I am visualizing multiple dataset on a Chart JS. Whenever I enable/disable a dataset. This dataset would create an instance of its data. On my case, it is xAxes.
and when I enable another dataset:
I want to disable creating another instance of xAxes and every it would share the same fixed axes.
xAxes: [{
type: 'time',
distribution: 'linear',
ticks: {
source: 'data'
},
time: {
parser: 'HH:mm:ss',
unit: 'hour',
unitStepSize: 1,
//min: '00:00:00',
//max: '23:59:59'
}
}],
Update: 1
I used round: 'hour', to include in xAxes.time. It looks fixed. However, I don't know why points always go to corners and spread freely with time as shown:
Update: 2
I removed
/*ticks: {
source: 'data'
},*/
Now it is scaled.
Removing the
ticks: {
source: 'data'
},
made the graph scaled with time.
Related
I`m struggling with the esthetic aspect of my chart. Actually it lookes like this:
Chart is showing data over time in 10mins intervals. With that number of labels it`s hard to see what column matches to time.
I would like to create ticks like on the image, so the chart would be way more readable. I looked into documentatnion and tried this but without effect:
scales: {
xAxes: [
{
ticks: {
drawTicks: true,
},
},
],
Pasting the answer from the comment section,
best way to work with ticks is by using callback function eg:
ticks: {
callback: function (value: any, index: any, ticks: any) {
return 'What you want to return';
},
}
Currently, I am creating quickcharts line graphs and attached it to my mail body. But the dataset is fetched using a mysql query and the dataset changes time to time. Here is my sample code.
$chartConfig = "{
type: 'line',
data: {
labels: [$date_array2],
datasets: [{
data: [$value_array2],
backgroundColor: ['#F5DEB3'],
fill: false,
}]
},
options: {
title: {
display: true,
text: 'UGW Max Daily Throughput, in Gbps',
},
legend: {
display: false
},
}
}";
In here both $date_array2 and $value_array2 are fetched using a mysql query. But now I need to make a scale to visualize this graph more clear, so I dont want to start the graph with zero. But I could not make min and max values since the dataset is changing day by day. What I need to do is, I need to check the dataset(only 7 day) and idenitify the min and max values and adjust the y axis. I have read https://www.chartjs.org/docs/2.9.4/charts/line.html but couldnot find a proper solution.. Can someone propose a method to do this?
I've had a request form a client to have the following chart replicated in HighCharts cloud, but I'm having difficulty figuring out how to make the first series show as a "floating gray bar" - or whatever it's called. Any suggestions on how I could achieve to this?
You can use columnrange series type to add the 'floating bar':
series: [{
type: 'column',
data: [...]
}, {
type: 'columnrange',
data: [...]
}]
Live demo: https://jsfiddle.net/BlackLabel/ys1x79uk/
API Reference: https://api.highcharts.com/highcharts/series.columnrange.data
I built a mapbox-gl js (v0.52) map where points are getting aggregated into clusters; much like in the clusters example from mapbox page.
The cluster color needs to be a function of an aggregation of individual points properties: For simplicity, say each point has a status property, which determine its color, and the color of a cluster should just be the color corresponding to the max of each of its points' status values.
Example geojson data would look like:
const geoData = {
type: 'FeatureCollection',
features: [
{
type: 'Feature',
properties: {
id: 'fakeid11',
status: 20,
},
geometry: {
type: 'Point',
coordinates: [-151.5129, 63.1016, 0]
}
},
{
type: 'Feature',
properties: {
id: 'fakeid22',
status: 10,
},
geometry: {
type: 'Point',
coordinates: [-150.4048, 63.1224, 105.5]
}
}
]
};
I am trying to use clusterProperties to compute the aggregation as described in the api docs, similar to this example from the source code, to create this layer:
map.addSource('earthquakes', {
type: 'geojson',
data: geoData,
cluster: true,
clusterMaxZoom: 14, // Max zoom to cluster points on
clusterRadius: 50, // Radius of each cluster when clustering points (defaults to 50)
clusterProperties: {
status: ['max', ['get', 'status']]
}
});
This snippet is exactly like the clusters example from mapbox page, just replacing the data by my static 2-elements copy, and adding clusterProperties.
However this throws a validation error (a bit mangled from the minified mapbox-gl version):
Error: sources.earthquakes: unknown property "clusterProperties"
at Object.Jr [as emitValidationErrors] (modules.js?hash=34588b9e7240c1a9b3fd2f8685e299d9dbbb40d9:504146)
at De (modules.js?hash=34588b9e7240c1a9b3fd2f8685e299d9dbbb40d9:504150)
at i._validate (modules.js?hash=34588b9e7240c1a9b3fd2f8685e299d9dbbb40d9:504150)
What is wrong with this clusterProperties usage? It would seem it is simply refusing to validate this property. Note that the map works ok (without the status aggregated property of course) if I comment the last 3 lines that set it.
I found the answer days later: The version of react-map-gl we were using had dependency on mapbox-gl ~0.52.0, which did not yet support clusterProperties. Support for these aggregated properties comes in mapbox-gl 0.53. (And since the react wrapper uses undocumented features of mapbox-gl, they depend on exact versions at patch level). This was confirmed by the react library developers.
Now react-map-gl 4.0.14 is released and it works ok with clusterProperties, using internally mapbox-gl 0.53.0.
I'm wondering if it is possible to zoom in on a slice in a pie chart.
My chart is modeled after this example jsfiddle example
chart: {
renderTo: 'container',
type: 'area',
zoomType: 'x',
}
But it doesn't seem to work with pie charts. Am I missing something here?
Ideally, I would have a pie chart with 2 layers, where the outer layer serves as a child of the inner layer. When selecting a child slice, I could then have an entire pie chart showing that slice alone, along with its own children, etc.
Unfortunaltely zoom is not allowed for Pie Charts as its properties show you
x: to zoom in x-axis
y: to zoom in y-axis
xy: to zoom in both axes
but you can use size property with JavaScript to show zooming.
size property demo
I think I found what I was actually looking for. It isn't zoom, but rather the option of capturing click events on slices.
In order to do that, one must use the allowPointSelect attribute, which can be added to a pie chart like this (just one of several different ways):
plotOptions: {
pie: {
shadow: false,
allowPointSelect: true,
},
}
Then in order to capture clicks one has to declare the events attribute in the series being used:
series: [{
name: 'Example',
data: [
{
name: 'Firefox',
value: 45.0
},
{
name: 'IE',
value: 26.8
},
{
name: 'Chrome',
value: 12.8,
},
],
size: '100%',
point: {
events: {
click: function() {
// some code to execute when clicking a slice
alert('Slice name: ' + this.name + ' and value: ' + this.value);
}
}
}
}]
Then in that click function, any javascript code can be executed, and the declared fields in the data can also be accessed. So a second pie chart could theoretically be created on the fly.