Introducing Horizon charts (#472)

* Introducing Horizon charts

* JS Lintin
This commit is contained in:
Maxime Beauchemin 2016-05-16 22:49:12 -07:00
parent 1766f6edd6
commit d1f0276408
7 changed files with 289 additions and 1 deletions

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@ -28,7 +28,8 @@ var sourceMap = {
word_cloud: 'word_cloud.js',
world_map: 'world_map.js',
treemap: 'treemap.js',
cal_heatmap: 'cal_heatmap.js'
cal_heatmap: 'cal_heatmap.js',
horizon: 'horizon.js'
};
var color = function () {

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@ -0,0 +1,17 @@
.horizon .slice_container div.horizon {
border-bottom: solid 1px #444;
border-top: 0px;
padding: 0px;
margin: 0px;
}
.horizon span {
left: 5;
position: absolute;
color: black;
text-shadow: 1px 1px rgba(255, 255, 255, 0.75);
}
.horizon .slice_container {
overflow: auto;
}

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@ -0,0 +1,237 @@
// Copied and modified from
// https://github.com/kmandov/d3-horizon-chart
var d3 = require('d3');
require('./horizon.css');
var horizonChart = function () {
var colors = ["#313695", "#4575b4", "#74add1", "#abd9e9", "#fee090", "#fdae61", "#f46d43", "#d73027"];
var bands = colors.length >> 1; // number of bands in each direction (positive / negative)
var width = 1000;
var height = 30;
var offsetX = 0;
var spacing = 0;
var mode = 'offset';
var axis = null;
var title = null;
var extent = null; // the extent is derived from the data, unless explicitly set via .extent([min, max])
var x = null;
var y = d3.scale.linear().range([0, height]);
var canvas = null;
var b;
function my(data) {
var horizon = d3.select(this);
var step = width / data.length;
horizon.append('span')
.attr('class', 'title')
.text(title);
horizon.append('span')
.attr('class', 'value');
canvas = horizon.append('canvas');
canvas
.attr('width', width)
.attr('height', height);
var context = canvas.node().getContext('2d');
context.imageSmoothingEnabled = false;
// update the y scale, based on the data extents
var _extent = extent || d3.extent(data, function (d) { return d.y; });
var max = Math.max(-_extent[0], _extent[1]);
y.domain([0, max]);
//x = d3.scaleTime().domain[];
axis = d3.svg.axis(x).ticks(5);
context.clearRect(0, 0, width, height);
//context.translate(0.5, 0.5);
// the data frame currently being shown:
var startIndex = ~~ Math.max(0, -(offsetX / step));
var endIndex = ~~ Math.min(data.length, startIndex + width / step);
// skip drawing if there's no data to be drawn
if (startIndex > data.length) {
return;
}
// we are drawing positive & negative bands separately to avoid mutating canvas state
// http://www.html5rocks.com/en/tutorials/canvas/performance/
var negative = false;
// draw positive bands
var i, value, bExtents;
for (b = 0; b < bands; b++) {
context.fillStyle = colors[bands + b];
// Adjust the range based on the current band index.
bExtents = (b + 1 - bands) * height;
y.range([bands * height + bExtents, bExtents]);
// only the current data frame is being drawn i.e. what's visible:
for (i = startIndex; i < endIndex; i++) {
value = data[i].y;
if (value <= 0) { negative = true; continue; }
if (value === undefined) {
continue;
}
context.fillRect(offsetX + i * step, y(value), step + 1, y(0) - y(value));
}
}
// draw negative bands
if (negative) {
// mirror the negative bands, by flipping the canvas
if (mode === 'offset') {
context.translate(0, height);
context.scale(1, -1);
}
for (b = 0; b < bands; b++) {
context.fillStyle = colors[bands - b - 1];
// Adjust the range based on the current band index.
bExtents = (b + 1 - bands) * height;
y.range([bands * height + bExtents, bExtents]);
// only the current data frame is being drawn i.e. what's visible:
for (var ii = startIndex; ii < endIndex; ii++) {
value = data[ii].y;
if (value >= 0) {
continue;
}
context.fillRect(offsetX + ii * step, y(-value), step + 1, y(0) - y(-value));
}
}
}
}
my.axis = function (_) {
if (!arguments.length) { return axis; }
axis = _;
return my;
};
my.title = function (_) {
if (!arguments.length) { return title; }
title = _;
return my;
};
my.canvas = function (_) {
if (!arguments.length) { return canvas; }
canvas = _;
return my;
};
// Array of colors representing the number of bands
my.colors = function (_) {
if (!arguments.length) {
return colors;
}
colors = _;
// update the number of bands
bands = colors.length >> 1;
return my;
};
my.height = function (_) {
if (!arguments.length) { return height; }
height = _;
return my;
};
my.width = function (_) {
if (!arguments.length) { return width; }
width = _;
return my;
};
my.spacing = function (_) {
if (!arguments.length) { return spacing; }
spacing = _;
return my;
};
// mirror or offset
my.mode = function (_) {
if (!arguments.length) { return mode; }
mode = _;
return my;
};
my.extent = function (_) {
if (!arguments.length) { return extent; }
extent = _;
return my;
};
my.offsetX = function (_) {
if (!arguments.length) { return offsetX; }
offsetX = _;
return my;
};
return my;
};
function horizonViz(slice) {
function refresh() {
d3.json(slice.jsonEndpoint(), function (error, payload) {
var fd = payload.form_data;
if (error) {
slice.error(error.responseText);
return '';
}
var div = d3.select(slice.selector);
div.selectAll('*').remove();
var extent = null;
if (fd.horizon_color_scale === 'overall') {
var allValues = [];
payload.data.forEach(function (d) {
allValues = allValues.concat(d.values);
});
extent = d3.extent(allValues, function (d) { return d.y; });
} else if (fd.horizon_color_scale === 'change') {
payload.data.forEach(function (series) {
var t0y = series.values[0].y; // value at time 0
series.values.forEach(function (d, i) {
d.y = d.y - t0y;
});
});
}
div.selectAll(".horizon")
.data(payload.data)
.enter()
.append('div')
.attr('class', 'horizon')
.each(function (d, i) {
horizonChart()
.height(fd.series_height)
.width(slice.width())
.extent(extent)
.title(d.key)
.call(this, d.values, i);
});
slice.done();
});
}
return {
render: refresh,
resize: refresh
};
}
module.exports = horizonViz;

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@ -162,6 +162,11 @@ class FormFactory(object):
"Color will be rendered based on a ratio "
"of the cell against the sum of across this "
"criteria")),
'horizon_color_scale': SelectField(
'Color Scale', choices=self.choicify([
'series', 'overall', 'change']),
default='series',
description="Defines how the color are attributed."),
'canvas_image_rendering': SelectField(
'Rendering', choices=(
('pixelated', 'pixelated (Sharp)'),
@ -476,6 +481,11 @@ class FormFactory(object):
default='smart_date',
choices=TIMESTAMP_CHOICES,
description="Timestamp Format"),
'series_height': FreeFormSelectField(
'Series Height',
default=25,
choices=self.choicify([10, 25, 40, 50, 75, 100, 150, 200]),
description="Pixel height of each series"),
'x_axis_format': FreeFormSelectField(
'X axis format',
default='smart_date',

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@ -1610,6 +1610,25 @@ class HeatmapViz(BaseViz):
return df.to_dict(orient="records")
class HorizonViz(NVD3TimeSeriesViz):
"""Horizon chart
https://www.npmjs.com/package/d3-horizon-chart
"""
viz_type = "horizon"
verbose_name = "Horizon Charts"
credits = (
'<a href="https://www.npmjs.com/package/d3-horizon-chart">'
'd3-horizon-chart</a>')
fieldsets = [NVD3TimeSeriesViz.fieldsets[0]] + [{
'label': 'Chart Options',
'fields': (
('series_height', 'horizon_color_scale'),
), }]
viz_types_list = [
TableViz,
PivotTableViz,
@ -1635,6 +1654,7 @@ viz_types_list = [
BoxPlotViz,
TreemapViz,
CalHeatmapViz,
HorizonViz,
]
viz_types = OrderedDict([(v.viz_type, v) for v in viz_types_list

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@ -73,3 +73,6 @@ Gallery
.. image:: _static/img/viz_thumbnails/cal_heatmap.png
:scale: 25 %
.. image:: _static/img/viz_thumbnails/horizon.png
:scale: 25 %