Does anyone have any idea how to create a logarithmic chart in FLOT?
Basically I am trying to create a chart that looks like the one shown here (top left):
http://leto.net/plot/examples/logarithms.html
However, I have given it a try using the same options but it doesn't show the chart the same way. I think there must have been a lot of changes to FLOT since then considering that the post is quite old.
If anyone has any idea, please do let me know.
Thanks.
You can do this using the "transform" option on the yaxis.
See work here.
$(function () {
// setup plot
function sampleFunction(x1, x2, func) {
var d = [ ];
var step = (x2-x1)/300;
for (var i = x1; i < x2; i += step )
d.push([i, func( i ) ]);
return d;
}
var options1 = {
lines: { show: true },
xaxis: { ticks: 4 },
yaxis: { ticks: [0.001,0.01,0.1,1,10,100],
transform: function(v) {return Math.log(v+0.0001); /*move away from zero*/},
tickDecimals: 3 },
grid: { hoverable: true, clickable: true, color: "#999" }
};
var data1 = sampleFunction( 0, 5, function(x){ return Math.exp(x)*Math.sin(x)*Math.sin(x) } );
var plot1 = $.plot($("#chart1"), [ { label: "exp(x)sin(x)^2", data: data1 } ], options1);
});
Full Working Code:
$(function () {
// setup plot
function sampleFunction(x1, x2, func) {
var d = [ ];
var step = (x2-x1)/300;
for (var i = x1; i < x2; i += step )
d.push([i, func( i ) ]);
return d;
}
var options1 = {
lines: { show: true },
xaxis: { ticks: 4 },
yaxis: { ticks: [0.001,0.01,0.1,1,10,100],
transform: function(v) {return Math.log(v+0.0001); /*move away from zero*/} , tickDecimals: 3 },
grid: { hoverable: true, clickable: true , color: "#999"}
};
var data1 = sampleFunction( 0, 5, function(x){ return Math.exp(x)*Math.sin(x)*Math.sin(x) } );
var plot1 = $.plot($("#chart1"), [ { label: "exp(x)sin(x)^2", data: data1} ], options1);
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/flot/0.8.3/jquery.flot.min.js"></script>
<br/><br/>
<div id="chart1" style="width:600px;height:300px;"></div>
Great work Mark
As the ticks of Y axis in Logarithmic graphs are in the format of power of 10,
I would like to share enhancement in Y axis ticks, Here it is.s
$(function () {
// setup plot
function sampleFunction(x1, x2, func) {
var d = [ ];
var step = (x2-x1)/300;
for (var i = x1; i < x2; i += step )
d.push([i, func( i ) ]);
return d;
}
var options1 = {
lines: { show: true },
xaxis: { ticks: 4 },
yaxis: { ticks: [0.001,0.01,0.1,1,10,100],
transform: function(v) {return Math.log(v+0.0001); /*move away from zero*/} , tickDecimals: 3 ,
tickFormatter: function (v, axis) {return "10" + (Math.round( Math.log(v)/Math.LN10)).toString().sup();}
},
grid: { hoverable: true, clickable: true , color: "#999"}
};
var data1 = sampleFunction( 0, 5, function(x){ return Math.exp(x)*Math.sin(x)*Math.sin(x) } );
var plot1 = $.plot($("#chart1"), [ { label: "exp(x)sin(x)" + "2".sup(), data: data1} ], options1);
});
Please let me know if there is any better way.
Thanks.
As the other answerer said, good work Mark. There is a way to make your solution more robust.
Mark's answer will work for most cases, but the plot will not look right for values near or less than 0.0001. Also, you don't need to modify every value to move away from zero. I believe that flot tries to transform 0 to determine where the "bottom" of the plot should be. Because of this, you will not be able to make your plot axis limits dynamic. This will make your plots look very bad if your values are much greater than 0.0001. Therefore, the following modification makes Mark's solution more robust, but it requires knowing the minimum y value (ymin below) in your data.
var options1 = {
lines: { show: true },
xaxis: { ticks: 4 },
yaxis: { ticks: [0.001,0.01,0.1,1,10,100],
transform: Function("v","return v == 0 ? Math.log("+Math.pow(10,ymin)+") : Math.log(v);"), tickDecimals: 3 },
grid: { hoverable: true, clickable: true , color: "#999"}
};
It is base 10. The approach it should not be?
transform: function (v) {
if (v == 0) v = 0.0001;
return Math.log(v) / Math.log(10);
},
inverseTransform: function (v) {
Math.pow(10, v);
},
Related
To show all bars I have set the horizontal scrolling to chartjs in Ionic angular project , and i have used the DataLabelsPlugin constant for bars label. and while scrolling the datalabels is overlapping with y-axis its not hiding before y-axis like bars.
and also horizontal scroll is not happening smoothly.
graph working fine as a expected output
marked with issue about - after scrolling the datalabels went over the y-axis not hide below y-axis like bars
I have tried to add and used the custom datalabels but same issue i am getting and i didnt find any css or attribute on 'https://www.chartjs.org/docs/latest/' official site or not on any other sites -> to hide the datalabels from over the y-axis.
ts file code:
createBarChart() {
const footer = (tooltipItems) => {
let sum = 0;
tooltipItems.forEach(function(tooltipItem) {
sum += tooltipItem.parsed.y;
});
return this.util.getFormatValue(sum)+'%';
};
const toolLabel = (tooltipItems) => {
return "";
};
const toolTitle = (tooltipItems) => {
var string_to_array = function (str) {
return str.trim().split("#$#$");
};
var ss;
tooltipItems.forEach(function(tooltipItem) {
ss = string_to_array(tooltipItem.label.replace(/(.{40})/g, "$1#$#$"))
});
return ss;
};
let graphSize = Math.max(...this.daywise_occupancy);
if(graphSize == 0){
graphSize =1;
}
const plugin = {
id: 'customCanvasBackgroundColor',
beforeDraw: (chart, args, options) => {
const {ctx} = chart;
ctx.save();
ctx.globalCompositeOperation = 'destination-over';
ctx.fillStyle = '#ffffff';
ctx.fillRect(0, 0, chart.width, chart.height);
ctx.restore();
}
};
this.bars = new Chart(this.barchart6.nativeElement, {
type: 'bar',
data: {
labels: this.daywise_date,
datasets: [{
data: this.daywise_occupancy,
backgroundColor: function(context) {
var value = context.dataset.data[context.dataIndex];
return value <= 15 ? '#f95959'
: value > 15 && value <=60 ? '#F5A623'
: '#00ADB5'
},
borderColor: function(context) {
var value = context.dataset.data[context.dataIndex];
return value <= 15 ? '#f95959'
: value > 15 && value <=60 ? '#F5A623'
: '#00ADB5'
},
borderWidth: 1,
barThickness:30,
}]
},
plugins: [DataLabelsPlugin,plugin],
options: {
animations: {
tension: {
duration: 1000,
easing: 'linear',
from: 1,
to: 0,
loop: true
}
},
scales: {
x: {
min:0,
max:5,
ticks : {
maxRotation: 70,
minRotation: 70,
font:{
size:10,
},
callback: function(value : any, index, ticks_array) {
let characterLimit = 12;
let label = this.getLabelForValue(value);
if ( label.length >= characterLimit) {
return label.slice(0, label.length).substring(0, characterLimit -1).trim() + '..';
}
return label;
}
}
},
y: { // defining min and max so hiding the dataset does not change scale range
min: 0,
max: this.loader.getGraphsizeRound(graphSize),
title: { display: true, text: (this.titleSet)? '% of Branches Contribution' : '% of Seat Occupancy' },
beginAtZero: true,
display: true,
position: 'left',
// ticks: {
// stepSize: 6,
// },
}
},
plugins: {
legend: {
display: false
},
datalabels:{
anchor: 'end',
align: 'end',labels: {
value: {
color: '#2C3A45;',
formatter: function (value) {
// return Math.round(value) + '%';
return value + '%';
},
font:{
weight:700,
size:14
}
}
}
},
tooltip: {
callbacks: {
footer:footer,
label: toolLabel,
title:toolTitle
},
displayColors:false
}
}
}
});
this.bars.canvas.addEventListener('touchmove',(eve) => {
this.touchmove(eve,this.bars)
});
this.bars.canvas.addEventListener('touchstart',(eve) => {
this.touchstart(eve)
});
}
touchstart(e)
{
this.startX = e.touches[0].clientX;
this.startY = e.touches[0].clientY;
}
touchmove(e,chart)
{
var deltaX = e.touches[0].clientX - this.startX,
deltaY = e.touches[0].clientY - this.startY;
const dataLength = chart.data.labels.length;
let min = chart.options.scales.x.min;
if(deltaX < 0){
if( chart.options.scales.x.max >= dataLength ){
chart.options.scales.x.min = dataLength - 5;
chart.options.scales.x.max = dataLength;
}else{
chart.options.scales.x.min += 1;
chart.options.scales.x.max += 1;
}
// console.log( chart.options.scales.x.min);
// chart1line.options.scales.y.max = graphSize
}else if(deltaX > 0){
if( chart.options.scales.x.min <= 0 ){
chart.options.scales.x.min = 0;
chart.options.scales.x.max = 4;
}else{
chart.options.scales.x.min -= 1;
chart.options.scales.x.max -= 1;
}
}else{
}
chart.update();
}
HTML code:
<div class="chartWrapper">
<div class="chartAreaWrapper">
<canvas #barchart6 height="190" max-height="190" width="0"></canvas>
</div>
</div>
My expected output
horizontal scroll work smoothly.
after scrolling label should not overlap on y-axis.
This doesn't work for much of anything really that I can tell.
I want to remove the meters while drawing without having to do it in a hackish way. I am thinking I can just grab it and do some stuff outside of the normal functionality but would rather it just work.
While I'm drawing I want the tooltip to show imperial units.
Leaflet Version is currently 1.7.1. - I should upgrade.
Using CDN link for leaflet.draw currently.
'''
function mapDraw() {
var drawLayer = new L.featureGroup();
map.addLayer( drawLayer );
// Add the edit toolbar
let drawControl = new L.Control.Draw({
draw: {
circle: {
metric: false,
feet: true
},
polyline: {
metric: false,
feet: 'feet'
},
polygon: {
metric: false,
feet: 'feet'
},
rectangle: {
metric: false,
feet: true
},
},
edit: {
featureGroup: drawLayer
}
});
map.on(L.Draw.Event.CREATED, function (e) {
var type = e.layerType;
layer = e.layer;
if ( type === 'polygon' || type === 'rectangle' ) {
var area = L.GeometryUtil.geodesicArea( layer.getLatLngs()[0] );
var readableArea = L.GeometryUtil.readableArea( area );
layer.bindTooltip( readableArea );
} else if ( type === 'circle' ) {
var radius = layer.getRadius();
var area = Math.PI * radius ** 2;
readableArea = L.GeometryUtil.readableArea( area );
layer.bindTooltip( readableArea );
} else if ( type === 'polyline' ) {
var latlng = layer.getLatLngs();
var distance = 0;
for ( var i = 0; i < latlng.length - 1; i++ ) {
distance += latlng[i].distanceTo( latlng[i+1] );
}
distanceInFeet = distance * 100 / 2.54 / 12;
distanceInYards = distanceInFeet / 3;
distanceInMiles = distanceInYards / 1760;
layer.bindTooltip( distanceInFeet.toFixed(2) + ' ft' );
}
drawLayer.addLayer( layer );
});
map.addControl(drawControl);
}
Is there any way to change the default colors in a calendar-based heatmap? The default heatmap runs from shades of 'yellow' to 'red', based on the value. I want to change the colors so that the color runs from 'red' to 'green'.
This is the default color scheme
With the propriety "inRange" you can change the color variation of the values.
function getVirtulData(year) {
year = year || '2017';
var date = +echarts.number.parseDate(year + '-01-01');
var end = +echarts.number.parseDate(year + '-12-31');
var dayTime = 3600 * 24 * 1000;
var data = [];
for (var time = date; time <= end; time += dayTime) {
data.push([
echarts.format.formatTime('yyyy-MM-dd', time),
Math.floor(Math.random() * 1000)
]);
}
return data;
}
option = {
visualMap: {
min: 0,
max: 1000,
inRange : {
color: ['#DD2000', '#009000' ] //From smaller to bigger value ->
}
},
calendar: {
range: '2017'
},
series: {
type: 'heatmap',
coordinateSystem: 'calendar',
data: getVirtulData(2017)
}
};
You can also use in visualMap
pieces: [
{min: 0, max: 0.5, color: 'red'},
{min: 0.5, max: 1, color: 'green'},
],
to customize even more
I have a Scatter Series with a set of points, like the one shown here. https://developers.google.com/chart/interactive/docs/gallery/scatterchart
The points are grouped and each group is shown in different color. I would like to draw a polygon around each group (convex hull). Looks like there is not a straightforward way to add polygons each with n boundary-points to the chart.
if you have an algorithm to find the boundary points,
you can use a ComboChart to draw both the scatter and line series...
use option seriesType to set the default type
use option series to customize the type for a particular series
in the following working snippet,
the algorithm used was pulled from --> Convex Hull | Set 1 (Jarvis’s Algorithm or Wrapping)
(converted from the Java version)
google.charts.load('current', {
packages: ['corechart']
}).then(function () {
var groupA = [
[0,3],[2,3],[1,1],[2,1],[3,0],[0,0],[3,3],[2,2]
];
var groupB = [
[11,11],[12,12],[12,10],[12,14],[13,13],[14,12],[15,12],[16,12]
];
var data = new google.visualization.DataTable();
data.addColumn('number', 'x');
data.addColumn('number', 'y');
data.addRows(groupA);
data.addRows(groupB);
addGroup('A', data, groupA)
addGroup('B', data, groupB)
var options = {
chartArea: {
bottom: 48,
height: '100%',
left: 36,
right: 24,
top: 36,
width: '100%'
},
height: '100%',
seriesType: 'line',
series: {
0: {
type: 'scatter'
}
},
width: '100%'
};
var chart = new google.visualization.ComboChart(document.getElementById('chart_div'));
drawChart();
window.addEventListener('resize', drawChart, false);
function drawChart() {
chart.draw(data, options);
}
function addGroup(group, dataTable, points) {
var polygon = convexHull(points);
var colIndex = dataTable.addColumn('number', group);
for (var i = 0; i < polygon.length; i++) {
var rowIndex = dataTable.addRow();
dataTable.setValue(rowIndex, 0, polygon[i][0]);
dataTable.setValue(rowIndex, colIndex, polygon[i][1]);
}
}
function orientation(p, q, r) {
var val = (q[1] - p[1]) * (r[0] - q[0]) -
(q[0] - p[0]) * (r[1] - q[1]);
if (val == 0) {
return 0; // collinear
} else if (val > 0) {
return 1; // clock wise
} else {
return 2; // counterclock wise
}
}
function convexHull(points) {
// must be at least 3 rows
if (points.length < 3) {
return;
}
// init
var l = 0;
var p = l;
var q;
var hull = [];
// find leftmost point
for (var i = 1; i < points.length; i++) {
if (points[i][0] < points[l][0]) {
l = i;
}
}
// move counterclockwise until start is reached
do {
// add current point to result
hull.push(points[p]);
// check orientation (p, x, q) of each point
q = (p + 1) % points.length;
for (var i = 0; i < points.length; i++) {
if (orientation(points[p], points[i], points[q]) === 2) {
q = i;
}
}
// set p as q for next iteration
p = q;
} while (p !== l);
// add back first hull point to complete line
hull.push(hull[0]);
// set return value
return hull;
}
});
html, body, #chart_div {
height: 100%;
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="chart_div"></div>
I have a bunch of stock charts rendered with Highstock charting API.
In an attempt to center the scrollbar handle for each chart, I use the following piece of code:
/* ============ Position chart scroll BEGIN ============ */
$(".highcharts-container").each(function () {
var scrollBar = $(this).find('.highcharts-scrollbar');
var scrollBarElms = scrollBar.find('rect');
var scrollBarTrackWidth = $(scrollBarElms[0]).attr("width");
var scrollBarHandleWidth = $(scrollBarElms[1]).attr("width");
var xPos = (scrollBarTrackWidth / 2) - (scrollBarHandleWidth / 2);
$(scrollBarElms[1]).attr("x", xPos);
});
/* ============ Position chart scroll END ============ */
The problem is that the handle and the 3 vertical lines that should 'decorate' it are separated. (You can see the entire thing HERE.)
Any suggestions on how to keep them together?
function getData() {
// generate an array of random data
var data = [],
time = (new Date()).getTime(),
i;
for (i = -999; i <= 0; i = i + 1) {
data.push([
time + i * 1000,
Math.round(Math.random() * 100)]);
}
return data;
}
function getRange(data) {
var l = data.length,
range = l * 0.1, // number of points -> 10%
min = data[Math.round(l / 2 - range / 2)][0],
max = data[Math.round(l / 2 + range / 2)][0];
return {
min: min,
max: max
};
}
/* ============ CHARTS OPTIONS BEGIN ============ */
var options = {
chart: {
zoomType: 'x',
events: {
load: function () {
// set up the updating of the chart each second
var series = this.series[0];
setInterval(function () {
var x = (new Date()).getTime();
var y = Math.round(Math.random() * 100);
series.addPoint([x, y]);
}, 1000);
}
}
},
xAxis: {
},
rangeSelector: {
buttons: [{
count: 1,
type: 'minute',
text: '1M'
}, {
count: 5,
type: 'minute',
text: '5M'
}, {
type: 'all',
text: 'All'
}],
inputEnabled: false,
selected: 0
},
title: {
text: null
},
exporting: {
enabled: false
},
// Disable navigator
navigator: {
enabled: false
},
series: [{
name: ''
}]
}
/* ============ CHARTS OPTIONS END ============ */
/* ============ DRAW CHARTS BEGIN ============ */
function renderCharts() {
$('div.chart-container').each(function () {
var chartId = $(this).attr('id');
var chartIdParts = chartId.split('-');
var chartIdentifier = chartIdParts[1];
//Set chart options dinamically
var chartId = "chart" + chartIdentifier;
var chart = $('#' + chartId);
var renderTo = "chartcontainer-" + chartIdentifier;
//Render Charts for each aech container
options.chart.renderTo = renderTo;
options.chart.type = 'line';
options.series[0].data = getData();
var range = getRange(options.series[0].data);
options.xAxis.min = range.min;
options.xAxis.max = range.max;
var chart = new Highcharts.StockChart($.extend(true, {}, options));
});
}
function setChatType() {
// Show types list (piker)
$('.current-type').on('click', function () {
$(this).parents('div.chart-options').find('ul.type ul').addClass('clicked');
});
$('.chart-options ul ul li a').on('click', function () {
//Get piked chart type
var type = $(this).parent('li').attr('data-chart-type');
// For text and Title Capitalization
var textAndTitle = type.replace(/^[a-z]/, function (m) {
return m.toUpperCase()
});
// Show piked type in picker
var currSetClass = 'current-type ' + type;
$(this).parents('.chart-options').find('.current-type')
.text(textAndTitle)
.attr({
class: currSetClass,
title: textAndTitle
});
// Then Hide the types list
$('.chart-options ul ul').removeClass('clicked');
//Identify current chart container by ID
var chartCtnId = $(this).parents('div.chart').find('.chart-container').attr('id');
// Render chart again with new type
options.chart.renderTo = chartCtnId;
options.chart.type = type;
var chart = new Highcharts.StockChart($.extend(true, {}, options));
});
}
/* ============ DRAW CHARTS END ============ */
$(document).ready(function () {
$("article.grid:even").addClass('left')
$("article.grid:odd").addClass('right');
// Draw charts
renderCharts();
// Set/change chart type
setChatType();
});
The entire solution can be found HERE.
Thanks to Paweł Fus for help!