I am currently working on Google Charts with below Version.
google.charts.load('upcoming', {packages: ['corechart']);
When i enter a mouse on axis and legend tooltip comes with black box as per attached image.
I also tried "Current" and "42" version but still getting a same issue as in attached image. I am facing this issue with Firefox.
Google Line Chart- Tooltip with balck box in Firefox
Is it a bug in Google Chart API or anything else?
tooltip seems to work fine here
any code / css / chart options you can share?
see following working snippet...
google.charts.load('current', {
callback: drawChart,
packages: ['corechart']
});
function drawChart() {
var dataTable = new google.visualization.DataTable({
cols: [
{id: 'x', label: 'Date', type: 'date'},
{id: 'y', label: 'Fn', type: 'number'},
{id: 'z', label: 'Shade', type: 'number'}
]
});
var formatDate = new google.visualization.DateFormat({
pattern: 'MMM-dd-yyyy'
});
var oneDay = (1000 * 60 * 60 * 24);
var startDate = new Date(2016, 10, 27);
var endDate = new Date();
var ticksAxisH = [];
var dateRanges = [
{start: new Date(2017, 0, 1), end: new Date(2017, 0, 20)},
{start: new Date(2017, 1, 5), end: new Date(2017, 1, 10)}
];
var maxShade = 200;
for (var i = startDate.getTime(); i < endDate.getTime(); i = i + oneDay) {
// x = date
var rowDate = new Date(i);
var xValue = {
v: rowDate,
f: formatDate.formatValue(rowDate)
};
// y = 2x + 8
var yValue = (2 * ((i - startDate.getTime()) / oneDay) + 8);
// z = null or max shade
var zValue = null;
dateRanges.forEach(function (range) {
if ((rowDate.getTime() >= range.start.getTime()) &&
(rowDate.getTime() <= range.end.getTime())) {
zValue = maxShade;
}
});
// add data row
dataTable.addRow([
xValue,
yValue,
zValue
]);
// add tick every 7 days
if (((i - startDate.getTime()) % 7) === 0) {
ticksAxisH.push(xValue);
}
}
var container = document.getElementById('chart_div');
var chart = new google.visualization.ChartWrapper({
chartType: 'ComboChart',
dataTable: dataTable,
options: {
chartArea: {
bottom: 64,
top: 48
},
hAxis: {
slantedText: true,
ticks: ticksAxisH
},
legend: {
position: 'top'
},
lineWidth: 4,
series: {
// line
0: {
color: '#00acc1'
},
// area
1: {
areaOpacity: 0.6,
color: '#ffe0b2',
type: 'area',
visibleInLegend: false
},
},
seriesType: 'line'
}
});
chart.draw(container);
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="chart_div"></div>
Related
I currently have this chart.
I'm attempting to create something like this.
The bar on the side is static, but the section "heights" need to be programmable when the page loads. I attempted encoding in an SVG but I wasn't able to get it to stick to the chart.
I've got no clue how to make the final (current value) node to appear as an arrow pointing to the bar (or alternatively, as just a horizontal bar across the vertical one).
I made a sample codepen to simulate the dynamic chart I currently have.
(Or, per StackOverflow's requirements, the JS code used: )
var randoms = [...Array(11)].map(e=>~~(Math.random()*11));
var ctx = document.getElementById("myChart");
var myChart = new Chart(ctx, {
type: 'line',
data: {
labels: randoms,
datasets: [{
label: 'value',
data: randoms
}]
},
options: {
scales: {
y: {
grace: 10,
}
}
}
});
function populate(){
let temp = ~~(Math.random()*11);
myChart.data.datasets[0].data.shift();
myChart.data.datasets[0].data.push(temp);
myChart.update();
}
setInterval(populate, 10000);
Any general pointers are also appreciated - I'm very new to all of this.
You can write a custom plugin for this, I added padding on the right to give space for the arrow to be drawn. You can play with the multiplyer values to make the arrow bigger/smaller
Example:
var randoms = [...Array(11)].map(e => ~~(Math.random() * 11));
var ctx = document.getElementById("myChart");
var myChart = new Chart(ctx, {
type: 'line',
data: {
labels: randoms,
datasets: [{
label: 'value',
data: randoms,
borderColor: 'red',
backgroundColor: 'red'
}]
},
options: {
layout: {
padding: {
right: 25
}
},
scales: {
y: {
grace: 10
}
}
},
plugins: [{
id: 'arrow',
afterDraw: (chart, args, opts) => {
const {
ctx
} = chart;
chart._metasets.forEach((meta) => {
let point = meta.data[meta.data.length - 1];
ctx.save();
ctx.fillStyle = point.options.backgroundColor;
ctx.moveTo(point.x, (point.y - point.y * 0.035));
ctx.lineTo(point.x, (point.y + point.y * 0.035));
ctx.lineTo((point.x + point.x * 0.025), point.y)
ctx.fill();
ctx.restore();
})
}
}]
});
function populate() {
let temp = ~~(Math.random() * 11);
myChart.data.datasets[0].data.shift();
myChart.data.datasets[0].data.push(temp);
myChart.update();
}
//setInterval(populate, 10000);
<script src="https://npmcdn.com/chart.js#latest/dist/chart.min.js"></script>
<div class="myChartDiv">
<canvas id="myChart" width="600" height="400"></canvas>
</div>
In Google Charts, the 'hAxis': {'gridlines': {'count': 3} } statement seems to work, but when I'm using chartWrapper as part of an interactive plot, it does not. I don't really care about vertical gridlines, but I want to control how many labels are on the X axis. I think labels are usually attached to gridlines - one label per gridline.
I have an example from the Google Charts website, where the only thing I changed was to put try and put in 3 gridlines:
https://jsfiddle.net/emorris/gLcq1h2j/
chart option ticks is only supported by a continuous axis
in the fiddle you shared, the view placed on the chart,
converts the first column from type 'date' to 'string',
which results in a discrete axis
// Convert the first column from 'date' to 'string'.
'view': {
'columns': [{
'calc': function(dataTable, rowIndex) {
return dataTable.getFormattedValue(rowIndex, 0);
},
'type': 'string'
}, 1, 2, 3, 4]
}
to control how many labels are on the X axis, remove the view
to build the ticks dynamically here, use the state of the range filter,
to know the date range currently displayed on the chart
the chart will need to be redrawn when the control's 'statechange' event fires
see following working snippet, an axis label is created for every 5 days...
google.charts.load('current', {
callback: drawChartRangeFilter,
packages: ['corechart', 'controls']
});
function drawChartRangeFilter() {
var data = new google.visualization.DataTable();
data.addColumn('date', 'Date');
data.addColumn('number', 'Stock low');
data.addColumn('number', 'Stock open');
data.addColumn('number', 'Stock close');
data.addColumn('number', 'Stock high');
var open, close = 300;
var low, high;
for (var day = 1; day < 121; ++day) {
var change = (Math.sin(day / 2.5 + Math.PI) + Math.sin(day / 3) - Math.cos(day * 0.7)) * 150;
change = change >= 0 ? change + 10 : change - 10;
open = close;
close = Math.max(50, open + change);
low = Math.min(open, close) - (Math.cos(day * 1.7) + 1) * 15;
low = Math.max(0, low);
high = Math.max(open, close) + (Math.cos(day * 1.3) + 1) * 15;
var date = new Date(2012, 0, day);
data.addRow([date, Math.round(low), Math.round(open), Math.round(close), Math.round(high)]);
}
var dashboard = new google.visualization.Dashboard(
document.getElementById('dashboard')
);
var control = new google.visualization.ControlWrapper({
controlType: 'ChartRangeFilter',
containerId: 'control',
options: {
filterColumnIndex: 0,
ui: {
chartType: 'LineChart',
chartOptions: {
chartArea: {
width: '92%'
},
hAxis: {
baselineColor: 'none'
},
height: 72
},
chartView: {
columns: [0, 3]
},
minRangeSize: 86400000
}
},
state: {
range: {
start: new Date(2012, 1, 9),
end: new Date(2012, 2, 20)
}
}
});
var chart = new google.visualization.ChartWrapper({
chartType: 'CandlestickChart',
containerId: 'chart',
options: {
chartArea: {
height: '100%',
width: '100%',
top: 12,
left: 48,
bottom: 48,
right: 48
},
vAxis: {
viewWindow: {
min: 0,
max: 2000
}
},
legend: {
position: 'none'
}
}
});
google.visualization.events.addListener(control, 'statechange', setAxisTicks);
function setAxisTicks() {
var oneDay = (1000 * 60 * 60 * 24);
var dateRange = control.getState().range;
var ticksAxisH = [];
for (var i = dateRange.start.getTime(); i <= dateRange.end.getTime(); i = i + (oneDay * 5)) {
ticksAxisH.push(new Date(i));
}
if (ticksAxisH.length > 0) {
ticksAxisH.push(new Date(ticksAxisH[ticksAxisH.length - 1].getTime() + (oneDay * 5)));
}
chart.setOption('hAxis.ticks', ticksAxisH);
if (chart.getDataTable() !== null) {
chart.draw();
}
}
setAxisTicks();
dashboard.bind(control, chart);
drawDashboard();
$(window).resize(drawDashboard);
function drawDashboard() {
dashboard.draw(data);
}
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="dashboard">
<div id="chart"></div>
<div id="control"></div>
</div>
Link to jsFiddle
google.charts.load('current', {
'packages': ['corechart']
});
//Input data
var data = [
['Data', 'CAT1', 'CAT2', 'CAT3', 'CAT4'],
['Provisions', 5, 0, 0, 0],
];
// Set a callback to run when the Google Visualization API is loaded.
google.charts.setOnLoadCallback(drawChart);
// Callback that creates and populates a data table,
// instantiates the pie chart, passes in the data and
// draws it.
function drawChart() {
var options = {
colors: ['#00699B', '#087EB4', '#CBE7F7', '8A6996'],
isStacked: true,
chartArea: {
width: '40%'
},
bar: {
groupWidth: "40%"
},
// tooltip: { isHtml: true },
trigger: 'both',
vAxis: {
gridlines: {
color: '#0000006b',
minValue: 0,
baseline: 0
},
format: "$ #,###"
},
};
var dataTable = google.visualization.arrayToDataTable(data);
//Formatters
var intergerFormatter = new google.visualization.NumberFormat({
groupingSymbol: ",",
fractionDigits: 0
});
for (var i = 0; i < data[0].length; i++) {
intergerFormatter.format(dataTable, i);
}
var view = new google.visualization.DataView(dataTable);
var cols = [0];
for (var i = 1; i < data[0].length; i++) {
cols.push({
sourceColumn: i,
type: "number",
label: data[0][i]
});
cols.push({
calc: createTooltip(i),
type: "string",
role: "tooltip",
});
}
view.setColumns(cols);
var chart = new google.visualization.ColumnChart(document.getElementById('provision_chart'));
chart.draw(view, options);
function createTooltip(col) {
return function(dataTable, row) {
var html = dataTable.getColumnLabel(col) + ":" + "\n";
html += "4 " + dataTable.getValue(row, 0) + "\n";
html += "$ " + intergerFormatter.formatValue(dataTable.getValue(row, col)) + " total" + "\n";
return html;
};
}
}
The grid lines on a stacked bar type google charts are not rendering properly.
As per the data, $5 is recorded against Category1, but when it's rendered the bar is slightly over $5.
Can someone suggest a fix?
removing the option --> format: "$ #,###" -- reveals the problem
although the tick mark displays --> $ 5 -- the actual number used is 4.5
see following working snippet...
google.charts.load('current', {
'packages': ['corechart']
});
//Input data
var data = [
['Data', 'CAT1', 'CAT2', 'CAT3', 'CAT4'],
['Provisions', 5, 0, 0, 0],
];
// Set a callback to run when the Google Visualization API is loaded.
google.charts.setOnLoadCallback(drawChart);
// Callback that creates and populates a data table,
// instantiates the pie chart, passes in the data and
// draws it.
function drawChart() {
var options = {
colors: ['#00699B', '#087EB4', '#CBE7F7', '8A6996'],
isStacked: true,
chartArea: {
width: '40%'
},
bar: {
groupWidth: "40%"
},
// tooltip: { isHtml: true },
trigger: 'both',
vAxis: {
gridlines: {
color: '#0000006b',
minValue: 0,
baseline: 0
},
//format: "$ #,###"
},
};
var dataTable = google.visualization.arrayToDataTable(data);
//Formatters
var intergerFormatter = new google.visualization.NumberFormat({
groupingSymbol: ",",
fractionDigits: 0
});
for (var i = 0; i < data[0].length; i++) {
intergerFormatter.format(dataTable, i);
}
var view = new google.visualization.DataView(dataTable);
var cols = [0];
for (var i = 1; i < data[0].length; i++) {
cols.push({
sourceColumn: i,
type: "number",
label: data[0][i]
});
cols.push({
calc: createTooltip(i),
type: "string",
role: "tooltip",
});
}
view.setColumns(cols);
var chart = new google.visualization.ColumnChart(document.getElementById('provision_chart'));
chart.draw(view, options);
function createTooltip(col) {
return function(dataTable, row) {
var html = dataTable.getColumnLabel(col) + ":" + "\n";
html += "4 " + dataTable.getValue(row, 0) + "\n";
html += "$ " + intergerFormatter.formatValue(dataTable.getValue(row, col)) + " total" + "\n";
return html;
};
}
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="provision_chart" style="width: 500px; height: 500px;"></div>
to correct, you can add a decimal place to the format --> $ #,##0.0
or provide your own vAxis.ticks in an array --> [0, 1, 2, 3, 4, 5, 6]
see following working snippet...
google.charts.load('current', {
'packages': ['corechart']
});
//Input data
var data = [
['Data', 'CAT1', 'CAT2', 'CAT3', 'CAT4'],
['Provisions', 5, 0, 0, 0],
];
// Set a callback to run when the Google Visualization API is loaded.
google.charts.setOnLoadCallback(drawChart);
// Callback that creates and populates a data table,
// instantiates the pie chart, passes in the data and
// draws it.
function drawChart() {
var options = {
colors: ['#00699B', '#087EB4', '#CBE7F7', '8A6996'],
isStacked: true,
chartArea: {
width: '40%'
},
bar: {
groupWidth: "40%"
},
// tooltip: { isHtml: true },
trigger: 'both',
vAxis: {
gridlines: {
color: '#0000006b',
minValue: 0,
baseline: 0
},
format: "$ #,###",
ticks: [0, 1, 2, 3, 4, 5, 6]
},
};
var dataTable = google.visualization.arrayToDataTable(data);
//Formatters
var intergerFormatter = new google.visualization.NumberFormat({
groupingSymbol: ",",
fractionDigits: 0
});
for (var i = 0; i < data[0].length; i++) {
intergerFormatter.format(dataTable, i);
}
var view = new google.visualization.DataView(dataTable);
var cols = [0];
for (var i = 1; i < data[0].length; i++) {
cols.push({
sourceColumn: i,
type: "number",
label: data[0][i]
});
cols.push({
calc: createTooltip(i),
type: "string",
role: "tooltip",
});
}
view.setColumns(cols);
var chart = new google.visualization.ColumnChart(document.getElementById('provision_chart'));
chart.draw(view, options);
function createTooltip(col) {
return function(dataTable, row) {
var html = dataTable.getColumnLabel(col) + ":" + "\n";
html += "4 " + dataTable.getValue(row, 0) + "\n";
html += "$ " + intergerFormatter.formatValue(dataTable.getValue(row, col)) + " total" + "\n";
return html;
};
}
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="provision_chart" style="width: 500px; height: 500px;"></div>
the getColumnRange(colIndex) method can assist in building the ticks dynamically
the method returns an object {} with properties for min and max for the column index provided
see following working snippet for an example...
google.charts.load('current', {
'packages': ['corechart']
});
//Input data
var data = [
['Data', 'CAT1', 'CAT2', 'CAT3', 'CAT4'],
['Provisions', 5, 0, 0, 0],
];
// Set a callback to run when the Google Visualization API is loaded.
google.charts.setOnLoadCallback(drawChart);
// Callback that creates and populates a data table,
// instantiates the pie chart, passes in the data and
// draws it.
function drawChart() {
var options = {
colors: ['#00699B', '#087EB4', '#CBE7F7', '8A6996'],
isStacked: true,
chartArea: {
width: '40%'
},
bar: {
groupWidth: "40%"
},
// tooltip: { isHtml: true },
trigger: 'both',
vAxis: {
gridlines: {
color: '#0000006b',
minValue: 0,
baseline: 0
},
format: "$ #,###"
},
};
var dataTable = google.visualization.arrayToDataTable(data);
//Formatters
var intergerFormatter = new google.visualization.NumberFormat({
groupingSymbol: ",",
fractionDigits: 0
});
for (var i = 0; i < data[0].length; i++) {
intergerFormatter.format(dataTable, i);
}
var view = new google.visualization.DataView(dataTable);
var cols = [0];
var ticksY = [];
var maxY = null;
var minY = null;
for (var i = 1; i < view.getNumberOfColumns(); i++) {
var range = view.getColumnRange(i);
if (maxY === null) {
maxY = Math.ceil(range.max);
} else {
maxY = Math.max(maxY, Math.ceil(range.max));
}
if (minY === null) {
minY = Math.floor(range.min);
} else {
minY = Math.min(minY, Math.floor(range.min));
}
}
for (var i = minY; i <= maxY + 1; i++) {
ticksY.push(i);
}
options.vAxis.ticks = ticksY;
for (var i = 1; i < data[0].length; i++) {
cols.push({
sourceColumn: i,
type: "number",
label: data[0][i]
});
cols.push({
calc: createTooltip(i),
type: "string",
role: "tooltip",
});
}
view.setColumns(cols);
var chart = new google.visualization.ColumnChart(document.getElementById('provision_chart'));
chart.draw(view, options);
function createTooltip(col) {
return function(dataTable, row) {
var html = dataTable.getColumnLabel(col) + ":" + "\n";
html += "4 " + dataTable.getValue(row, 0) + "\n";
html += "$ " + intergerFormatter.formatValue(dataTable.getValue(row, col)) + " total" + "\n";
return html;
};
}
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="provision_chart" style="width: 500px; height: 500px;"></div>
Using ChartJs (v2.2.2) can you change the line style between the last 2 points on a graph. e.g. have a solid line all the way and then dashed at the end? see picture below
The borderDashproperty (scroll to Line Configuration) is the key to your problem.
The thing is, the full chart is drawn with a border dash, you cannot choose where it starts and where it ends.
A simple workaround is to create two identical datasets. One dotted and one with a plain line. Then you remvoe the last data of your plain one, and they both will be displayed as how you want it.
You can see the full code in this jsFiddle, and here is its result :
Note :
Since there are two datasets now, the legend will display both of them. Setting the display to false fixes it (more or less).
The declaration order doesn't matter since the plain line will always overwrite the dotted one.
Having a bezier curve (tension property > 0) can create a display problem since the data is not the same in both datasets.
You can create a scatter chart and draw the lines directly on the canvas using the Plugin Core API. The API offers a range of hooks that can be used for performing custom code. The advantage of this approach is that you can customize the style of every single connection line (width, color, dash pattern etc.).
const labels = [1, 2, 3, 4, 5, 6];
const values = [12, 19, 3, 5, 2, 3];
const data = labels.map((label, index) => ({ x: label, y: values[index]}));
var lineChart = new Chart(document.getElementById("chart"), {
type: "scatter",
plugins: [{
afterDraw: chart => {
var ctx = chart.chart.ctx;
var xAxis = chart.scales['x-axis-1'];
var yAxis = chart.scales['y-axis-1'];
chart.config.data.datasets[0].data.forEach((value, index) => {
if (index > 0) {
var valueFrom = data[index - 1];
var xFrom = xAxis.getPixelForValue(valueFrom.x);
var yFrom = yAxis.getPixelForValue(valueFrom.y);
var xTo = xAxis.getPixelForValue(value.x);
var yTo = yAxis.getPixelForValue(value.y);
ctx.save();
ctx.strokeStyle = '#922893';
ctx.lineWidth = 2;
if (index + 1 == data.length) {
ctx.setLineDash([5, 10]);
}
ctx.beginPath();
ctx.moveTo(xFrom, yFrom);
ctx.lineTo(xTo, yTo);
ctx.stroke();
ctx.restore();
}
});
}
}],
data: {
datasets: [{
label: "My Dataset",
data: data,
borderColor: '#922893',
pointBackgroundColor: "transparent"
}]
},
options: {
legend: {
display: false
},
scales: {
xAxes: [{
ticks: {
stepSize: 1
}
}],
yAxes: [{
ticks: {
beginAtZero: true
}
}]
}
}
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.3/Chart.min.js"></script>
<canvas id="chart" height="90"></canvas>
const labels = [1, 2, 3, 4, 5, 6];
const values = [12, 19, 3, 5, 2, 3];
const data = labels.map((label, index) => ({ x: label, y: values[index]}));
var lineChart = new Chart(document.getElementById("chart"), {
type: "scatter",
plugins: [{
afterDraw: chart => {
var ctx = chart.chart.ctx;
var xAxis = chart.scales['x-axis-1'];
var yAxis = chart.scales['y-axis-1'];
chart.config.data.datasets[0].data.forEach((value, index) => {
if (index > 0) {
var valueFrom = data[index - 1];
var xFrom = xAxis.getPixelForValue(valueFrom.x);
var yFrom = yAxis.getPixelForValue(valueFrom.y);
var xTo = xAxis.getPixelForValue(value.x);
var yTo = yAxis.getPixelForValue(value.y);
ctx.save();
ctx.strokeStyle = '#922893';
ctx.lineWidth = 2;
if (index + 1 == data.length) {
ctx.setLineDash([5, 10]);
}
ctx.beginPath();
ctx.moveTo(xFrom, yFrom);
ctx.lineTo(xTo, yTo);
ctx.stroke();
ctx.restore();
}
});
}
}],
data: {
datasets: [{
label: "My Dataset",
data: data,
borderColor: '#922893',
pointBackgroundColor: "transparent"
}]
},
options: {
legend: {
display: false
},
scales: {
xAxes: [{
ticks: {
stepSize: 1
}
}],
yAxes: [{
ticks: {
beginAtZero: true
}
}]
}
}
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.3/Chart.min.js"></script>
<canvas id="chart" height="90"></canvas>
I made half a donut chart with Google charts and I have a problem that the sum of visible percentage is equal to 50%. Is there any possible solution ?
Image of my chart
you can override the text displayed on the slice by using the following config option...
pieSliceText: 'value'
then in the data, set the formatted value of the cells to the correct percentage...
var data = [
['Task', 'Hours'],
// use formatted values
['A', {v: 19.2, f: '38.4%'}],
['B', {v: 30.8, f: '61.6%'}],
[null, 50]
];
the following working snippet uses the same approach,
but calculates the correct percentages,
rather than hard-coding...
google.charts.load('current', {
callback: function () {
var data = [
['Task', 'Hours'],
['A', 19.2],
['B', 30.8],
[null, 50.0]
];
var total = 0;
for (var i = 1; i < data.length; i++) {
if (data[i][0] !== null) {
total += data[i][1];
}
}
var numberFormat = new google.visualization.NumberFormat({
pattern: '#,##0.0',
suffix: '%'
});
var dataTable = google.visualization.arrayToDataTable(data);
for (var i = 0; i < dataTable.getNumberOfRows(); i++) {
if (dataTable.getValue(i, 0) !== null) {
dataTable.setFormattedValue(i, 1, numberFormat.formatValue(((dataTable.getValue(i, 1) / total) * 100)));
}
}
var chart = new google.visualization.PieChart(document.getElementById('chart_div'));
var options = {
height: 400,
chartArea: {
top: 24
},
colors: ['#8BC34A', '#64B5F6'],
legend: 'none',
pieHole: 0.4,
pieStartAngle: 270,
pieSliceText: 'value',
slices: {
2: {
color: 'transparent'
}
},
theme: 'maximized',
width: 400
};
chart.draw(dataTable, options);
},
packages: ['corechart']
});
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="chart_div"></div>