Part of a series of examples. See:
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"""starting point for IPython Notebook to Restructured Text | |
using pandoc in various places | |
""" | |
import os,sys,shutil | |
import glob | |
import tempfile | |
import base64 |
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Name: logstash | |
Version: 1.1.0 | |
Release: 1%{?dist} | |
Summary: logstash is a tool for managing events and logs | |
Group: System/Logging | |
License: ASL 2.0 | |
URL: http://logstash.net/ | |
Source0: http://semicomplete.com/files/logstash/logstash-%{version}-monolithic.jar | |
Source1: logstash |
D3’s default path interpolation is the same as its string interpolation: it finds numbers embedded in strings, and interpolates those numbers. So, the default behavior when interpolating two paths is like this:
M x0, y0 L x1, y1 L x2, y2 L x3, y3
↓ ↓ ↓ ↓ ↓ ↓ ↓ ↓
M x0, y1 L x1, y2 L x2, y3 L x3, y4
For example, the first point ⟨x0,y0⟩ is interpolated to ⟨x0,y1⟩. Since x0 is the same, all you see are the y-values changing (see example)—you don't see the path slide to the left as intended.
What you want to happen here is something like this:
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta http-equiv="Content-Type" content="text/html;charset=utf-8"> | |
<title>Chronological Diagram of Asia</title> | |
<script type="text/javascript" src="http://mbostock.github.com/d3/d3.v2.js"></script> | |
<style type="text/css"> | |
.chart { | |
shape-rendering: crispEdges; | |
} |
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<html> | |
<head> | |
<title>Swimlane using d3.js</title> | |
<script type="text/javascript" src="http://mbostock.github.com/d3/d3.v2.js"></script> | |
<script type="text/javascript" src="randomData.js"></script> | |
<style> | |
.chart { | |
shape-rendering: crispEdges; | |
} |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta http-equiv="Content-Type" content="text/html;charset=utf-8"> | |
<title>One Graph</title> | |
<script type="text/javascript" src="http://mbostock.github.com/d3/d3.v2.js"></script> | |
<script type="text/javascript" src="simple-graph.js"></script> | |
<style type="text/css"> | |
body { font: 13px sans-serif; } | |
rect { fill: #fff; } |
An example of an SVG interaction layer over a canvas rendering layer. Data from the USDA Nutrition Database.
This example has a few design differences from most parallel coordinates:
- requestAnimationFrame for gradual rendering
- shuffled rendering order (Fisher-Yates)
- bezier curves with canvas
- autoscaling opacity
- tick toggles
- dark/light themes
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<!DOCTYPE html> | |
<html> | |
<head> | |
<title>Projection Demo</title> | |
<script type='text/javascript' src='http://mbostock.github.com/d3/d3.js'></script> | |
<script type='text/javascript' src='http://mbostock.github.com/d3/d3.geo.js'></script> | |
<style type='text/css'> | |
body { | |
margin:5px auto; | |
} |
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import numpy as np | |
import matplotlib.pyplot as plt | |
from sklearn.datasets import fetch_mldata | |
from sklearn.decomposition import FastICA, PCA | |
from sklearn.cluster import KMeans | |
# fetch natural image patches | |
image_patches = fetch_mldata("natural scenes data") | |
X = image_patches.data |
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