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Created June 27, 2014 23:04
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Shared OTUs
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{
"metadata": {
"name": ""
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"worksheets": [
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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* American Gut Project\n",
"* License: BSD\n",
"* Author of this notebook: Daniel McDonald\n",
"\n",
"For this notebook, we're going to explore how the number of shared OTUs differ based on metadata. What these plots will show are the number of OTUs that are shared in an increasing number of samples. For instance, we expect to see a very large number of OTUs shared in at least 1% of the samples, fewer that are shared in at least 10%, even fewer at 50%, and almost none in 100% of the samples. This makes sense as we harbor unique microbial communities."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This Notebook assumes the following dependencies are in your environment:\n",
"\n",
"* [BIOM](http://biom-format.org) >= 2.0.1\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from biom import load_table\n",
"from biom.parse import MetadataMap\n",
"from collections import Counter\n",
"\n",
"!wget https://github.com/biocore/American-Gut/raw/master/data/AG/AG_100nt.txt --no-check-certificate\n",
"!wget https://github.com/biocore/American-Gut/raw/master/data/AG/AG_100nt_even10k.biom.gz --no-check-certificate\n",
"\n",
"metadata = MetadataMap.from_file('AG_100nt.txt')\n",
"table = load_table('AG_100nt_even10k.biom.gz')\n",
"table.add_metadata(metadata)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The first function that we're going to define will compute the percentage of shared OTUs over the samples for a specific metadata category and value."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def compute_shared_otus(table_full, category, values):\n",
" \"\"\"Compute shared OTUs for a given category and values\n",
" \n",
" Parameters\n",
" ----------\n",
" table_full : Table\n",
" A BIOM table. It is assumed that this table has sample metadata associated with it.\n",
" category : str\n",
" The metadata category\n",
" values : list of str\n",
" The values of interest within the category\n",
" \n",
" Returns\n",
" -------\n",
" np.array\n",
" Observed percentages\n",
" np.array\n",
" Observed top OTU IDs\n",
" list\n",
" Observed top taxa\n",
" int\n",
" Number of samples in the filtered table\n",
" \n",
" \"\"\"\n",
" def _get_taxa(t, id_):\n",
" md = t.metadata(id_, axis='observation')\n",
" if md is None:\n",
" taxa = ''\n",
" else:\n",
" taxa = '; '.join(md['taxonomy'])\n",
" return taxa\n",
" \n",
" table = table_full.pa(inplace=False)\n",
" \n",
" # filter to just those samples that meet our metadata category and values\n",
" cat_fn = lambda v, i, md: md[category] in values\n",
" site = table.filter(cat_fn, inplace=False)\n",
"\n",
" # normalize\n",
" norm_fn = lambda v, i, md: v / len(site.sample_ids)\n",
" site.transform(norm_fn)\n",
" \n",
" # compute percents\n",
" obs_full = site.sum('observation')\n",
" obs_percents = array([(obs_full > i).sum() for i in arange(0.0, 1.0, 0.01)], dtype=float)\n",
" \n",
" # determine the taxa that appear to be highly shared\n",
" top_ids = site.observation_ids[argwhere(obs_full > 0.95)].squeeze()\n",
" top_taxa = []\n",
" if len(np.atleast_1d(top_ids)) > 0:\n",
" if not top_ids.shape: # array of scalar value\n",
" top_ids = array(str(top_ids))\n",
" top_taxa.append(_get_taxa(site, str(top_ids)))\n",
" else:\n",
" for id_ in top_ids:\n",
" top_taxa.append(_get_taxa(site, id_))\n",
" \n",
" return obs_percents, top_ids, top_taxa, len(site.sample_ids)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 110
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the next cell, we're going to first define a helper function for filtering to just fecal samples, and then define a more complex method that will allow us to compute shared OTUs over multiple category values within a metadata category. This method will additionally subsample the number of samples being examined to normalize for the number of samples used in the compute within each category value. Since we're subsampling the category values that have a larger number of samples associated, we're going to perform the subsample multiple times and return the mean shared OTUs observed. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fecal_filter = lambda v, i, md: md['BODY_SITE'] == 'UBERON:feces'\n",
"def compute_multiple_values(table_full, category, min_count=None, prefilter=fecal_filter, iterations=10, \n",
" discretize=None):\n",
" \"\"\"Compute shared OTUs over multiple category values\n",
" \n",
" Parameters\n",
" ----------\n",
" table_full : Table\n",
" The full table to operate on.\n",
" category : str\n",
" The metadata category to examine.\n",
" min_count : int, optional\n",
" The minimum number of samples that must be associated with a category value\n",
" outer_filter : func\n",
" Prefilter, e.g., down to just fecal samples\n",
" iterations : int\n",
" Number of rarifactions to perform\n",
" discretize : list of tuple, optional\n",
" Bins to discretize the data. Expected form: [(min, max)]\n",
" \n",
" Returns\n",
" -------\n",
" np.array\n",
" The mean observed percents in row order with observed values\n",
" np.array\n",
" The stderr observed percents in row order with observed values\n",
" list of str\n",
" The observed category values\n",
" int\n",
" Sample depth used\n",
" \n",
" Notes\n",
" -----\n",
" This method will print summary details about the category being examined which can\n",
" be used to inform a good min_count.\n",
" \n",
" This method ignores NA and no_data category values\n",
" \n",
" \"\"\"\n",
" def make_filter_f(md_field, md_val):\n",
" \"\"\"Construct a filter function based on a metadata category and value\n",
" \n",
" If md_val is a tuple, a discretization is attempted.\n",
" \"\"\"\n",
" if isinstance(md_val, tuple):\n",
" min_, max_ = md_val\n",
" def f(v, i, samp_md):\n",
" \"\"\"Return True if the sample is value is min_ <= foo < max_\"\"\"\n",
" try:\n",
" float(samp_md[md_field])\n",
" except ValueError:\n",
" return False\n",
" else:\n",
" return min_ <= float(samp_md[md_field]) < max_\n",
" else:\n",
" def f(v, i, samp_md):\n",
" \"\"\"Return true if the sample is associated with our desired value\"\"\"\n",
" return samp_md[md_field] == md_val\n",
" return f\n",
" \n",
" if min_count is None:\n",
" min_count = 25\n",
" \n",
" pa = table_full.filter(prefilter, inplace=False).pa()\n",
" \n",
" # get the counts within each category value\n",
" metadata_counts = Counter()\n",
" for md in pa.sample_metadata:\n",
" # ignore missing data\n",
" if md[category] in ['NA', 'no_data']:\n",
" continue\n",
" \n",
" if discretize is not None:\n",
" for min_, max_ in discretize:\n",
" if min_ <= float(md[category]) < max_:\n",
" metadata_counts[(min_, max_)] += 1\n",
" else:\n",
" metadata_counts[md[category]] += 1\n",
" \n",
" print \"Category counts for %s:\" % category\n",
" for k, v in sorted(metadata_counts.items(), key=lambda item: item[1], reverse=True):\n",
" print \" %s: %d\" % (k, v)\n",
" \n",
" # determine the minimum sampling depth\n",
" sample_depth = min(filter(lambda v: v > min_count, metadata_counts.values())) \n",
" metadata_values = [k for k, v in metadata_counts.items() if v >= sample_depth]\n",
" \n",
" observed_means = []\n",
" observed_stderrs = []\n",
" observed_values = []\n",
" for obs_v in sorted(metadata_values):\n",
" if discretize is not None:\n",
" observed_values.append(\"%d <= x < %d\" % obs_v)\n",
" else:\n",
" observed_values.append(obs_v)\n",
" \n",
" # filter to the specific category value\n",
" md_specific = pa.filter(make_filter_f(category, obs_v), inplace=False)\n",
" ids = md_specific.sample_ids.copy() \n",
"\n",
" results = zeros((iterations, 100), dtype=float)\n",
" for idx in range(iterations):\n",
" # subsample the table\n",
" shuffle(ids)\n",
" subsampled_ids = set(ids[:sample_depth])\n",
" filter_f = lambda v, i, md: i in subsampled_ids\n",
" ss = md_specific.filter(filter_f, inplace=False)\n",
" ss.filter(lambda v, i, md: sum(v) > 0, axis='observation')\n",
"\n",
" # normalize\n",
" norm_f = lambda v, i, md: v / len(ss.sample_ids)\n",
" ss.transform(norm_f)\n",
" \n",
" # compute percents\n",
" obs_full = ss.sum('observation')\n",
" results[idx] = array([(obs_full > j).sum() for j in arange(0.0, 1.0, 0.01)], dtype=float) \n",
" \n",
" observed_means.append(results.mean(axis=0))\n",
" observed_stderrs.append(results.std(axis=0) / sqrt(iterations))\n",
" \n",
" return np.asarray(observed_means), np.asarray(observed_stderrs), observed_values, sample_depth"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 165
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, we're going to construct a method to plot the results of out shared OTUs functions."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def plot_shared_otus(n_samples, percents, labels, title=None, depth=None, stderrs=None, start=0):\n",
" \"\"\"Plot the shared OTUs\n",
" \n",
" Parameters\n",
" ----------\n",
" n_samples : int\n",
" The number of samples reflected\n",
" percents : np.array\n",
" The percents to plot\n",
" title : str, optional\n",
" Additional title name\n",
" depth : int, optional\n",
" The subsample depth\n",
" \"\"\" \n",
" if len(percents.shape) == 1:\n",
" percents = np.array([percents])\n",
" \n",
" fig = figure()\n",
" ax_count = gca()\n",
" \n",
" title_str = 'Shared OTUs'\n",
" \n",
" if title is not None:\n",
" title_str += ': %s' % title\n",
" if depth is not None:\n",
" title_str += ', n=%d' % depth\n",
" \n",
" ax_count.set_title(title_str)\n",
" ax_count.set_yscale('log')\n",
" ax_count.set_ylabel('Number of OTUs')\n",
" ax_count.set_xlabel('Number of samples')\n",
" \n",
" x_ticks = arange(0.0, 1.0, 0.01) * n_samples\n",
" \n",
" for idx, row in enumerate(percents):\n",
" if stderrs is not None:\n",
" ax_count.errorbar(x_ticks[start:], row[start:], yerr=stderrs[idx][start:], fmt='o', \n",
" markersize=5, markeredgewidth=0.25)\n",
" else:\n",
" ax_count.plot(x_ticks[start:], row[start:])\n",
"\n",
" legend(labels, numpoints=1)\n",
" \n",
" plt.tight_layout()\n",
" ax_count.grid()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 96
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we're going to define a few helper methods just to make the subsequent calls very easy. The compute methods above return other interesting bits of information though which you may like to explore."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def helper_single(category, values, label):\n",
" percents, top_ids, top_taxa, n_samples = compute_shared_otus(table, category, values)\n",
" plot_shared_otus(n_samples, percents, [label])\n",
" print \"Top observed shared taxa:\"\n",
" for t in top_taxa:\n",
" print ' %s' % t\n",
"\n",
"def helper_multiple(category, title, min_count=None, discretize=None):\n",
" means, stderrs, values, depth = compute_multiple_values(table, category, min_count, discretize=discretize)\n",
" plot_shared_otus(depth, means, values, title=title, depth=depth)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 150
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Plots**\n",
"\n",
"Now lets go and make some plots using the functions we just created. The first three plots will be high level, and just of the body sites. What you can see is that there are a lot of shared OTUs between people, but the number that are shared begin to drop off quickly as you increase the number of samples (_note that the y-axis is in a log-scale_). It does appear that a handful of OTUs are shared over all samples within the oral and skin sites but the over all sample size is much lower than the fecal site."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"helper_single('BODY_SITE', ['UBERON:feces'], 'Fecal')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Top observed shared taxa:\n",
" k__Bacteria; p__Bacteroidetes; c__Bacteroidia; o__Bacteroidales; f__Bacteroidaceae; g__Bacteroides; s__ovatus\n",
" k__Bacteria; p__Firmicutes; c__Clostridia; o__Clostridiales; f__Lachnospiraceae; g__Blautia; s__\n",
" k__Bacteria; p__Bacteroidetes; c__Bacteroidia; o__Bacteroidales; f__Bacteroidaceae; g__Bacteroides; s__\n",
" k__Bacteria; p__Bacteroidetes; c__Bacteroidia; o__Bacteroidales; f__Bacteroidaceae; g__Bacteroides; s__uniformis\n",
" k__Bacteria; p__Firmicutes; c__Clostridia; o__Clostridiales; f__Ruminococcaceae; g__; s__\n",
" k__Bacteria; p__Bacteroidetes; c__Bacteroidia; o__Bacteroidales; f__Bacteroidaceae; g__Bacteroides; s__\n",
" k__Bacteria; p__Firmicutes; c__Clostridia; o__Clostridiales; f__Lachnospiraceae; g__; s__\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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5zLUyTKIlpS/u7pwrRURkLkyuJRUWFo5jx4Jx+nSwocMhIqJ/UKvVUKvViIyM1FlLyuSK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\n",
"text": [
"<matplotlib.figure.Figure at 0x10d846510>"
]
}
],
"prompt_number": 138
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"helper_single('BODY_SITE', ['UBERON:skin', 'UBERON:hand'], 'Skin')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Top observed shared taxa:\n",
" k__Bacteria; p__Actinobacteria; c__Actinobacteria; o__Actinomycetales; f__Corynebacteriaceae; g__Corynebacterium; s__\n",
" k__Bacteria; p__Cyanobacteria; c__Chloroplast; o__Streptophyta; f__; g__; s__\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Lactobacillales; f__Streptococcaceae; g__Streptococcus; s__\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Lactobacillales; f__Streptococcaceae; g__Streptococcus; s__\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Bacillales; f__Staphylococcaceae; g__Staphylococcus; s__\n",
" k__Bacteria; p__Actinobacteria; c__Actinobacteria; o__Actinomycetales; f__Propionibacteriaceae; g__Propionibacterium; s__acnes\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Lactobacillales; f__Streptococcaceae; g__Streptococcus; s__\n",
" k__Bacteria; p__Actinobacteria; c__Actinobacteria; o__Actinomycetales; f__Corynebacteriaceae; g__Corynebacterium; s__\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Bacillales; f__Staphylococcaceae; g__Staphylococcus; s__\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Bacillales; f__Planococcaceae; g__; s__\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Bacillales; f__Planococcaceae; g__; s__\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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FC209wi5dtKsuaR4Uwvbs2tzXpEkT9u7dyyOPPMLBgwcBbdFZWWBWGN3Vq5CQ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\nbWHNb7euo/tq1apFcnKyZTs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"text": [
"<matplotlib.figure.Figure at 0x10bc4b290>"
]
}
],
"prompt_number": 142
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"helper_single('BODY_SITE', ['UBERON:tongue'], 'Oral')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Top observed shared taxa:\n",
" k__Bacteria; p__Proteobacteria; c__Gammaproteobacteria; o__Pasteurellales; f__Pasteurellaceae; g__Haemophilus; s__parainfluenzae\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Lactobacillales; f__Streptococcaceae; g__Streptococcus; s__\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Lactobacillales; f__Streptococcaceae; g__Streptococcus; s__\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Lactobacillales; f__Streptococcaceae; g__Streptococcus; s__\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Lactobacillales; f__Carnobacteriaceae; g__Granulicatella; s__\n",
" k__Bacteria; p__Firmicutes; c__Bacilli; o__Lactobacillales; f__Streptococcaceae; g__Streptococcus; s__\n",
" k__Bacteria; p__Actinobacteria; c__Actinobacteria; o__Actinomycetales; f__Actinomycetaceae; g__Actinomyces; s__\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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8Xb4s1ynctg345Re5wG6TJkD79rLbsGdPOZvQEmw1R1WJOTKNKgvMAkBBQQEC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\nB/RCUGu2K+bQAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x10d82e150>"
]
}
],
"prompt_number": 143
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, lets slice and dice the data further. The next set of plots will look just within the fecal samples, and then within a given metadata category. Since we have uneven numbers of samples associated with each category (e.g., the number of people who have taken antibiotics recently is much less than the number of people who have not taken antibiotics in the last year), we're going to randomly select an even number of samples within each group and then compute shared OTUs from there. Since we're randomly subsampling, we're going to do this procedure 10 times and plot the mean number of shared OTUs.\n",
"\n",
"In the first plot, we're taking a look at the number of shared OTUs stratified by how recently antibiotics were used. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"helper_multiple('ANTIBIOTIC_SELECT', 'Antibiotic use')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Category counts for ANTIBIOTIC_SELECT:\n",
" Not in the last year: 1367\n",
" In the past year: 252\n",
" In the past 6 months: 224\n",
" In the past month: 59\n",
" In the past week: 41\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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4yE9rWDfzijBOwTTWD4qgkVER5j5e8XjvpqBXxaC+Drh4RoLiNtegbKxZKZyn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\ng8Fg8BY2SDEYDAaDt/w/P6y3g93WZkcAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x112484e90>"
]
}
],
"prompt_number": 166
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the next plot, we're looking at whether seasonal allergies appear to impact the number of shared OTUs. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"helper_multiple('SEASONAL_ALLERGIES', 'Seasonal allergies')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Category counts for SEASONAL_ALLERGIES:\n",
" no: 1104\n",
" yes: 788\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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tMDU1bdIOZUUgEGBhv7lwau+I0crj0XXxcPzQfzVmz2hNzX+EECKn3nme1IED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\nAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x10ac500d0>"
]
}
],
"prompt_number": 134
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Diet interestingly appears to show a difference, with vegans having the most shared OTUs. This could potentially be explained by the number of plants consumed (see below), which appear to be associated with the number of shared OTUs."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"helper_multiple('DIET_TYPE', 'Diet type')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Category counts for DIET_TYPE:\n",
" Omnivore: 1604\n",
" Omnivore but no red meat: 120\n",
" Vegetarian but eat seafood: 106\n",
" Vegetarian: 76\n",
" Vegan: 43\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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ZI7feD+su75i+ffti5syZGDJkCIyNjdG8eXOcOnUKAODj4wMfHx80atQIjo6O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\n",
"text": [
"<matplotlib.figure.Figure at 0x1136d36d0>"
]
}
],
"prompt_number": 167
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The number of plants consumed in a given week looks like it may have an affect as well, where if you consume less than 5 different types of plants per week, you appear to have fewer shared OTUs with the rest of the population."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"helper_multiple('TYPES_OF_PLANTS', 'Number of different plants')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Category counts for TYPES_OF_PLANTS:\n",
" 11 to 20: 593\n",
" 6 to 10: 445\n",
" 21 to 30: 386\n",
" More than 30: 307\n",
" Less than 5: 147\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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0UTPorm4J3eG1MFIAY1xcULu48O26RYzR/x0n1594EH6Lpe/8IX3lSUhISFRT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\nSUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x10c0b0f10>"
]
}
],
"prompt_number": 137
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now lets take a look at BMI. Interestingly, both the severely underweight and severely obese groups show a reduced number of shared OTUs."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"BMI_ranges = [(0, 18),\n",
" (18, 25),\n",
" (25, 30),\n",
" (30, 35),\n",
" (35, 40)]\n",
"helper_multiple('BMI', 'BMI', discretize=BMI_ranges)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Category counts for BMI:\n",
" (18, 25): 1103\n",
" (25, 30): 398\n",
" (30, 35): 115\n",
" (0, 18): 107\n",
" (35, 40): 32\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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gs9nQ19fH7t27cfXqVRQWFjLm83n7eAcHB4luH//48WMsXLhQqO3jP8ciyvbx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\n1KH5lOb2Dukv6X4/KSGEECVK70uFB7uTOi2V31b9ZrVcy3+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"text": [
"<matplotlib.figure.Figure at 0x1136d36d0>"
]
}
],
"prompt_number": 163
}
],
"metadata": {}
}
]
}
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