问题描述
我想用
如何禁用重叠？
剩下的第二个问题如下：行数据和条形数据不总是匹配。这意味着：如果我有一个08:00的行数据条目，这并不意味着08:00有一个条形数据条目。另一种方式相同：如果有一个12点的条形数据，这并不意味着12点的线数据匹配。行数据可以有X个数据条目，条形数据可以有Y个数据条目。为此，我为行数据创建了x和y值：
entryMeasuresArray.forEach（function（entry）{
var entryPair = entry.split（，）;
var date = parseFloat（entryPair [0]）;
var value = entryPair [1];
var data = {
x：moment（date）.format（HH：mm），
y：entryPair [1]
}
result.push（data）;
}）;
这对于行数据非常有效。但不幸的是，我无法找到条形数据的这种选择。条形数据不接受x和y值，它只接受y值：
entryInsulinsArray.forEach（function（entry） {
var entryPair = entry.split（，）;
var date = parseFloat（entryPair [0]）;
var value = entryPair [1];
var data = {
x：moment（date）.format（HH：mm），
y：entryPair [1]
}
result.push （entryPair [1]）;
}）;
那么如何定义条形数据的x和y值，因为我可以定义它们对于行数据？
EIDT
我正在使用最新版本2.1.6
编辑2
这里a 演示问题
第一个问题：
如何禁用重叠？
xAxes：[{
position：bottom，
// type：time，//擦除此行
时间： {
单位：小时，
格式：HH：mm，
tooltipFormat：HH：mm，
displayFormats：{
小时：HH ：mm，
日：HH：mm，
周：HH：mm，
月：HH：mm，
四分之一：HH：mm ，
年：HH：mm
}
}
}]，
在XAx中擦除行类型：time，此选项意味着图表必须从零开始，没有保证金。
第二个问题：
我认为表示数据的最佳方式是：
var data = [
{x：08：00，y_line：110，y_bar：30}，
{ x：09:00，y_line：120，y_bar：35}，
{x：10:00，y_line：130，y_bar：null}，
{ x：11：00，y_line：140，y_bar：45}
];
使用此表示形式，您强制每个时间有两个测量值，一个用于条形，一个用于可以具有数值或 null 值的行。
然后使用某些函数可以得到集合：
function getLine（）{
var arr = [];
data.forEach（function（entry）{
var data = {x：entry.x，y：entry.y_line}
arr.push（data）;
}） ;
返回arr;
}
函数getBar（）{
var arr = [];
data.forEach（function（entry）{
arr.push（entry.y_bar）;
}）;
返回arr;
}
函数getLabels（）{
var arr = [];
data.forEach（function（entry）{
arr.push（entry.x）;
}）;
返回arr;
}
然后你在配置中引入这样的值：
{
类型：bar，
标签：labelInsulin，
backgroundColor：＃239471，
borderCapStyle：butt，
borderJoinStyle：miter，
borderColor：＃239471，
data：getBar（），//喜欢这个
yAxisID： y轴-1
}
如果bar具有值 null 它不会出现。并且因为bar具有与line相同数量的元素，所以它们总是匹配。
I want to create a Chart with Chart.js containing two different datasets: One Line Data Set and one Bar Data Set.
You can see my whole code for that here:
/**
*
*/
function initCombinedChart() {
/**
*
*/
$("canvas").each(function() {
var config = getConfigCombined($(this).attr("id"));
var context = $(this);
var combined = new Chart(context, config);
});
}
/**
*
* @param id
* @returns {___anonymous464_473}
*/
function getConfigCombined(id) {
var currentId = id;
var currentIdNumber = currentId.substring((currentId.lastIndexOf("_") + 1), currentId.length);
var entry = $("#" + id).data("entry");
var labelMeasure = $("#evaluations_combined_measures").data("txt");
var labelInsulin = $("#evaluations_combined_insulins").data("txt");
var datasetLine = dataCombinedLine(labelMeasure, entry);
var datasetCombined = dataCombinedBar(labelInsulin, entry);
var config = {
type: "bar",
data: {
labels: labelsFromEntry(entry),
datasets: []
},
options: {
responsive: true,
title: {
display: false
},
legend: {
position: "bottom"
},
scales: {
xAxes: [{
position: "bottom",
type: "time",
time: {
unit: "hour",
format: "HH:mm",
tooltipFormat: "HH:mm",
displayFormats: {
hour: "HH:mm",
day: "HH:mm",
week: "HH:mm",
month: "HH:mm",
quarter: "HH:mm",
year: "HH:mm"
}
},
gridLines : {
display : false
}
}],
yAxes: [{
type: "linear",
display: true,
position: "left",
id: "y-axis-0",
gridLines: {
show: true,
}
}, {
type: "linear",
display: true,
position: "right",
id: "y-axis-1",
gridLines: {
show: false
}
}]
},
}
}
if (datasetLine != null) {
config.data.datasets.push(datasetLine);
}
if (datasetCombined != null) {
config.data.datasets.push(datasetCombined);
}
return config;
}
/**
*
* @param entry
* @returns {Array}
*/
function labelsFromEntry(entry) {
var result = [];
var entryCombined;
var entryMeasure;
var entryInsulin;
if (entry.indexOf("-") >= 0) {
entryCombined = entry.split("-");
entryMeasure = entryCombined[0];
entryInsulin = entryCombined[1];
} else {
entryMeasure = entry;
entryInsulin = "";
}
var entryMeasureArray = entryMeasure.split(";");
var entryInsulinArray = entryInsulin.split(";");
entryMeasureArray.forEach(function(entry) {
var entryPair = entry.split(",");
var date = parseFloat(entryPair[0]);
var dateFormat = moment(date).format("HH:mm");
if (!result.includes(dateFormat)) {
result.push(dateFormat);
}
});
entryInsulinArray.forEach(function(entry) {
var entryPair = entry.split(",");
var date = parseFloat(entryPair[0]);
var dateFormat = moment(date).format("HH:mm");
if (!result.includes(dateFormat)) {
result.push(dateFormat);
}
});
return result;
}
/**
*
* @param label
* @param entry
* @returns {___anonymous3118_3127}
*/
function dataCombinedLine(label, entry) {
var dataset = {
type: "line",
label: label,
lineTension: 0,
backgroundColor: "#4078A7",
borderCapStyle: "butt",
borderJoinStyle: "miter",
borderColor: "#4078A7",
pointRadius: 5,
pointBorderColor: "#4078A7",
pointBackgroundColor: "#FFFFFF",
pointBorderWidth: 3,
pointHoverRadius: 5,
pointHoverBackgroundColor: "#FFFFFF",
pointHoverBorderWidth: 3,
pointHitRadius: 5,
data: dataCombinedLineFromEntries(entry),
yAxisID : "y-axis-0",
fill: false
}
return dataset;
}
/**
*
* @param label
* @param entry
* @returns {___anonymous3299_3308}
*/
function dataCombinedBar(label, entry) {
var dataset = {
type: "bar",
label: label,
backgroundColor: "#239471",
borderCapStyle: "butt",
borderJoinStyle: "miter",
borderColor: "#239471",
data: dataCombinedBarFromEntries(entry),
yAxisID : "y-axis-1"
}
return dataset;
}
/**
*
* @param entry
* @returns {Array}
*/
function dataCombinedLineFromEntries(entry) {
var result = [];
var entryMeasures = entry.split("-")[0];
var entryMeasuresArray = entryMeasures.split(";");
entryMeasuresArray.forEach(function(entry) {
var entryPair = entry.split(",");
var date = parseFloat(entryPair[0]);
var value = entryPair[1];
var data = {
x: moment(date).format("HH:mm"),
y: entryPair[1]
}
result.push(data);
});
return result;
}
/**
*
* @param entry
* @returns {Array}
*/
function dataCombinedBarFromEntries(entry) {
var result = [];
if (entry.indexOf("-") >= 0) {
var entryInsulins = entry.split("-")[1];
var entryInsulinsArray = entryInsulins.split(";");
entryInsulinsArray.forEach(function(entry) {
var entryPair = entry.split(",");
var date = parseFloat(entryPair[0]);
var value = entryPair[1];
var data = {
x: moment(date).format("HH:mm"),
y: entryPair[1]
}
result.push(entryPair[1]);
});
}
return result;
}
With this code i managed to put both datasets into one chart, but there are two problems left. The first problem is that the first and the last bar are overlapping with the yAxis:
How can I disable the overlap?
The second problem remaining is the following: The line data and the bar data arent always matching. That means: If i have a line data entry for 08:00 o'clock that does not mean that there is a bar data entry for 08:00 o'clock. Same counts the other way: if there is a bar data for 12:00 o'clock it does not mean that there is a line data matching for 12:00 o'clock. There can be X data entries for the line data but Y data entries for the bar data. For that i created x and y values for the line data:
entryMeasuresArray.forEach(function(entry) {
var entryPair = entry.split(",");
var date = parseFloat(entryPair[0]);
var value = entryPair[1];
var data = {
x: moment(date).format("HH:mm"),
y: entryPair[1]
}
result.push(data);
});
This is working perfectly for the line data. But unfortunately i could not find such an option for the bar data. The bar data does not accept x and y values, it only accepts the y value:
entryInsulinsArray.forEach(function(entry) {
var entryPair = entry.split(",");
var date = parseFloat(entryPair[0]);
var value = entryPair[1];
var data = {
x: moment(date).format("HH:mm"),
y: entryPair[1]
}
result.push(entryPair[1]);
});
So how can i define x and y values for the bar data as i can define them for the line data?
EIDT
Im using the latest version 2.1.6
EDIT 2
Here a JSFiddle to demonstrate the problems
For the first problem :
How can I disable the overlap?
xAxes: [{
position: "bottom",
//type: "time", // erase this line
time: {
unit: "hour",
format: "HH:mm",
tooltipFormat: "HH:mm",
displayFormats: {
hour: "HH:mm",
day: "HH:mm",
week: "HH:mm",
month: "HH:mm",
quarter: "HH:mm",
year: "HH:mm"
}
}
}],
In the XAxes erase the line type: "time", this option imply that the graph has to start in zero without margin.
The second problem:
I think the best way to represent your data:
var data = [
{ x: "08:00", y_line: "110", y_bar: "30"},
{ x: "09:00", y_line: "120", y_bar: "35"},
{ x: "10:00", y_line: "130", y_bar: null},
{ x: "11:00", y_line: "140", y_bar: 45}
];
With this representation you force that each "time" has two measurements, one for the bar and one for the line that can have a numerical value or a null value.
Then with some functions you can get the sets:
function getLine(){
var arr = [];
data.forEach(function(entry) {
var data = { x: entry.x, y: entry.y_line}
arr.push(data);
});
return arr;
}
function getBar(){
var arr = [];
data.forEach(function(entry) {
arr.push(entry.y_bar);
});
return arr;
}
function getLabels(){
var arr = [];
data.forEach(function(entry) {
arr.push(entry.x);
});
return arr;
}
Then you introduce the values in your configuration like this:
{
type: "bar",
label: labelInsulin,
backgroundColor: "#239471",
borderCapStyle: "butt",
borderJoinStyle: "miter",
borderColor: "#239471",
data: getBar(), // like this
yAxisID : "y-axis-1"
}
If a "bar" has value null it doesn't appear. And because the "bar" has the same number of elements than the "line" they always match.
这篇关于Chart.js：组合线和条数据的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！