
legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].fillColor%>\"></span><%if(datasets[i].label){%><%=datasets[i].label%><%}%></li><%}%></ul>"
};
Chart.Type.extend({
name: "LineBar",
defaults : defaultConfig,
initialize: function(data){
//Expose options as a scope variable here so we can access it in the ScaleClass
var options = this.options;
//two new varibale to hold the different graph types
this.barDatasets = [];
this.lineDatasets = [];
//generate the scale, let bar take control here as he needs the width.
this.ScaleClass = Chart.Scale.extend({
offsetGridLines : true,
calculateBarX : function(datasetCount, datasetIndex, barIndex){
//Reusable method for calculating the xPosition of a given bar based on datasetIndex & width of the bar
var xWidth = this.calculateBaseWidth(),
xAbsolute = this.calculateX(barIndex) - (xWidth/2),
barWidth = this.calculateBarWidth(datasetCount);
return xAbsolute + (barWidth * datasetIndex) + (datasetIndex * options.barDatasetSpacing) + barWidth/2;
},
calculateBaseWidth : function(){
return (this.calculateX(1) - this.calculateX(0)) - (2*options.barValueSpacing);
},
calculateBarWidth : function(datasetCount){
//The padding between datasets is to the right of each bar, providing that there are more than 1 dataset
var baseWidth = this.calculateBaseWidth() - ((datasetCount - 1) * options.barDatasetSpacing);
return (baseWidth / datasetCount);
}
});
//Declare the extension of the default point, to cater for the options passed in to the constructor
this.PointClass = Chart.Point.extend({
strokeWidth : this.options.pointDotStrokeWidth,
radius : this.options.pointDotRadius,
display: this.options.pointDot,
hitDetectionRadius : this.options.pointHitDetectionRadius,
ctx : this.chart.ctx,
inRange : function(mouseX){
return (Math.pow(mouseX-this.x, 2) < Math.pow(this.radius + this.hitDetectionRadius,2));
}
});
this.datasets = [];
//Set up tooltip events on the chart
if (this.options.showTooltips){
helpers.bindEvents(this, this.options.tooltipEvents, function(evt){
var activeData = (evt.type !== 'mouseout') ? this.getDataAtEvent(evt) : [];
this.eachBars(function(bar){
bar.restore(['fillColor', 'strokeColor']);
});
this.eachPoints(function(point){
point.restore(['fillColor', 'strokeColor']);
});
helpers.each(activeData, function(active){
active.fillColor = active.highlightFill;
active.strokeColor = active.highlightStroke;
});
this.showTooltip(activeData);
});
}
//Declare the extension of the default point, to cater for the options passed in to the constructor
this.BarClass = Chart.Rectangle.extend({
strokeWidth : this.options.barStrokeWidth,
showStroke : this.options.barShowStroke,
ctx : this.chart.ctx
});
//Iterate through each of the datasets, and build this into a property of the chart
helpers.each(data.datasets,function(dataset,datasetIndex){
var datasetObject = {
label : dataset.label || null,
fillColor : dataset.fillColor,
strokeColor : dataset.strokeColor,
type: dataset.type,
bars : [],
pointColor : dataset.pointColor,
pointStrokeColor : dataset.pointStrokeColor,
points : []
};
this.datasets.push(datasetObject);
switch(dataset.type)
{
case "line":
this.lineDatasets.push(datasetObject);
helpers.each(dataset.data,function(dataPoint,index){
//Add a new point for each piece of data, passing any required data to draw.
datasetObject.points.push(new this.PointClass({
value : dataPoint,
label : data.labels[index],
datasetLabel: dataset.label,
strokeColor : dataset.pointStrokeColor,
fillColor : dataset.pointColor,
highlightFill : dataset.pointHighlightFill || dataset.pointColor,
highlightStroke : dataset.pointHighlightStroke || dataset.pointStrokeColor
}));
},this);
break;
default:
this.barDatasets.push(datasetObject);
helpers.each(dataset.data,function(dataPoint,index){
//Add a new point for each piece of data, passing any required data to draw.
datasetObject.bars.push(new this.BarClass({
value : dataPoint,
label : data.labels[index],
datasetLabel: dataset.label,
strokeColor : dataset.strokeColor,
fillColor : dataset.fillColor,
highlightFill : dataset.highlightFill || dataset.fillColor,
highlightStroke : dataset.highlightStroke || dataset.strokeColor
}));
},this);
break;
}
},this);
this.buildScale(data.labels);
helpers.each(this.lineDatasets,function(dataset,datasetIndex){
//Iterate through each of the datasets, and build this into a property of the chart
this.eachPoints(function(point, index){
helpers.extend(point, {
x: this.scale.calculateX(index),
y: this.scale.endPoint
});
point.save();
}, this);
},this);
this.BarClass.prototype.base = this.scale.endPoint;
this.eachBars(function(bar, index, datasetIndex){
helpers.extend(bar, {
width : this.scale.calculateBarWidth(this.barDatasets.length),
x: this.scale.calculateBarX(this.barDatasets.length, datasetIndex, index),
y: this.scale.endPoint
});
bar.save();
}, this);
this.render();
},
update : function(){
this.scale.update();
// Reset any highlight colours before updating.
helpers.each(this.activeElements, function(activeElement){
activeElement.restore(['fillColor', 'strokeColor']);
});
this.eachBars(function(bar){
bar.save();
});
this.eachPoints(function(point){
point.save();
});
this.render();
},
eachPoints : function(callback){
//use the lineDataSets
helpers.each(this.lineDatasets,function(dataset){
helpers.each(dataset.points,callback,this);
},this);
},
eachBars : function(callback){
//user the barDataSets
helpers.each(this.barDatasets,function(dataset, datasetIndex){
helpers.each(dataset.bars, callback, this, datasetIndex);
},this);
},
getDataAtEvent : function(e)
{
return this.getPointsAtEvent(e).concat(this.getBarsAtEvent(e));
},
getPointsAtEvent : function(e){
var pointsArray = [],
eventPosition = helpers.getRelativePosition(e);
helpers.each(this.lineDatasets,function(dataset){
helpers.each(dataset.points,function(point){
if (point.inRange(eventPosition.x,eventPosition.y)) pointsArray.push(point);
});
},this);
return pointsArray;
},
getBarsAtEvent : function(e){
var barsArray = [],
eventPosition = helpers.getRelativePosition(e),
datasetIterator = function(dataset){
barsArray.push(dataset.bars[barIndex]);
},
barIndex;
for (var datasetIndex = 0; datasetIndex < this.barDatasets.length; datasetIndex++) {
for (barIndex = 0; barIndex < this.barDatasets[datasetIndex].bars.length; barIndex++) {
if (this.barDatasets[datasetIndex].bars[barIndex].inRange(eventPosition.x,eventPosition.y)){
helpers.each(this.barDatasets, datasetIterator);
return barsArray;
}
}
}
return barsArray;
},
buildScale : function(labels){
var self = this;
var dataTotal = function(){
var values = [];
self.eachBars(function(bar){
values.push(bar.value);
});
return values;
};
var scaleOptions = {
labelsFilter: this.options.labelsFilter,
templateString : this.options.scaleLabel,
height : this.chart.height,
width : this.chart.width,
ctx : this.chart.ctx,
textColor : this.options.scaleFontColor,
fontSize : this.options.scaleFontSize,
fontStyle : this.options.scaleFontStyle,
fontFamily : this.options.scaleFontFamily,
valuesCount : labels.length,
beginAtZero : this.options.scaleBeginAtZero,
integersOnly : this.options.scaleIntegersOnly,
calculateYRange: function(currentHeight){
var updatedRanges = helpers.calculateScaleRange(
dataTotal(),
currentHeight,
this.fontSize,
this.beginAtZero,
this.integersOnly
);
helpers.extend(this, updatedRanges);
},
xLabels : labels,
font : helpers.fontString(this.options.scaleFontSize, this.options.scaleFontStyle, this.options.scaleFontFamily),
lineWidth : this.options.scaleLineWidth,
lineColor : this.options.scaleLineColor,
gridLineWidth : (this.options.scaleShowGridLines) ? this.options.scaleGridLineWidth : 0,
gridLineColor : (this.options.scaleShowGridLines) ? this.options.scaleGridLineColor : "rgba(0,0,0,0)",
padding : (this.options.showScale) ? 0 : (this.options.barShowStroke) ? this.options.barStrokeWidth : 0,
showLabels : this.options.scaleShowLabels,
display : this.options.showScale
};
if (this.options.scaleOverride){
helpers.extend(scaleOptions, {
calculateYRange: helpers.noop,
steps: this.options.scaleSteps,
stepValue: this.options.scaleStepWidth,
min: this.options.scaleStartValue,
max: this.options.scaleStartValue + (this.options.scaleSteps * this.options.scaleStepWidth)
});
}
this.scale = new this.ScaleClass(scaleOptions);
},
addData : function(valuesArray,label){
//Map the values array for each of the datasets
var lineDataSetIndex = 0;
var barDataSetIndex = 0;
helpers.each(valuesArray,function(value,datasetIndex){
switch(this.datasets[datasetIndex].type)
{
case "line":
//Add a new point for each piece of data, passing any required data to draw.
this.lineDatasets[lineDataSetIndex].points.push(new this.PointClass({
value : value,
label : label,
x: this.scale.calculateX(this.scale.valuesCount+1),
y: this.scale.endPoint,
strokeColor : this.lineDatasets[lineDataSetIndex].pointStrokeColor,
fillColor : this.lineDatasets[lineDataSetIndex].pointColor
}));
lineDataSetIndex++;
break;
default:
//Add a new point for each piece of data, passing any required data to draw.
this.barDatasets[barDataSetIndex].bars.push(new this.BarClass({
value : value,
label : label,
x: this.scale.calculateBarX(this.barDatasets.length, barDataSetIndex, this.scale.valuesCount+1),
y: this.scale.endPoint,
width : this.scale.calculateBarWidth(this.barDatasets.length),
base : this.scale.endPoint,
strokeColor : this.barDatasets[barDataSetIndex].strokeColor,
fillColor : this.barDatasets[barDataSetIndex].fillColor
}));
barDataSetIndex++;
break;
}
},this);
this.scale.addXLabel(label);
//Then re-render the chart.
this.update();
},
removeData : function(){
this.scale.removeXLabel();
//Then re-render the chart.
helpers.each(this.barDatasets,function(dataset){
dataset.bars.shift();
},this);
helpers.each(this.lineDatasets,function(dataset){
dataset.points.shift();
},this);
this.update();
},
reflow : function(){
helpers.extend(this.BarClass.prototype,{
y: this.scale.endPoint,
base : this.scale.endPoint
});
var newScaleProps = helpers.extend({
height : this.chart.height,
width : this.chart.width
});
this.scale.update(newScaleProps);
},
draw : function(ease){
var easingDecimal = ease || 1;
this.clear();
var ctx = this.chart.ctx;
// Some helper methods for getting the next/prev points
var hasValue = function(item){
return item.value !== null;
},
nextPoint = function(point, collection, index){
return helpers.findNextWhere(collection, hasValue, index) || point;
},
previousPoint = function(point, collection, index){
return helpers.findPreviousWhere(collection, hasValue, index) || point;
};
this.scale.draw(easingDecimal);
//Draw all the bars for each dataset
helpers.each(this.lineDatasets,function(dataset,datasetIndex){
var pointsWithValues = helpers.where(dataset.points, hasValue);
//Transition each point first so that the line and point drawing isn't out of sync
//We can use this extra loop to calculate the control points of this dataset also in this loop
helpers.each(dataset.points, function(point, index){
if (point.hasValue()){
point.transition({
y : this.scale.calculateY(point.value),
x : this.scale.calculateX(index)
}, easingDecimal);
}
},this);
// Control points need to be calculated in a seperate loop, because we need to know the current x/y of the point
// This would cause issues when there is no animation, because the y of the next point would be 0, so beziers would be skewed
if (this.options.bezierCurve){
helpers.each(pointsWithValues, function(point, index){
var tension = (index > 0 && index < pointsWithValues.length - 1) ? this.options.bezierCurveTension : 0;
point.controlPoints = helpers.splineCurve(
previousPoint(point, pointsWithValues, index),
point,
nextPoint(point, pointsWithValues, index),
tension
);
// Prevent the bezier going outside of the bounds of the graph
// Cap puter bezier handles to the upper/lower scale bounds
if (point.controlPoints.outer.y > this.scale.endPoint){
point.controlPoints.outer.y = this.scale.endPoint;
}
else if (point.controlPoints.outer.y < this.scale.startPoint){
point.controlPoints.outer.y = this.scale.startPoint;
}
// Cap inner bezier handles to the upper/lower scale bounds
if (point.controlPoints.inner.y > this.scale.endPoint){
point.controlPoints.inner.y = this.scale.endPoint;
}
else if (point.controlPoints.inner.y < this.scale.startPoint){
point.controlPoints.inner.y = this.scale.startPoint;
}
},this);
}
//Draw the line between all the points
ctx.lineWidth = this.options.datasetStrokeWidth;
ctx.strokeStyle = dataset.strokeColor;
ctx.beginPath();
helpers.each(pointsWithValues, function(point, index){
if (index === 0){
ctx.moveTo(point.x, point.y);
}
else{
if(this.options.bezierCurve){
var previous = previousPoint(point, pointsWithValues, index);
ctx.bezierCurveTo(
previous.controlPoints.outer.x,
previous.controlPoints.outer.y,
point.controlPoints.inner.x,
point.controlPoints.inner.y,
point.x,
point.y
);
}
else{
ctx.lineTo(point.x,point.y);
}
}
}, this);
ctx.stroke();
if (this.options.datasetFill && pointsWithValues.length > 0){
//Round off the line by going to the base of the chart, back to the start, then fill.
ctx.lineTo(pointsWithValues[pointsWithValues.length - 1].x, this.scale.endPoint);
ctx.lineTo(pointsWithValues[0].x, this.scale.endPoint);
ctx.fillStyle = dataset.fillColor;
ctx.closePath();
ctx.fill();
}
//Now draw the points over the line
//A little inefficient double looping, but better than the line
//lagging behind the point positions
helpers.each(pointsWithValues,function(point){
point.draw();
});
},this);
helpers.each(this.barDatasets,function(dataset,datasetIndex){
helpers.each(dataset.bars,function(bar,index){
if (bar.hasValue()){
bar.base = this.scale.endPoint;
//Transition then draw
bar.transition({
x : this.scale.calculateBarX(this.barDatasets.length, datasetIndex, index),
y : this.scale.calculateY(bar.value),
width : this.scale.calculateBarWidth(this.barDatasets.length)
}, easingDecimal).draw();
}
},this);
},this);
},
showTooltip : function(ChartElements, forceRedraw){
// Only redraw the chart if we've actually changed what we're hovering on.
if (typeof this.activeElements === 'undefined') this.activeElements = [];
var isChanged = (function(Elements){
var changed = false;
if (Elements.length !== this.activeElements.length){
changed = true;
return changed;
}
helpers.each(Elements, function(element, index){
if (element !== this.activeElements[index]){
changed = true;
}
}, this);
return changed;
}).call(this, ChartElements);
if (!isChanged && !forceRedraw){
return;
}
else{
this.activeElements = ChartElements;
}
this.draw();
if (ChartElements.length > 0){
// If we have multiple datasets, show a MultiTooltip for all of the data points at that index
if (this.datasets && this.datasets.length > 1) {
var dataArray,
dataIndex;
for (var i = this.lineDatasets.length - 1; i >= 0; i--) {
dataArray = this.datasets[i].points;
dataIndex = helpers.indexOf(dataArray, ChartElements[0]);
if (dataIndex !== -1){
break;
}
}
if(dataIndex === -1)
{
for (i = this.barDatasets.length - 1; i >= 0; i--) {
dataArray = this.datasets[i].bars;
dataIndex = helpers.indexOf(dataArray, ChartElements[0]);
if (dataIndex !== -1){
break;
}
}
}
var tooltipLabels = [],
tooltipColors = [],
medianPosition = (function(index) {
// Get all the points at that particular index
var Elements = [],
dataCollection,
xPositions = [],
yPositions = [],
xMax,
yMax,
xMin,
yMin;
helpers.each(this.lineDatasets, function(dataset){
dataCollection = dataset.points;
if (dataCollection[dataIndex] && dataCollection[dataIndex].hasValue()){
Elements.push(dataCollection[dataIndex]);
}
});
helpers.each(this.barDatasets, function(dataset){
dataCollection = dataset.bars;
if (dataCollection[dataIndex] && dataCollection[dataIndex].hasValue()){
Elements.push(dataCollection[dataIndex]);
}
});
helpers.each(Elements, function(element) {
xPositions.push(element.x);
yPositions.push(element.y);
//Include any colour information about the element
tooltipLabels.push(helpers.template(this.options.multiTooltipTemplate, element));
tooltipColors.push({
fill: element._saved.fillColor || element.fillColor,
stroke: element._saved.strokeColor || element.strokeColor
});
}, this);
yMin = helpers.min(yPositions);
yMax = helpers.max(yPositions);
xMin = helpers.min(xPositions);
xMax = helpers.max(xPositions);
return {
x: (xMin > this.chart.width/2) ? xMin : xMax,
y: (yMin + yMax)/2
};
}).call(this, dataIndex);
new Chart.MultiTooltip({
x: medianPosition.x,
y: medianPosition.y,
xPadding: this.options.tooltipXPadding,
yPadding: this.options.tooltipYPadding,
xOffset: this.options.tooltipXOffset,
fillColor: this.options.tooltipFillColor,
textColor: this.options.tooltipFontColor,
fontFamily: this.options.tooltipFontFamily,
fontStyle: this.options.tooltipFontStyle,
fontSize: this.options.tooltipFontSize,
titleTextColor: this.options.tooltipTitleFontColor,
titleFontFamily: this.options.tooltipTitleFontFamily,
titleFontStyle: this.options.tooltipTitleFontStyle,
titleFontSize: this.options.tooltipTitleFontSize,
cornerRadius: this.options.tooltipCornerRadius,
labels: tooltipLabels,
legendColors: tooltipColors,
legendColorBackground : this.options.multiTooltipKeyBackground,
title: ChartElements[0].label,
chart: this.chart,
ctx: this.chart.ctx
}).draw();
} else {
each(ChartElements, function(Element) {
var tooltipPosition = Element.tooltipPosition();
new Chart.Tooltip({
x: Math.round(tooltipPosition.x),
y: Math.round(tooltipPosition.y),
xPadding: this.options.tooltipXPadding,
yPadding: this.options.tooltipYPadding,
fillColor: this.options.tooltipFillColor,
textColor: this.options.tooltipFontColor,
fontFamily: this.options.tooltipFontFamily,
fontStyle: this.options.tooltipFontStyle,
fontSize: this.options.tooltipFontSize,
caretHeight: this.options.tooltipCaretSize,
cornerRadius: this.options.tooltipCornerRadius,
text: template(this.options.tooltipTemplate, Element),
chart: this.chart
}).draw();
}, this);
}
}
return this;
},
});
}).call(this);
//here ends the LineBar
关于charts - Chart.js如何获得组合条形图和折线图？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/25811425/
27
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我想在我的 android 应用程序中实现一个反馈/评级图表。(就像当你打开 google play 并检查应用程序的反馈时，有一个来自投票它的用户的彩色图表)任何人都可以帮助我如何开始那个？感谢您提
我正在尝试使用 LaTeX 制作条形图。到目前为止我一直不成功，所以任何人都可以帮助我，也许是最近项目的副本？如何使用 pstricks 制作条形图？我会很感激最简单的解决方案，因为我最近才开始使用
我有一个包含 6 个事件及其发生时间跨度的 csv 表。我的变量是开始日期、结束日期和事件 ID。我打算创建一个水平直方图/条形图可视化来显示时间范围，即某些类型的事件持续了多长时间。 X 轴应该有多
我想制作可以指定条形最小值的条形图(很像盒须图中的盒子)。条形图可以做到吗？我怀疑答案在 ggplot 中，但我找不到示例。 这是一些数据: X Jan F
我想使用以下数据来创建可视化: > dput(data) structure(c(1264L, 2190L, 2601L, 1441L, 1129L, 2552L, 1820L, 306L,
我有一个包含正值和负值的数据框。我想显示一个显示两个条形的条形图，一个条形显示正值的百分比，另一个条形图显示负值的百分比。 dummy = pd.DataFrame({'A' : [-4, -3, -
我正在尝试在栏中插入自定义文本，我搜索了很多线程，但仍然没有得到任何解决方案。然后我想减小 y 轴的步长。我已附上我的代码。 jQuery( document ).ready(function() {
我正在使用 pandas 来创建条形图。这是一个例子: df=pd.DataFrame(np.random.rand(10, 4), columns=['a', 'b', 'c', 'd']) df.
我想在python中制作一个分类图来表示几个变量的范围。我想也许我会使用条形图并为条形设置范围。这是我的条形图 import matplotlib.pyplot as plt import numpy
我有一个显示 3 个条形的堆叠百分比条形图。 JSFiddle:https://jsfiddle.net/Lr0bszj6/ 由于某种原因，条形之间有很多空间并且没有与标签对齐(只有中间一个)。 设置
我正在尝试使用 aChartEngine 将 GPS 数据(正在查看或正在使用的卫星)显示为条形图，但我没有在此 View 中显示任何数据。这是我的代码，所以你能告诉我我犯了什么错误吗？ public
我正在使用 this chart implementation . 但是，它分散了我的数据，而不是相互堆叠。 我想在 1970 年堆叠我的第一个数组，在 1975 年堆叠第二个数组。换句话说，我希望有
我正在尝试用不同颜色为条形图中的各个条形着色，比如蓝色表示正，红色表示负。我在互联网上找不到任何有用的东西。我在下面的代码中发现每个条形图都根据第一个条形图的值着色，而不是为每个条形图单独设置颜色:
我刚刚转移到 pandas 0.20/matplotlib 2.0 python 3.6。 (共构成以下版本)。我用 pandas 来绘制条形图，因为 matplotlib 的级别总是太低。着色列的行
我正在尝试制作一个图，其中 x 轴是时间，y 轴是一个条形图，其中的条形图覆盖特定时间段，如下所示: ______________
我有一些非常基本的代码，它可以正常工作，除了所有内容都与顶部对齐...理想情况下，条形图应与底部对齐。我想我可以使用固定定位，因为尺寸是 50px x 50px 的平方，但我更喜欢“固定”少一点的东西
这是我用来 Dim ejex As String, ejey As String Dim graficos As String Worksheets("Sheet1").Activate ejex =
我有一个生成如下条形图的 gnuplot 脚本: 输入数据位于具有多列的文件中，每一列最终都构成图表中的一个集群(示例中显示了 2 个集群)。每个文件都构成图表中的一个条形(示例中有 9 个)。每个文
我正在为我的数据 movies 使用库 ggplot2movies 请记住，我指的是 mpaa 评级和用户评级，这是两个不同的事物。如果您不想加载 ggplot2movies 库，这里是相关数据的示例
有没有一种简单的方法可以使用Pandas DataFrame.plot(kind='bar')方法按列名指定条形颜色？ 我有一个脚本，可以从目录中的几个不同数据文件生成多个DataFrame。例如，它
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