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{ | |
"metadata": { | |
"name": "" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# using the formatters in Emperor\n", | |
"from emperor.format import (format_mapping_file_to_js, format_pcoa_to_js,\n", | |
" format_taxa_to_js, format_vectors_to_js,\n", | |
" format_comparison_bars_to_js, EMPEROR_HEADER_HTML_STRING,\n", | |
" format_emperor_html_footer_string)\n", | |
"\n", | |
"# we are going to use this remote location to load resources\n", | |
"resources_url = 'http://emperor.colorado.edu/master/make_emperor/emperor_output/emperor_required_resources'" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"from skbio.maths.stats.ordination import PCoA\n", | |
"from skbio.core.distance import SymmetricDistanceMatrix, DistanceMatrix\n", | |
"import numpy as np" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"from qiime.parse import parse_mapping_file\n", | |
"data, headers, _ = parse_mapping_file(open('Fasting_Map.txt', 'U'))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"dm = SymmetricDistanceMatrix.from_file(open('unweighted_unifrac_dm.txt', 'U'))\n", | |
"pcoa = PCoA(dm)\n", | |
"\n", | |
"# grab the things we need for the plot\n", | |
"coords = pcoa.scores().species\n", | |
"eigvals = pcoa.scores().eigvals\n", | |
"pcts = np.ones(len(eigvals))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 4 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# i am assuming the order from the dm to the PCoA object is preserved\n", | |
"pcoa_string = format_pcoa_to_js(dm.ids, coords, eigvals, pcts)\n", | |
"mf_string = format_mapping_file_to_js(data, headers, headers)\n", | |
"\n", | |
"# A lot of this is going to be empty because we don't really need any of it\n", | |
"footer = format_emperor_html_footer_string(False, False, False, False)\n", | |
"taxa = format_taxa_to_js([], [], [])\n", | |
"bars = format_comparison_bars_to_js([], [], 0)\n", | |
"vectors = format_vectors_to_js([], [], [], [], None)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 5 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"from IPython.display import HTML, IFrame" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 6 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# build the HTML string\n", | |
"output = [EMPEROR_HEADER_HTML_STRING,\n", | |
" mf_string,\n", | |
" pcoa_string,\n", | |
" taxa,\n", | |
" bars,\n", | |
" vectors,\n", | |
" footer]\n", | |
"# add the remote resources\n", | |
"output = '\\n'.join(output).replace('emperor_required_resources', resources_url)\n", | |
"\n", | |
"fd = open('d.html', 'w')\n", | |
"fd.write(output)\n", | |
"fd.close()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 7 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"IFrame('files/d.html', 800, 400)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"html": [ | |
"\n", | |
" <iframe\n", | |
" width=\"800\"\n", | |
" height=400\"\n", | |
" src=\"files/d.html\"\n", | |
" frameborder=\"0\"\n", | |
" allowfullscreen\n", | |
" ></iframe>\n", | |
" " | |
], | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 9, | |
"text": [ | |
"<IPython.lib.display.IFrame at 0x10820bb90>" | |
] | |
} | |
], | |
"prompt_number": 9 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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