Chris Lovell christopherlovell

To use this stylesheet, you need to put it inside your mplconfig_dir. By default, mpl_configdir should be ~/.config/matplotlib, but you can check where yours is with matplotlib.get_configdir(). You can then import it with styleuse('sm').

Based on work by Monica L. Turner, http://space.mit.edu/~turnerm/python.html (accessed 5/7/2016)

t-SNE spectra example

Apply t-SNE to galaxy spectra from two different simulations.

First import some modules

import numpy as np

%matplotlib inline

	library(rjson)

	trim <- function (x) gsub("^\\s+\|\\s+$", "", x)

	data_dir = 'Documents/playlists/'
	play_list = list()

	for(i in list.files(data_dir,"^.*\\.(m3u)$")){
	year = substr(i,1,4) # record file specific information, in this case year from playlist group


	library(FITSio)
	library(sphereplot)
	library(cosmoFns)
	library(devtools)

	## Data
	data <- FITSio::readFITS("WP8_photoz_XMM_LSS.fits", hdu = 2)

	dt <- data.frame(data$col)

	from IPython.display import HTML

	# Youtube
	HTML('<iframe width="560" height="315" src="https://www.youtube.com/embed/S_f2qV2_U00?rel=0&controls=0&showinfo=0" frameborder="0" allowfullscreen></iframe>')

	# Vimeo
	HTML('<iframe src="https://player.vimeo.com/video/26763844?title=0&byline=0&portrait=0" width="700" height="394" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe><p><a href="https://vimeo.com/26763844">BAXTER DURY - CLAIRE (Dir Cut)</a> from <a href="https://vimeo.com/dannysangra">Danny Sangra</a> on <a href="https://vimeo.com">Vimeo</a>.</p>')

	library(MASS)

	# generate a million lognormal samples
	n <- 1000000
	dat <- rlnorm(n, meanlog = 0, sdlog = 1)

	# add some noise (optional)
	dat <- dat + runif(n, 0, 1)

	# create a vector of histogram breaks

	$ git filter-branch --tag-name-filter cat --index-filter 'git rm -r --cached --ignore-unmatch filename' --prune-empty -f -- --all
	$ rm -rf .git/refs/original/
	$ git reflog expire --expire=now --all
	$ git gc --prune=now
	$ git gc --aggressive --prune=now
	$ git push origin --force --all
	$ git push origin --force --tags

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<title>Mondrian Generator</title>
	<script src="https://d3js.org/d3.v4.js" charset="utf-8"></script>
	<style>
	</style>
	</head>
	<body>

	from scipy.stats import binned_statistic
	import random

	def resample_distribution(x, y, k=300, bin_limits=None):
	"""
	Resample y to fit distribution of x

	Args:
	x, y (array) distributions
	k (int) number of samples

	#!/bin/bash

	# Clear output file
	> out.csv

	while read f; do

	# read in line to array, comma delimited
	arrIn=(${f//,/ })