I have certain requirement where I need to override the auto calculated values for Y axis in highcharts. For eg.
Here, the gridlines plot area is equally divided into 100. I wanted to override this so that the negative plot area should be at a max of let's say 50 and the positive ones can remain the same. Even if I try the max, min, softMax, softMin, ceiling and floor properties, the result is the same. I was thinking of using a secondary axis but then there is only one data in the series which would render the second one useless. I don't think using setExtremes() will be helpful either. I'm hoping to avoid modifying the library itself to add a certain option but it'll be helpful if such an option already exists in highcharts. Any suggestions?
Use tickPositions or tickPositioner property:
yAxis: {
tickPositions: [-50, 0, 100, 200, 300, 400]
}
Live demo: http://jsfiddle.net/BlackLabel/6m4e8x0y/4883/
API Reference:
https://api.highcharts.com/highcharts/yAxis.tickPositions
https://api.highcharts.com/highcharts/yAxis.tickPositioner
Is it possible to remove certain days in highcharts? I have a chart that only get data intervals from Monday to Friday. The problem Is that Saturday and Sunday is auto added to the graph even when there is no data for these days. I cant find anything that helps on api.highcharts.com they usually have solutions to all graph related problems but I cant seem to find anything about my problem. It's probably some easy option in the chart but I cant find anything that works.
You have two options, use highcharts and breaks.
An array defining breaks in the axis, the sections defined will be left out and all the points shifted closer to each other.
Requires that the broken-axis.js module is loaded.
It would look something like this, in a datetime axis:
xAxis: {
tickInterval: 1,
breaks: [{
from: 1537567200000,
to: 1537740000000,
breakSize: 1
}]
}
Working example: http://jsfiddle.net/ewolden/L3ykegzq/
Or switch to highstock where you can have an ordinal axis (ordinal is used by default):
In an ordinal axis, the points are equally spaced in the chart regardless of the actual time or x distance between them. This means that missing data periods (e.g. nights or weekends for a stock chart) will not take up space in the chart. Having ordinal: false will show any gaps created by the gapSize setting proportionate to their duration.
Working example: http://jsfiddle.net/gh/get/library/pure/highcharts/highcharts/tree/master/samples/stock/xaxis/ordinal-true/
I'm trying to implement a heatmap in highcharts with a logarithmic colorAxis, however, I keep getting highcharts error #10 (can't plot zero or subzero values on a logarithmic axis).
As I'm trying to apply the logarithmic property to the color axis and not the actual axis themselves, I believe my problem is caused by some of my bins having a frequency of zero (A heatmap colors by the frequency in each bin).
How can I get around this? Can I create a default function so that when a frequency is zero it assigns that bin a default color? I can't find any solutions in the docs.
Currently, my colorAxis object looks like this
colorAxis: {
type: 'logarithmic',
minColor: '#EEEEFF',
maxColor: '#000022',
stops: [
[0, '#EFEFFF'],
[0.67, '#4444FF'],
[1, '#000022']
]
}
My solution was to iterate through my data and change all the zeros to an extremely small number then set a min property on the colorAxis so the extremely small numbers would not interfere with the color scheme. This is obviously not the best solution because if the third dimension was measuring something other than frequency and this other thing could be a fraction less than 1 then the extremely small value could overlay with actual data and throw off the color scheme. Hopefully someone comes along and provides a better solution, but for now this is all the insight I have to give.
Logarithm doesn't have any value in 0 so your solution seems pretty neat. You need to apply some offset to the values that equal 0 - there's no other way.
If you want to be more consistent you can apply the offset to all the values. Then apply formatters(tooltip, data labels, color axis' labels) so that the user sees the value without the offset.
Live demo: http://jsfiddle.net/kkulig/jdf5wrdL/
I am trying to get a larger amount of data. Sample data is below
1850/01 -0.845 -0.922 -0.748 -1.038 -0.652 -1.379 -0.311 -1.053 -0.636 -1.418 -0.272
1850/02 -0.043 -0.113 0.047 -0.244 0.159 -0.613 0.528 -0.260 0.177 -0.653 0.569
1850/03 -0.698 -0.794 -0.633 -0.891 -0.506 -1.123 -0.274 -0.910 -0.495 -1.174 -0.229
……….
2016/12 0.795 0.746 0.828 0.756 0.834 0.586 1.005 0.731 0.848 0.575 1.010
2017/01 1.025 0.977 1.067 0.983 1.068 0.786 1.265 0.963 1.084 0.778 1.271
2017/02 1.151 1.098 1.198 1.112 1.191 0.957 1.346 1.089 1.208 0.946 1.352
which starts from 1850 until 2017 and every month. I am processing this dataset to use it in Highcharts like this
$.each(lines, function(index, row) {
var cells = row.split(','),
series = {
type: 'line',
data:[]
};
$.each(cells, function(itemNo, item) {
if (itemNo == 0) {
series.name = item;
} else {
series.data.push(parseFloat(item));
}
});
data.push(series);
});
And I use it in following way
chart = $('#container').highcharts({
chart: {
polar: true
},
series: data
});
This does work however, it is really really slow. How can I improve/enhance its performance so that I the highcharts gets loaded quickly without freezing the browser?
UPDATE
Here is my xAxis
xAxis: {
tickInterval: 1,
min: 0,
max: 12,
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],
},
UPDATE 2
yAxis: {
min: -1,
max: 2.2,
endOnTick: false,
title: {
text: 'Temperature (°C)'
},
plotLines: [{
value: 2,
width: 1,
label: {
text: '2°C',
align: 'right',
y: 2
},
color: 'red'
}, {
value: 1.5,
width: 1,
label: {
text: '1.5°C',
align: 'right',
y: 30
},
color: 'red'
}],
},
I think this problem will require a combination of the solutions proposed by others. These include:
Condensing the data: If I understand correctly, then you have 167 years of data and 12 months per year. Each of these will be a series, for a total of >2000 series. I'm not sure this will create an interpretable graph, but it's also likely I misunderstand the nature of your data and how you plan to plot it.
Using the boost.js module of Highcharts: Highcharts normally renders its graphs as SVGs. My understanding of the boost.js module is that it causes some parts of the charts to be rendered on HTML5 canvas elements. The HTML5 canvas is much faster than SVG for large numbers of data points. See an empirical comparison here: SVG vs canvas: how to choose
Setting chart options to minimize resource requirements: I believe that the slowdown you're experiencing is unlikely to be due to the processing of your data. Rather, I think it's almost certainly due primarily to the rendering time required by Highcharts, and browser resources required to monitor events on all of the chart elements. By default, for instance, Highcharts plots allow you to "hover" your mouse over data points to highlight them, and they display tooltips with information about the data point. If you have a plot with thousands of data points, then this requires your browser to handle thousands of mouse events over the chart objects. Turning off this chart features should improve performance. In the demo below, I've turned off tooltips and data point highlighting using the mouse. I've also turned off the legend, to improve visibility of the chart.
You can process and update the data in chunks: In the long run, this will actually take more time than if you were to render the chunk all in one go, because Highcharts has to redraw the chart each time you add a new series. However, it might lead to a better user experience, since the page will appear more responsive. The demo below utilizes this type of approach. It allows you to set the number of lines of data to process per chunk (linesPerChunk) and the time delay between one chunk finishes processing and when you want to begin processing the next chunk (timeBetweenChunks). Ideally, timeBetweenChunks would be set to the time it takes Highcharts to render and display the last chunk, so that the computer alternates between processing data and rendering data, with no unproductive gaps in between. Ideally one could set this adaptively so that it's optimal across computers/users/browsers/etc., but I'm not sure how to do this; any ideas would be welcome. So for the moment it's just set to a constant 100 ms. With 2000 lines of data, 100 lines per chunk of data, and 100 ms between chunks, the whole thing should take ~2 s to load. The key function is plotMoreData(). After processing a chunk and adding the new series to the chart, it calls itself with a delay of timeBetweenChunks using window.setTimeout(plotMoreData, timeBetweenChunks). It then redraws the chart. When plotMoreData gets called the next time, it processes the next chunk, and so on. It stops when it's processed and displayed all the data and also updates the status message.
EDIT:
It seems the Highcharts boost module does not work with polar charts, and this is a known issue. A fix is described here: Polar Scatter Using Boost Module. I was able to get this fix to work by modifying boost.src.js (built from the Highcharts Github repository as follows:
At ~line 1380, I replaced:
if (!settings.useGPUTranslations) {
inst.skipTranslation = true;
x = xAxis.toPixels(x, true);
y = yAxis.toPixels(y, true);
}
with:
if (!settings.useGPUTranslations) {
inst.skipTranslation = true;
// Default (non-Polar) calculation
if( !series.chart.polar ) {
x = xAxis.toPixels(x, true);
y = yAxis.toPixels(y, true);
}
// Handle Polar chart coordinate conversion
else {
var polarPoint = {
plotX: xAxis.translate( x, 0, 0, 0, 1, series.options.pointPlacement, series.type === 'flags' ),
plotY: yAxis.translate( y, 0, 1, 0, 1 )
};
series.toXY( polarPoint );
x = Math.round( polarPoint.plotX );
y = Math.round( polarPoint.plotY );
}
}
This seemed to work. See the demo here: JSFiddle Polar Highcharts Boost Demo
Given the data you are displaying is not updating once a month, I feel like generating the chart for every view is a big waste of resources for your clients.
Indeed, it would be pretty easy for you to generate the chart without changing anything that you are doing now, but then extracting the resulting SVG and serving it simply to your visitors.
For that you simply have to use the getSVG method of HighCharts, that will return the SVG in a stringified form.
I don't really know if you want to have some sort of process to auto update the chart, but you could use a cron job for this purpose. Keep in mind that you would have to do something anyway even with your initial approach to update the data.
Regarding your script, first thing to notice is that you are using $.each, which is pretty bad in term of performance comparing to the vanilla equivalents. As demonstrated by this jsPerf, I get 3,649 Op/s with $.each whereas for loops could get you up to 202,755 Op/s which is insanely faster! Since you also doing a double loop, the difference would be ^2.
But again, since the data is not updated often, this part of the script could be removed entirely and converted into a JSON corresponding to the output of the function, that HighCharts could load directly, skipping the entire processing and transformation of your CSV.
If using HighCharts is not a requirement, you could use react-vis, which is a collection of React components focused around Data Visualization. It's build as an api on top of SVG, .
I've made a demo that you can checkout on CodePen with the same data as you to plot the monthly temperatures since 1850.
const {
HorizontalGridLines,
XAxis,
XYPlot,
YAxis,
LineMarkSeries,
} = reactVis
const color = d3.scaleLinear()
.domain([1850, 2017])
.range(['yellow', 'red'])
const Chart = () => (
<XYPlot width={window.innerWidth - 100} height={window.innerHeight - 100}>
<XAxis title='Month' />
<YAxis title='Temperature' />
<HorizontalGridLines />
{Object.keys(data).map(key => (
<LineMarkSeries color={color(key)} data={data[key]} key={key} />
))}
</XYPlot>
)
ReactDOM.render(<Chart />, document.querySelector('#root'))
I also use the scaleLinear method of d3 to see the change over the years since I thought it would be an interesting information to show, but it can be changed depending of your needs.
It's using SVGs, but we are also working on integration with webgl by the intermediary of deck.gl which would allow for even more optimizations gains, still not ready yet and I'm not sure you would really need that much, but worth noting.
Disclaimer: I currently work for Uber, which made deck.gl and react-vis.
new Array(length)
Specify the array's length rather than creating an empty array. Writing to an existing offset in an array is substantially faster than creating a new offset each time you write an item.
var data = new Array(lines.length); // Specify array length
$.each(lines, function(index, row) {
var cells = row.split(','),
series = {
type: 'line',
data: new Array(cells.length) // Specify array length
};
$.each(cells, function(itemNo, item) {
if (itemNo == 0) {
series.name = item;
} else {
series.data.push(parseFloat(item));
}
});
data.push(series);
});
I'd use underscore.js.
var result = _.map(lines, function (row) {
return { type: 'line', series: _.map(row.data, function (item, index) {
if (index >= 1)
return parseFloat(item);
}), name: row.data[0]}
});
(I'm writing this from my phone on a plane, so my apologies if there is are any typos or things I'm missing. Just trying to help!)
You don't show what is your choice for the xAxis, but if massaging the data in the server side is not an option what I would suggest is:
First do a call to load the data.
Show at spinning wheel where the chart is going to be displayed
Start parsing the dataset but don't load it all at once but in batches and redraw the chart as you parse the rest of the file.
This should avoid the freezing and give the visual indication that the data is being loaded.
Edit: Response to comment
I don't think is any longer an issue loading the data but on how to display the data in a meaningful way. Even if it loads in 2 seconds the result would be thousands of lines overlapping and totally unreadable.
You should default few hand picked values (ex Current month and same month and 1, 5, 10 years ago) and then allow the user to change the selection select up to a reasonable number of years/month (ex Compare July for 1980, 2010 and 2017) then plot those values updating the chart with (chart.series[0].update(....).
There were no columns in the dataset so I assumed it was a column per month but I see now that they seem to be one per row and 11 columns represent some other data.
I don't think for a polar chart doing averages or doing rollups of the data is the best way to go but allowing to compare specific years and month with the exact data, whatever those values are :)
Situation:
I think the best and more appropriate solution would be to process and serve chunks of data, it would synchronize the display of points on your Chart and avoid loading the whole data once on document load, even if your data isn't as large as you described it in your post title.
But after reading your question, your comments and other posts, I can see that you are getting all data from one file, and you aren't processing data on server side so server side chunks is not an option for you.
Alternative:
Well if you can't process your data on server side why don't you process it on client side, HighCharts has two options for you:
Data grouping:
You can follow Highstock Demos › 52,000 points with data grouping.
Lazy Async loading:
You can follow Highstock Demos › 1.7 million points with async loading.
The both Demos show how to fetch data by ranges and limit the chart to display only relevant range data points, which will improve time loading performances.
my team came across the similar problem but in our case we had 3 nested loops and when it was processing the data it was blocking the main thread which caused bad user experience. so i tackled this problem by deferring the processing data. which did the desired job of not blocking the main thread and did the processing much faster.
you can also use boost module developed by highchart (https://www.highcharts.com/blog/news/175-highcharts-performance-boost/)
I'm using Highcharts for a project in which I have to display two series with about a thousand points each. The x-axis represents a date, and the y-axis a quantity. In addition, each point has an associated list of namesMy data is day-by-day without gaps, with a structure such as
var mydata = [ ...
{x: theDate, y: theValue, names: theNames},
... ]
where theNames is an array of strings. I can access these in the tooltip formatter through this.points.point.names, given that the range displayed on the chart is small enough. If I change the x-axes so that the start date and end date are more than roughly a year apart, then the tooltip is not rendered at all.
One of the possible avenues that I have tried but failed with so far is setting the turboThreshold limit to the length of the longest series plus 1. Setting this lets me at least display a graph when mydata.length > 1000 (the default value). However, this only displays the tooltip if the x-axis range is less than 261. Otherwise, the tooltip disappears entirely, as does the point.data object where I'm getting the name from.
I'm also not great at JavaScript, but I was wondering if there were a way to separate the names of the points from the array containing them (in my examples, myData1 and myData2) and somehow access those names from the tooltip function without going through the current point.
Here is the link to the jsFiddle demonstrating this issue.
All help is appreciated!
The problem is in dataGrouping, when disabled works fine: http://jsfiddle.net/34tfg/1/
DataGrouping is method in Highcharts to approximate points and display them when width of the chart is not enough, e.g. how to display 10 000points in a chart of width 1 000px -> 10 points in a one pixel..? And when dataGrouping is used, new points are created, so all your custom options like 'names' etc. are lost (at least not accessible).
Code:
plotOptions: {
line: {
dataGrouping: {
enabled: false
},
turboThreshold: 10000
}
},