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spotify-lib-vis
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Merge branch 'master' of https://github.com/Kevin-Mok/spotify-lib-vis into apps

master
Kevin Mok 7 years ago
parent
23126ba823 4811e1b623
commit
344fb2760e
5 changed files with 136 additions and 127 deletions
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  1. 24
      graphs/static/graphs/scripts/artist_graph.js
  2. 105
      graphs/static/graphs/scripts/audio_feat_graph.js
  3. 8
      graphs/templates/graphs/artist_graph.html
  4. 124
      graphs/templates/graphs/features_graphs.html
  5. 2
      reset_db.sh

24
graphs/static/graphs/scripts/artist_graph.js
View File

@ -5,13 +5,25 @@
*/
function drawArtistGraph(artistData, parentElem) {
let margin = {top: 20, right: 30, bottom: 30, left: 40};
let width = 960 - margin.right - margin.left;
let height = 540 - margin.top - margin.bottom;
let width = 1000 - margin.right - margin.left;
let height = 1000 - margin.top - margin.bottom;
let color = d3.scaleOrdinal(d3.schemeCategory10);
/*
** Next four variables were part of an attempt to make bubbles larger,
** didn't work
*/
let songCounts = artistData.children.map(function(artist) { return artist.num_songs; }); // array of counts
let songCountExtent = d3.extent(songCounts); // [min song count, max song count]
let circleSize = {
min: 45,
max: 75
};
let circleRadiusScale = d3.scaleSqrt().domain(songCountExtent).range([circleSize.min, circleSize.max]);
let bubble = d3.pack(artistData)
.size([width, height])
.padding(1.5);
.size([width + 100, height + 100])
.padding(0.2);
let svg = d3.select(parentElem)
.append("svg")
@ -23,7 +35,7 @@ function drawArtistGraph(artistData, parentElem) {
.sum(function(d) { return d.num_songs; });
let node = svg.selectAll(".node")
.data(bubble(nodes).descendants())
.data(bubble(nodes).leaves())
.enter()
.filter(function(d) {
return !d.children;
@ -36,7 +48,7 @@ function drawArtistGraph(artistData, parentElem) {
node.append("title")
.text(function(d) {
return `${d.name}: ${d.num_songs}`;
return d.data.name + ": " + d.data.num_songs;
});
node.append("circle")

105
graphs/static/graphs/scripts/audio_feat_graph.js
View File

@ -0,0 +1,105 @@
/** Queries the backend for audio feature data, draws the bar chart
* illustrating the frequencies of values, and appends the chart to
* a designated parent element
*
* @param audioFeature: the name of the audio feature (string)
* @param intervalEndPoints: a sorted array of 5 real numbers defining the intervals (categories) of values,
* for example:
* [0, 0.25, 0.5, 0.75, 1.0] for instrumentalness would define ranges
* (0-0.25), (0.25-0.5), (0.5-0.75), (0.75-1.0)
* @param parentElem: the DOM element to append the graph to (a selector string)
* @param userSecret: the user secret string for identification
* @return None
*/
function drawAudioFeatGraph(audioFeature, intervalEndPoints, parentElem, userSecret) {
// TODO: Not hard code the dimensions?
let margin = {top: 20, right: 30, bottom: 30, left: 40};
let width = 480 - margin.left - margin.right,
height = 270 - margin.top - margin.bottom;
let featureData = {};
// Create the keys first in order
for (let index = 0; index < intervalEndPoints.length - 1; index++) {
let key = `${intervalEndPoints[index]} ~ ${intervalEndPoints[index + 1]}`;
featureData[key] = 0;
}
// define the vertical scaling function
let vScale = d3.scaleLinear().range([height, 0]);
d3.json(`/api/audio_features/${audioFeature}/${userSecret}`)
.then(function(response) {
// categorize the data points
for (let dataPoint of response.data_points) {
dataPoint = parseFloat(dataPoint);
let index = intervalEndPoints.length - 2;
// find the index of the first element greater than dataPoint
while (dataPoint < intervalEndPoints[index]) {
index -= 1;
}
let key = `${intervalEndPoints[index]} ~ ${intervalEndPoints[index + 1]}`;
featureData[key] += 1;
}
let dataSet = Object.values(featureData);
let dataRanges = Object.keys(featureData); // Ranges of audio features, e.g. 0-0.25, 0.25-0.5, etc
let dataArr = [];
// turn the counts into an array of objects, e.g. {range: "0-0.25", counts: 5}
for (let i = 0; i < dataRanges.length; i++) {
dataArr.push({
range: dataRanges[i],
counts: featureData[dataRanges[i]]
});
}
vScale.domain([0, d3.max(dataSet)]).nice();
let hScale = d3.scaleBand().domain(dataRanges).rangeRound([0, width]).padding(0.5);
let xAxis = d3.axisBottom().scale(hScale);
let yAxis = d3.axisLeft().scale(vScale);
let featureSVG = d3.select(parentElem)
.append('svg').attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom);
let featureGraph = featureSVG.append("g")
.attr("transform", `translate(${margin.left}, ${margin.top})`)
.attr("fill", "teal");
featureGraph.selectAll(".bar")
.data(dataArr)
.enter().append('rect')
.attr('class', 'bar')
.attr('x', function(d) { return hScale(d.range); })
.attr('y', function(d) { return vScale(d.counts); })
.attr("height", function(d) { return height - vScale(d.counts); })
.attr("width", hScale.bandwidth());
// function(d) { return hScale(d.range); }
featureGraph.append('g')
.attr('class', 'axis')
.attr('transform', `translate(0, ${height})`)
.call(xAxis);
featureGraph.append('g')
.attr('class', 'axis')
.call(yAxis);
featureSVG.append("text")
.attr('x', (width / 2))
.attr('y', (margin.top / 2))
.attr('text-anchor', 'middle')
.style('font-size', '14px')
.text(`${capFeatureStr(audioFeature)}`);
});
}
/**
* Returns the audio feature name string with the first letter capitalized
* @param audioFeature: the name of the audio feature
* @returns the audio feature name string with the first letter capitalized
*/
function capFeatureStr(audioFeature) {
return audioFeature.charAt(0).toUpperCase() + audioFeature.slice(1);
}

8
graphs/templates/graphs/artist_graph.html
View File

@ -9,14 +9,10 @@
<script src="https://d3js.org/d3.v5.js"></script>
<script src="{% static "graphs/scripts/artist_graph.js" %}"></script>
<script>
d3.json("{% url "api:get_artist_data" user_secret %}").then(function(data) {
for (let index = 0; index < data.length; index++) {
console.log(data[index].name);
console.log(data[index].num_songs);
}
d3.json("{% url "api:get_artist_data" user_secret %}").then(function(data) {
// this is the data format needed for bubble charts
data = {
"children": data
children: data
};
drawArtistGraph(data, "body");
});

124
graphs/templates/graphs/features_graphs.html
View File

@ -21,121 +21,17 @@
<p class="browsehappy">You are using an <strong>outdated</strong> browser. Please <a href="#">upgrade your browser</a> to improve your experience.</p>
<![endif]-->
<script src="https://d3js.org/d3.v5.js"></script>
<script src="{% static "graphs/scripts/audio_feat_graph.js" %}"></script>
<script type="text/javascript">
/** Queries the backend for audio feature data, draws the bar chart
* illustrating the frequencies of values, and appends the chart to
* a designated parent element
*
* @param audioFeature: the name of the audio feature (string)
* @param intervalEndPoints: a sorted array of 5 real numbers defining the intervals (categories) of values,
* for example:
* [0, 0.25, 0.5, 0.75, 1.0] for instrumentalness would define ranges
* (0-0.25), (0.25-0.5), (0.5-0.75), (0.75-1.0)
* @param parentElem: the DOM element to append the graph to (a selector string)
* @return None
*/
function drawAudioFeatGraph(audioFeature, intervalEndPoints, parentElem) {
// TODO: Not hard code the dimensions?
let margin = {top: 20, right: 30, bottom: 30, left: 40};
let width = 480 - margin.left - margin.right,
height = 270 - margin.top - margin.bottom;
let featureData = {};
// Create the keys first in order
for (let index = 0; index < intervalEndPoints.length - 1; index++) {
let key = `${intervalEndPoints[index]} ~ ${intervalEndPoints[index + 1]}`;
featureData[key] = 0;
}
// define the vertical scaling function
let vScale = d3.scaleLinear().range([height, 0]);
d3.json(`/api/audio_features/${audioFeature}/{{ user_secret }}`)
.then(function(response) {
// categorize the data points
for (let dataPoint of response.data_points) {
dataPoint = parseFloat(dataPoint);
let index = intervalEndPoints.length - 2;
// find the index of the first element greater than dataPoint
while (dataPoint < intervalEndPoints[index]) {
index -= 1;
}
let key = `${intervalEndPoints[index]} ~ ${intervalEndPoints[index + 1]}`;
featureData[key] += 1;
}
let dataSet = Object.values(featureData);
let dataRanges = Object.keys(featureData); // Ranges of audio features, e.g. 0-0.25, 0.25-0.5, etc
let dataArr = [];
// turn the counts into an array of objects, e.g. {range: "0-0.25", counts: 5}
for (let i = 0; i < dataRanges.length; i++) {
dataArr.push({
range: dataRanges[i],
counts: featureData[dataRanges[i]]
});
}
vScale.domain([0, d3.max(dataSet)]).nice();
let hScale = d3.scaleBand().domain(dataRanges).rangeRound([0, width]).padding(0.5);
let xAxis = d3.axisBottom().scale(hScale);
let yAxis = d3.axisLeft().scale(vScale);
let featureSVG = d3.select(parentElem)
.append('svg').attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom);
let featureGraph = featureSVG.append("g")
.attr("transform", `translate(${margin.left}, ${margin.top})`)
.attr("fill", "teal");
featureGraph.selectAll(".bar")
.data(dataArr)
.enter().append('rect')
.attr('class', 'bar')
.attr('x', function(d) { return hScale(d.range); })
.attr('y', function(d) { return vScale(d.counts); })
.attr("height", function(d) { return height - vScale(d.counts); })
.attr("width", hScale.bandwidth());
// function(d) { return hScale(d.range); }
featureGraph.append('g')
.attr('class', 'axis')
.attr('transform', `translate(0, ${height})`)
.call(xAxis);
featureGraph.append('g')
.attr('class', 'axis')
.call(yAxis);
featureSVG.append("text")
.attr('x', (width / 2))
.attr('y', (margin.top / 2))
.attr('text-anchor', 'middle')
.style('font-size', '14px')
.text(`${capFeatureStr(audioFeature)}`);
});
}
/**
* Returns the audio feature name string with the first letter capitalized
* @param audioFeature: the name of the audio feature
* @returns the audio feature name string with the first letter capitalized
*/
function capFeatureStr(audioFeature) {
return audioFeature.charAt(0).toUpperCase() + audioFeature.slice(1);
}
drawAudioFeatGraph("instrumentalness", [0, 0.25, 0.5, 0.75, 1.0], 'body');
drawAudioFeatGraph("valence", [0, 0.25, 0.5, 0.75, 1.0], 'body');
drawAudioFeatGraph("energy", [0, 0.25, 0.5, 0.75, 1.0], 'body');
drawAudioFeatGraph("tempo", [40, 80, 120, 160, 200], 'body');
drawAudioFeatGraph("danceability", [0, 0.25, 0.5, 0.75, 1.0], 'body');
drawAudioFeatGraph("acousticness", [0, 0.25, 0.5, 0.75, 1.0], 'body');
drawAudioFeatGraph("loudness", [-60, -45, -30, -15, 0], 'body');
drawAudioFeatGraph("speechiness", [0, 0.25, 0.5, 0.75, 1.0], 'body');
let userSecret = "{{ user_secret }}";
drawAudioFeatGraph("instrumentalness", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
drawAudioFeatGraph("valence", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
drawAudioFeatGraph("energy", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
drawAudioFeatGraph("tempo", [0, 40, 80, 120, 160, 200], 'body', userSecret);
drawAudioFeatGraph("danceability", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
drawAudioFeatGraph("acousticness", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
drawAudioFeatGraph("loudness", [-60, -45, -30, -15, 0], 'body', userSecret);
drawAudioFeatGraph("speechiness", [0, 0.25, 0.5, 0.75, 1.0], 'body', userSecret);
</script>
</body>
</html>

2
reset_db.sh
View File

@ -7,7 +7,7 @@
# if $INVENV is 1, then in virtualenv
# echo $INVENV
# if [ $INVENV -eq 1 ]; then
rm login/migrations/0* api/migrations/0* graphs/migrations/0*
rm login/migrations/0* api/migrations/0*
sudo -u postgres psql -f reset_db.sql
python manage.py makemigrations
python manage.py migrate

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