I know this is a really dumb question but how to you install chartjs to use in a project ive looked at the documentation and it dosent say were or how to install it,i downloaded it from GitHub, I'm using xampp. thanks
If I understand correctly, you're looking to use ChartJS altogether. The package you download from Github includes a folder called Dist, which is where the distribution files are held.
Inside you'll find 4 files. Two are "bundles", which include Moment.JS used for time-scales. The other two don't. Finally, 2 are minified, the others aren't.
Basically, to "install" ChartJS, all you need to do is make sure it's getting referenced in your install. For the sake of simplicity, here's a CDN link of ChartJS v2.5:
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.5.0/Chart.min.js"></script>
Include that in the header of your page and you can now use ChartJS.
All we have to do now is render a chart:
<canvas id="myChart" width="400" height="400"></canvas>
Finally, initiate the chart. Here's the example code from the start of the docs:
<script>
var ctx = document.getElementById("myChart");
var myChart = new Chart(ctx, {
type: 'bar',
data: {
labels: ["Red", "Blue", "Yellow", "Green", "Purple", "Orange"],
datasets: [{
label: '# of Votes',
data: [12, 19, 3, 5, 2, 3],
backgroundColor: [
'rgba(255, 99, 132, 0.2)',
'rgba(54, 162, 235, 0.2)',
'rgba(255, 206, 86, 0.2)',
'rgba(75, 192, 192, 0.2)',
'rgba(153, 102, 255, 0.2)',
'rgba(255, 159, 64, 0.2)'
],
borderColor: [
'rgba(255,99,132,1)',
'rgba(54, 162, 235, 1)',
'rgba(255, 206, 86, 1)',
'rgba(75, 192, 192, 1)',
'rgba(153, 102, 255, 1)',
'rgba(255, 159, 64, 1)'
],
borderWidth: 1
}]
},
options: {
scales: {
yAxes: [{
ticks: {
beginAtZero:true
}
}]
}
}
});
</script>
Your page should now render a bar chart!
Check This
...
<script>
javascript
angular.module("app", ["chart.js"])
// Optional configuration
.config(['ChartJsProvider', function (ChartJsProvider) {
// Configure all charts
ChartJsProvider.setOptions({
chartColors: ['#FF5252', '#FF8A80'],
responsive: false
});
// Configure all line charts
ChartJsProvider.setOptions('line', {
showLines: false
});
}])
.controller("LineCtrl", ['$scope', '$timeout', function ($scope, $timeout) {
$scope.labels = ["January", "February", "March", "April", "May", "June", "July"];
$scope.series = ['Series A', 'Series B'];
$scope.data = [
[65, 59, 80, 81, 56, 55, 40],
[28, 48, 40, 19, 86, 27, 90]
];
$scope.onClick = function (points, evt) {
console.log(points, evt);
};
// Simulate async data update
$timeout(function () {
$scope.data = [
[28, 48, 40, 19, 86, 27, 90],
[65, 59, 80, 81, 56, 55, 40]
];
}, 3000);
}]);
</script>
</html>
Type in angular CLI - npm install --save chart.js
npm i chart.js
For more information about Chart.js, Visit https://installmd.com/i/javascript/chart-js
I've an Aurelia app on which I've to display some charts. I'm quite familiar with the MVVM pattern in .Net, but not in javascript.
I've installed Chart.js in my app. In my viewModel, I've imported it (import { Chart } from 'chart.js';).
In my view I've a prepared a Canva:
<canvas id="myChart" width="400" height="400"></canvas>
Now, how am I supposed to generate this chart? Because for me it's kind of a view issue for what I create, so should I create a <script> tag and put the creation code in it? How do I bind with the data that will come from the view models?
Do I need to do some <require from="..:"></require> in the view?
Or should I instantiate the chart from the ViewModel?(in that case, when should I create it since in the constructor, the dom element will already exist, and in my opinion this break the loosely coupled approach).
Thank you!
EDIT
Here is currently what I've after #valichek answer:
ViewModel:
import { Aurelia, inject } from 'aurelia-framework';
import { Router, RouterConfiguration } from 'aurelia-router';
import { Chart } from 'chart.js';
import { log } from "../services/log";
export class ClanChest {
viewCanva: HTMLCanvasElement;
constructor() {
}
public attached() {
log.info('Starting to attach');
var myChart = new Chart(this.viewCanva, {
type: 'bar',
data: {
labels: ["Red", "Blue", "Yellow", "Green", "Purple", "Orange"],
datasets: [{
label: '# of Votes',
data: [12, 19, 3, 5, 2, 3],
backgroundColor: [
'rgba(255, 99, 132, 0.2)',
'rgba(54, 162, 235, 0.2)',
'rgba(255, 206, 86, 0.2)',
'rgba(75, 192, 192, 0.2)',
'rgba(153, 102, 255, 0.2)',
'rgba(255, 159, 64, 0.2)'
],
borderColor: [
'rgba(255,99,132,1)',
'rgba(54, 162, 235, 1)',
'rgba(255, 206, 86, 1)',
'rgba(75, 192, 192, 1)',
'rgba(153, 102, 255, 1)',
'rgba(255, 159, 64, 1)'
],
borderWidth: 1
}]
},
options: {
scales: {
yAxes: [{
ticks: {
beginAtZero: true
}
}]
}
}
});
log.info('Finished');
}
}
View:
<template>
<h1>ClanChest</h1>
<canvas ref="viewCanva" width="400" height="400"></canvas>
</template>
The code is executed, I've no errors, but so far I've nothing displayed, the canva has been resized to 0x0 and that's it.
There are two places in VM: bind (data for the component are available) and attached (ready for DOM changes)
You can read more about component lifecycle here http://aurelia.io/hub.html#/doc/article/aurelia/framework/latest/creating-components/3
Also there is ref attribute that could be useful, when accessing the <canvas />
http://aurelia.io/hub.html#/doc/article/aurelia/binding/latest/binding-basics/5
Update: I have created own working example:
components/chartjs/chart.js
import {containerless} from 'aurelia-framework';
import ChartJs from 'chart.js'
#containerless()
export class Chart {
container;
constructor() {
}
attached() {
this.myChart = new ChartJs(this.container, {
type: 'bar',
data: {
labels: ["Red", "Blue", "Yellow", "Green", "Purple", "Orange"],
datasets: [{
label: '# of Votes',
data: [12, 19, 3, 5, 2, 3],
backgroundColor: [
'rgba(255, 99, 132, 0.2)',
'rgba(54, 162, 235, 0.2)',
'rgba(255, 206, 86, 0.2)',
'rgba(75, 192, 192, 0.2)',
'rgba(153, 102, 255, 0.2)',
'rgba(255, 159, 64, 0.2)'
],
borderColor: [
'rgba(255,99,132,1)',
'rgba(54, 162, 235, 1)',
'rgba(255, 206, 86, 1)',
'rgba(75, 192, 192, 1)',
'rgba(153, 102, 255, 1)',
'rgba(255, 159, 64, 1)'
],
borderWidth: 1
}]
},
options: {
scales: {
yAxes: [{
ticks: {
beginAtZero: true
}
}]
}
}
});
}
}
components/chartjs/chart.html:
<template>
<canvas ref="container" width="400" height="400"></canvas>
</template>
somewhere on page:
<require from="components/chartjs/chart"></require>
<chart></chart>
Note: this is just example, maybe you will need some optimizations, like checking and avoiding memory leaks if present when component is re-attached
So far I have been able to tokenize all of my documents, and use CountVectorizer and IDF from Spark's MLLib. I am trying to get the top 50 words from each document, but I am not sure how to sort the output of IDF.
onePer is a dataframe of document IDs and tokenized documents.
val tf = new CountVectorizer()
.setInputCol("text")
.setOutputCol("features").fit(onePer)
.transform(onePer).select("features").rdd
.map{x:Row => x.getAs[Vector](0)}
tf.cache()
val idf = new IDF().fit(tf)
val tfidf: RDD[Vector] = idf.transform(tf)
This is what my output looks like (number of words in vocab, id of word, word score). I would like to sort by score and get the top k:
(440,[0,2,3,4,5,6,7,8,9,10,12,15,17,18,19,22,23,24,25,26,27,28,30,31,32,33,34,35,39,41,43,45,47,49,51,52,53,55,57,63,66,69,70,71,74,76,79,80,83,84,85,88,94,95,96,97,99,102,106,107,109,111,117,120,121,124,127,128,129,138,142,145,146,149,154,156,164,166,167,170,171,176,187,189,199,203,204,217,218,219,232,234,236,237,238,240,248,250,251,254,259,263,265,267,280,291,296,302,304,309,319,322,328,333,347,361,364,371,375,384,388,393,395,401,403,433,438,439],[1.3559553712291716,3.9422868018213513,0.6369074622370692,7.795697904781566,3.153829441457081,0.0,5.519201522549892,0.3184537311185346,0.3184537311185346,1.3559553712291716,0.4519851237430572,0.4519851237430572,0.6061358035703155,1.0116009116784799,0.4519851237430572,0.7884573603642703,0.4519851237430572,2.0232018233569597,0.7884573603642703,8.523740461192126,0.6061358035703155,0.6061358035703155,0.6061358035703155,0.6061358035703155,0.7884573603642703,0.6061358035703155,0.6061358035703155,0.6061358035703155,0.7884573603642703,0.7884573603642703,1.0116009116784799,1.0116009116784799,2.0232018233569597,0.7884573603642703,0.7884573603642703,3.897848952390783,0.7884573603642703,0.7884573603642703,1.0116009116784799,5.114244276715276,1.0116009116784799,1.0116009116784799,2.5985659682605218,1.2992829841302609,1.2992829841302609,1.0116009116784799,1.0116009116784799,1.0116009116784799,1.0116009116784799,1.0116009116784799,2.5985659682605218,1.0116009116784799,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,3.4094961844768505,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,3.4094961844768505,1.2992829841302609,1.2992829841302609,1.2992829841302609,3.4094961844768505,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253])
Update
I was able to get this working by doing the following:
tfidf.map(x => x.toSparse).map{x => x.indices.zip(x.values)
.sortBy(-_._2)
.take(10)
.map(_._1)
}
This might help:
scala> val x = (440,Array[Int](0,2,3,4,5,6,7,8,9,10,12,15,17,18,19,22,23,24,25,26,27,28,30,31,32,33,34,35,39,41,43,45,47,49,51,52,53,55,57,63,66,69,70,71,74,76,79,80,83,84,85,88,94,95,96,97,99,102,106,107,109,111,117,120,121,124,127,128,129,138,142,145,146,149,154,156,164,166,167,170,171,176,187,189,199,203,204,217,218,219,232,234,236,237,238,240,248,250,251,254,259,263,265,267,280,291,296,302,304,309,319,322,328,333,347,361,364,371,375,384,388,393,395,401,403,433,438,439),Array[Double](1.3559553712291716,3.9422868018213513,0.6369074622370692,7.795697904781566,3.153829441457081,0.0,5.519201522549892,0.3184537311185346,0.3184537311185346,1.3559553712291716,0.4519851237430572,0.4519851237430572,0.6061358035703155,1.0116009116784799,0.4519851237430572,0.7884573603642703,0.4519851237430572,2.0232018233569597,0.7884573603642703,8.523740461192126,0.6061358035703155,0.6061358035703155,0.6061358035703155,0.6061358035703155,0.7884573603642703,0.6061358035703155,0.6061358035703155,0.6061358035703155,0.7884573603642703,0.7884573603642703,1.0116009116784799,1.0116009116784799,2.0232018233569597,0.7884573603642703,0.7884573603642703,3.897848952390783,0.7884573603642703,0.7884573603642703,1.0116009116784799,5.114244276715276,1.0116009116784799,1.0116009116784799,2.5985659682605218,1.2992829841302609,1.2992829841302609,1.0116009116784799,1.0116009116784799,1.0116009116784799,1.0116009116784799,1.0116009116784799,2.5985659682605218,1.0116009116784799,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,3.4094961844768505,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,3.4094961844768505,1.2992829841302609,1.2992829841302609,1.2992829841302609,3.4094961844768505,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.2992829841302609,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253,1.7047480922384253))
scala> val (r, indices, values) = x
r: Int = 440
indices: Array[Int] = Array(0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 15, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 39, 41, 43, 45, 47, 49, 51, 52, 53, 55, 57, 63, 66, 69, 70, 71, 74, 76, 79, 80, 83, 84, 85, 88, 94, 95, 96, 97, 99, 102, 106, 107, 109, 111, 117, 120, 121, 124, 127, 128, 129, 138, 142, 145, 146, 149, 154, 156, 164, 166, 167, 170, 171, 176, 187, 189, 199, 203, 204, 217, 218, 219, 232, 234, 236, 237, 238, 240, 248, 250, 251, 254, 259, 263, 265, 267, 280, 291, 296, 302, 304, 309, 319, 322, 328, 333, 347, 361, 364, 371, 375, 384, 388, 393, 395, 401, 403, 433, 438, 439)
values: Array[Double] = Array(1.3559553712291716, 3.9422868018213513, 0.6369074622370692, 7.795697904781566, 3.153829441457081, 0.0, 5.519201522549892, 0.3184537311185346, 0.31845373...
scala> val topTermIds = indices.zip(values).sortBy( - _._2).take(50).map(_._1)
topTermIds: Array[Int] = Array(26, 4, 7, 63, 2, 52, 109, 124, 138, 5, 70, 85, 24, 47, 176, 187, 189, 199, 203, 204, 217, 218, 219, 232, 234, 236, 237, 238, 240, 248, 250, 251, 254, 259, 263, 265, 267, 280, 291, 296, 302, 304, 309, 319, 322, 328, 333, 347, 361, 364)
Now you need to plug in above code into a closure, something like:
val topTermsByScore = rdd.map { v: Vector =>
// to sort decreasing use -
v.indices.zip(v.values).sortBy( - _._2).take(50).map(_._1)
}