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ContextLab · Jun 14, 2017 · 182d56a · 182d56a
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diff --git a/docs/_build/doctrees/api.doctree b/docs/_build/doctrees/api.doctree
diff --git a/docs/_build/doctrees/auto_examples/animate.doctree b/docs/_build/doctrees/auto_examples/animate.doctree
diff --git a/docs/_build/doctrees/auto_examples/animate_MDS.doctree b/docs/_build/doctrees/auto_examples/animate_MDS.doctree
diff --git a/docs/_build/doctrees/auto_examples/animate_spin.doctree b/docs/_build/doctrees/auto_examples/animate_spin.doctree
diff --git a/docs/_build/doctrees/auto_examples/explore.doctree b/docs/_build/doctrees/auto_examples/explore.doctree
diff --git a/docs/_build/doctrees/auto_examples/index.doctree b/docs/_build/doctrees/auto_examples/index.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_2D.doctree b/docs/_build/doctrees/auto_examples/plot_2D.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_PPCA.doctree b/docs/_build/doctrees/auto_examples/plot_PPCA.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_TSNE.doctree b/docs/_build/doctrees/auto_examples/plot_TSNE.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_align.doctree b/docs/_build/doctrees/auto_examples/plot_align.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_basic.doctree b/docs/_build/doctrees/auto_examples/plot_basic.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_clusters.doctree b/docs/_build/doctrees/auto_examples/plot_clusters.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_clusters2.doctree b/docs/_build/doctrees/auto_examples/plot_clusters2.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_dataframe.doctree b/docs/_build/doctrees/auto_examples/plot_dataframe.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_describe.doctree b/docs/_build/doctrees/auto_examples/plot_describe.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_digits.doctree b/docs/_build/doctrees/auto_examples/plot_digits.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_group.doctree b/docs/_build/doctrees/auto_examples/plot_group.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_labels.doctree b/docs/_build/doctrees/auto_examples/plot_labels.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_legend.doctree b/docs/_build/doctrees/auto_examples/plot_legend.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_missing_data.doctree b/docs/_build/doctrees/auto_examples/plot_missing_data.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_normalize.doctree b/docs/_build/doctrees/auto_examples/plot_normalize.doctree
diff --git a/docs/_build/doctrees/auto_examples/plot_procrustes.doctree b/docs/_build/doctrees/auto_examples/plot_procrustes.doctree
diff --git a/docs/_build/doctrees/auto_examples/precog.doctree b/docs/_build/doctrees/auto_examples/precog.doctree
diff --git a/docs/_build/doctrees/auto_examples/save_image.doctree b/docs/_build/doctrees/auto_examples/save_image.doctree
diff --git a/docs/_build/doctrees/auto_examples/save_movie.doctree b/docs/_build/doctrees/auto_examples/save_movie.doctree
diff --git a/docs/_build/doctrees/environment.pickle b/docs/_build/doctrees/environment.pickle
diff --git a/docs/_build/doctrees/hypertools.plot.doctree b/docs/_build/doctrees/hypertools.plot.doctree
diff --git a/docs/_build/doctrees/hypertools.tools.align.doctree b/docs/_build/doctrees/hypertools.tools.align.doctree
diff --git a/docs/_build/doctrees/hypertools.tools.load.doctree b/docs/_build/doctrees/hypertools.tools.load.doctree
diff --git a/docs/_build/doctrees/hypertools.tools.missing_inds.doctree b/docs/_build/doctrees/hypertools.tools.missing_inds.doctree
diff --git a/docs/_build/doctrees/hypertools.tools.normalize.doctree b/docs/_build/doctrees/hypertools.tools.normalize.doctree
diff --git a/docs/_build/doctrees/hypertools.tools.procrustes.doctree b/docs/_build/doctrees/hypertools.tools.procrustes.doctree
diff --git a/docs/_build/doctrees/hypertools.tools.reduce.doctree b/docs/_build/doctrees/hypertools.tools.reduce.doctree
diff --git a/docs/_build/doctrees/index.doctree b/docs/_build/doctrees/index.doctree
diff --git a/docs/_build/html/.buildinfo b/docs/_build/html/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 27f69a987af6cebd72c9ce04198515dc
+config: 91bba5725d2ee2f6e7e8d9d4495368c7
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/docs/_build/html/_downloads/animate.ipynb b/docs/_build/html/_downloads/animate.ipynb
@@ -24,7 +24,7 @@
       "execution_count": null, 
       "cell_type": "code", 
       "source": [
-        "# Code source: Andrew Heusser\n# License: MIT\n\nimport hypertools as hyp\nimport scipy.io as sio\nimport numpy as np\n\ndata = hyp.tools.load('weights')\naligned_w = hyp.tools.align(data)\n\nw1 = np.mean(aligned_w[:17],0)\nw2 = np.mean(aligned_w[18:],0)\n\nhyp.plot([w1, w2], animate=True)"
+        "# Code source: Andrew Heusser\n# License: MIT\n\n# import\nimport hypertools as hyp\nimport numpy as np\n\n# load example data\ndata = hyp.tools.load('weights', align=True)\n\n# average into two groups\nw1 = np.mean(data[:17],0)\nw2 = np.mean(data[18:],0)\n\n# plot\nhyp.plot([w1, w2], animate=True)"
       ], 
       "outputs": [], 
       "metadata": {

diff --git a/docs/_build/html/_downloads/animate.py b/docs/_build/html/_downloads/animate.py
@@ -12,14 +12,16 @@
 # Code source: Andrew Heusser
 # License: MIT
 
+# import
 import hypertools as hyp
-import scipy.io as sio
 import numpy as np
 
-data = hyp.tools.load('weights')
-aligned_w = hyp.tools.align(data)
+# load example data
+data = hyp.tools.load('weights', align=True)
 
-w1 = np.mean(aligned_w[:17],0)
-w2 = np.mean(aligned_w[18:],0)
+# average into two groups
+w1 = np.mean(data[:17],0)
+w2 = np.mean(data[18:],0)
 
+# plot
 hyp.plot([w1, w2], animate=True)
diff --git a/docs/_build/html/_downloads/animate_MDS.ipynb b/docs/_build/html/_downloads/animate_MDS.ipynb
@@ -0,0 +1,54 @@
+{
+  "nbformat_minor": 0, 
+  "nbformat": 4, 
+  "cells": [
+    {
+      "execution_count": null, 
+      "cell_type": "code", 
+      "source": [
+        "%matplotlib inline"
+      ], 
+      "outputs": [], 
+      "metadata": {
+        "collapsed": false
+      }
+    }, 
+    {
+      "source": [
+        "\n# Animated trajectory plotted with multidimensional scaling\n\n\nThis is a trajectory of brain data, hyperaligned and then plotted in 3D\nwith multidimensional scaling.\n\n"
+      ], 
+      "cell_type": "markdown", 
+      "metadata": {}
+    }, 
+    {
+      "execution_count": null, 
+      "cell_type": "code", 
+      "source": [
+        "# Code source: Andrew Heusser\n# License: MIT\n\nimport hypertools as hyp\nimport scipy.io as sio\nimport numpy as np\n\ndata = hyp.tools.load('weights')\naligned_w = hyp.tools.align(data)\n\nw1 = np.mean(aligned_w[:17],0)\nw2 = np.mean(aligned_w[18:],0)\n\nhyp.plot([w1, w2], animate=True, model='MDS')"
+      ], 
+      "outputs": [], 
+      "metadata": {
+        "collapsed": false
+      }
+    }
+  ], 
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 2", 
+      "name": "python2", 
+      "language": "python"
+    }, 
+    "language_info": {
+      "mimetype": "text/x-python", 
+      "nbconvert_exporter": "python", 
+      "name": "python", 
+      "file_extension": ".py", 
+      "version": "2.7.11", 
+      "pygments_lexer": "ipython2", 
+      "codemirror_mode": {
+        "version": 2, 
+        "name": "ipython"
+      }
+    }
+  }
+}
diff --git a/docs/_build/html/_downloads/animate_MDS.py b/docs/_build/html/_downloads/animate_MDS.py
@@ -0,0 +1,24 @@
+# -*- coding: utf-8 -*-
+"""
+=============================
+Animated trajectory plotted with multidimensional scaling
+=============================
+
+This is a trajectory of brain data, hyperaligned and then plotted in 3D
+with multidimensional scaling.
+"""
+
+# Code source: Andrew Heusser
+# License: MIT
+
+import hypertools as hyp
+import scipy.io as sio
+import numpy as np
+
+data = hyp.tools.load('weights')
+aligned_w = hyp.tools.align(data)
+
+w1 = np.mean(aligned_w[:17],0)
+w2 = np.mean(aligned_w[18:],0)
+
+hyp.plot([w1, w2], animate=True, model='MDS')
diff --git a/docs/_build/html/_downloads/animate_spin.ipynb b/docs/_build/html/_downloads/animate_spin.ipynb
@@ -24,7 +24,7 @@
       "execution_count": null, 
       "cell_type": "code", 
       "source": [
-        "# Code source: Andrew Heusser\n# License: MIT\n\n# load\nimport hypertools as hyp\n\n# load data\ndata = hyp.tools.load('weights_sample')\n\n# plot\nhyp.plot(data, '.', animate='spin')"
+        "# Code source: Andrew Heusser\n# License: MIT\n\n# import\nimport hypertools as hyp\n\n# load example data\ndata = hyp.tools.load('weights_sample')\n\n# plot\nhyp.plot(data, '.', animate='spin')"
       ], 
       "outputs": [], 
       "metadata": {

diff --git a/docs/_build/html/_downloads/animate_spin.py b/docs/_build/html/_downloads/animate_spin.py
@@ -11,10 +11,10 @@
 # Code source: Andrew Heusser
 # License: MIT
 
-# load
+# import
 import hypertools as hyp
 
-# load data
+# load example data
 data = hyp.tools.load('weights_sample')
 
 # plot

diff --git a/docs/_build/html/_downloads/auto_examples_jupyter.zip b/docs/_build/html/_downloads/auto_examples_jupyter.zip
diff --git a/docs/_build/html/_downloads/auto_examples_python.zip b/docs/_build/html/_downloads/auto_examples_python.zip
diff --git a/docs/_build/html/_downloads/explore.ipynb b/docs/_build/html/_downloads/explore.ipynb
@@ -24,7 +24,7 @@
       "execution_count": null, 
       "cell_type": "code", 
       "source": [
-        "# Code source: Andrew Heusser\n# License: MIT\n\nimport hypertools as hyp\nimport scipy.io as sio\nimport numpy as np\n\ndata = hyp.tools.load('weights_sample')\n\nhyp.plot(data, '.', explore=True)"
+        "# Code source: Andrew Heusser\n# License: MIT\n\n# import\nimport hypertools as hyp\n\n# load example data\ndata = hyp.tools.load('weights_sample')\n\n# plot\nhyp.plot(data, '.', explore=True)"
       ], 
       "outputs": [], 
       "metadata": {

diff --git a/docs/_build/html/_downloads/explore.py b/docs/_build/html/_downloads/explore.py
@@ -15,10 +15,11 @@
 # Code source: Andrew Heusser
 # License: MIT
 
+# import
 import hypertools as hyp
-import scipy.io as sio
-import numpy as np
 
+# load example data
 data = hyp.tools.load('weights_sample')
 
+# plot
 hyp.plot(data, '.', explore=True)
diff --git a/docs/_build/html/_downloads/plot_PPCA.ipynb b/docs/_build/html/_downloads/plot_PPCA.ipynb
@@ -24,7 +24,7 @@
       "execution_count": null, 
       "cell_type": "code", 
       "source": [
-        "# Code source: Andrew Heusser\n# License: MIT\n\nfrom scipy.linalg import toeplitz\nimport numpy as np\nfrom copy import copy\nimport hypertools as hyp\n\nK = 10 - toeplitz(np.arange(10))\n\ndata1 = np.cumsum(np.random.multivariate_normal(np.zeros(10), K, 250), axis=0)\ndata2 = copy(data1)\n\nmissing = .1\ninds = [(i,j) for i in range(data2.shape[0]) for j in range(data2.shape[1])]\nmissing_data = [inds[i] for i in np.random.choice(int(len(inds)), int(len(inds)*missing))]\nfor i,j in missing_data:\n    data2[i,j]=np.nan\n\nhyp.plot([data1, data2], linestyle=['-',':'], legend=['Original', 'PPCA'])"
+        "# Code source: Andrew Heusser\n# License: MIT\n\n# import\nfrom scipy.linalg import toeplitz\nimport numpy as np\nfrom copy import copy\nimport hypertools as hyp\n\n# simulate data\nK = 10 - toeplitz(np.arange(10))\ndata1 = np.cumsum(np.random.multivariate_normal(np.zeros(10), K, 250), axis=0)\ndata2 = copy(data1)\n\n# simulate missing data\nmissing = .1\ninds = [(i,j) for i in range(data2.shape[0]) for j in range(data2.shape[1])]\nmissing_data = [inds[i] for i in np.random.choice(int(len(inds)), int(len(inds)*missing))]\nfor i,j in missing_data:\n    data2[i,j]=np.nan\n\n# plot\nhyp.plot([data1, data2], linestyle=['-',':'], legend=['Original', 'PPCA'])"
       ], 
       "outputs": [], 
       "metadata": {

diff --git a/docs/_build/html/_downloads/plot_PPCA.py b/docs/_build/html/_downloads/plot_PPCA.py
@@ -14,20 +14,23 @@
 # Code source: Andrew Heusser
 # License: MIT
 
+# import
 from scipy.linalg import toeplitz
 import numpy as np
 from copy import copy
 import hypertools as hyp
 
+# simulate data
 K = 10 - toeplitz(np.arange(10))
-
 data1 = np.cumsum(np.random.multivariate_normal(np.zeros(10), K, 250), axis=0)
 data2 = copy(data1)
 
+# simulate missing data
 missing = .1
 inds = [(i,j) for i in range(data2.shape[0]) for j in range(data2.shape[1])]
 missing_data = [inds[i] for i in np.random.choice(int(len(inds)), int(len(inds)*missing))]
 for i,j in missing_data:
     data2[i,j]=np.nan
 
+# plot
 hyp.plot([data1, data2], linestyle=['-',':'], legend=['Original', 'PPCA'])
diff --git a/docs/_build/html/_downloads/plot_TSNE.ipynb b/docs/_build/html/_downloads/plot_TSNE.ipynb
@@ -0,0 +1,54 @@
+{
+  "nbformat_minor": 0, 
+  "nbformat": 4, 
+  "cells": [
+    {
+      "execution_count": null, 
+      "cell_type": "code", 
+      "source": [
+        "%matplotlib inline"
+      ], 
+      "outputs": [], 
+      "metadata": {
+        "collapsed": false
+      }
+    }, 
+    {
+      "source": [
+        "\n# Visualizing the digits dataset using t-SNE\n\n\nThis example loads in some data from the scikit-learn digits dataset and plots\nit using t-SNE.\n\n"
+      ], 
+      "cell_type": "markdown", 
+      "metadata": {}
+    }, 
+    {
+      "execution_count": null, 
+      "cell_type": "code", 
+      "source": [
+        "# Code source: Andrew Heusser\n# License: MIT\n\nfrom sklearn import datasets\nimport hypertools as hyp\n\ndigits = datasets.load_digits(n_class=6)\ndata = digits.data\ngroup = digits.target.astype('str')\n\nhyp.plot(data, '.', model='TSNE', group=group, ndims=2)"
+      ], 
+      "outputs": [], 
+      "metadata": {
+        "collapsed": false
+      }
+    }
+  ], 
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 2", 
+      "name": "python2", 
+      "language": "python"
+    }, 
+    "language_info": {
+      "mimetype": "text/x-python", 
+      "nbconvert_exporter": "python", 
+      "name": "python", 
+      "file_extension": ".py", 
+      "version": "2.7.11", 
+      "pygments_lexer": "ipython2", 
+      "codemirror_mode": {
+        "version": 2, 
+        "name": "ipython"
+      }
+    }
+  }
+}
diff --git a/docs/_build/html/_downloads/plot_TSNE.py b/docs/_build/html/_downloads/plot_TSNE.py
@@ -0,0 +1,21 @@
+# -*- coding: utf-8 -*-
+"""
+=============================
+Visualizing the digits dataset using t-SNE
+=============================
+
+This example loads in some data from the scikit-learn digits dataset and plots
+it using t-SNE.
+"""
+
+# Code source: Andrew Heusser
+# License: MIT
+
+from sklearn import datasets
+import hypertools as hyp
+
+digits = datasets.load_digits(n_class=6)
+data = digits.data
+group = digits.target.astype('str')
+
+hyp.plot(data, '.', model='TSNE', group=group, ndims=2)
diff --git a/docs/_build/html/_downloads/plot_align.ipynb b/docs/_build/html/_downloads/plot_align.ipynb
@@ -24,7 +24,7 @@
       "execution_count": null, 
       "cell_type": "code", 
       "source": [
-        "# Code source: Andrew Heusser\n# License: MIT\n\nimport hypertools as hyp\nimport scipy.io as sio\nimport numpy as np\n\ndata = hyp.tools.load('weights')\naligned_data = hyp.tools.align(data)\n\ngroup1 = np.mean(aligned_data[:17],0)\ngroup2 = np.mean(aligned_data[18:],0)\n\nhyp.plot([group1[:100,:],group2[:100,:]])"
+        "# Code source: Andrew Heusser\n# License: MIT\n\n# import\nimport hypertools as hyp\nimport numpy as np\n\n# load example data\ndata = hyp.tools.load('weights', align=True)\n\n# average into two groups\ngroup1 = np.mean(data[:17], 0)\ngroup2 = np.mean(data[18:], 0)\n\n# plot\nhyp.plot([group1[:100, :], group2[:100, :]])"
       ], 
       "outputs": [], 
       "metadata": {

diff --git a/docs/_build/html/_downloads/plot_align.py b/docs/_build/html/_downloads/plot_align.py
@@ -13,14 +13,16 @@
 # Code source: Andrew Heusser
 # License: MIT
 
+# import
 import hypertools as hyp
-import scipy.io as sio
 import numpy as np
 
-data = hyp.tools.load('weights')
-aligned_data = hyp.tools.align(data)
+# load example data
+data = hyp.tools.load('weights', align=True)
 
-group1 = np.mean(aligned_data[:17],0)
-group2 = np.mean(aligned_data[18:],0)
+# average into two groups
+group1 = np.mean(data[:17], 0)
+group2 = np.mean(data[18:], 0)
 
-hyp.plot([group1[:100,:],group2[:100,:]])
+# plot
+hyp.plot([group1[:100, :], group2[:100, :]])
diff --git a/docs/_build/html/_downloads/plot_basic.ipynb b/docs/_build/html/_downloads/plot_basic.ipynb
@@ -24,7 +24,7 @@
       "execution_count": null, 
       "cell_type": "code", 
       "source": [
-        "# Code source: Andrew Heusser\n# License: MIT\n\nimport hypertools as hyp\n\ndata = hyp.tools.load('weights_sample')\n\nhyp.plot(data, '.')"
+        "# Code source: Andrew Heusser\n# License: MIT\n\n# import\nimport hypertools as hyp\n\n# load example data\ndata = hyp.tools.load('weights_sample')\n\n# plot\nhyp.plot(data, '.')"
       ], 
       "outputs": [], 
       "metadata": {

diff --git a/docs/_build/html/_downloads/plot_basic.py b/docs/_build/html/_downloads/plot_basic.py
@@ -12,8 +12,11 @@
 # Code source: Andrew Heusser
 # License: MIT
 
+# import
 import hypertools as hyp
 
+# load example data
 data = hyp.tools.load('weights_sample')
 
+# plot
 hyp.plot(data, '.')
diff --git a/docs/_build/html/_downloads/plot_clusters.ipynb b/docs/_build/html/_downloads/plot_clusters.ipynb
@@ -24,7 +24,7 @@
       "execution_count": null, 
       "cell_type": "code", 
       "source": [
-        "# Code source: Andrew Heusser\n# License: MIT\n\nimport hypertools as hyp\nimport pandas as pd\n\ndata = hyp.tools.load('mushrooms')\n\nhyp.plot(data, '.', n_clusters=10)"
+        "# Code source: Andrew Heusser\n# License: MIT\n\n# import\nimport hypertools as hyp\nimport pandas as pd\n\n# load example data\ndata = hyp.tools.load('mushrooms')\n\n# plot\nhyp.plot(data, '.', n_clusters=10)"
       ], 
       "outputs": [], 
       "metadata": {

diff --git a/docs/_build/html/_downloads/plot_clusters.py b/docs/_build/html/_downloads/plot_clusters.py
@@ -13,9 +13,12 @@
 # Code source: Andrew Heusser
 # License: MIT
 
+# import
 import hypertools as hyp
 import pandas as pd
 
+# load example data
 data = hyp.tools.load('mushrooms')
 
+# plot
 hyp.plot(data, '.', n_clusters=10)
diff --git a/docs/_build/html/_downloads/plot_clusters2.ipynb b/docs/_build/html/_downloads/plot_clusters2.ipynb
@@ -24,7 +24,7 @@
       "execution_count": null, 
       "cell_type": "code", 
       "source": [
-        "# Code source: Andrew Heusser\n# License: MIT\n\nimport hypertools as hyp\nimport numpy as np\nfrom scipy.stats import multivariate_normal\n\ncluster1 = np.random.multivariate_normal(np.zeros(3), np.eye(3), size=100)\ncluster2 = np.random.multivariate_normal(np.zeros(3)+3, np.eye(3), size=100)\ndata = np.vstack([cluster1,cluster2])\n\ncluster_labels = hyp.tools.cluster(data, n_clusters=2)\nhyp.plot(data, '.', group=cluster_labels)"
+        "# Code source: Andrew Heusser\n# License: MIT\n\n# import\nimport hypertools as hyp\nimport numpy as np\nfrom scipy.stats import multivariate_normal\n\n# simulate clusters\ncluster1 = np.random.multivariate_normal(np.zeros(3), np.eye(3), size=100)\ncluster2 = np.random.multivariate_normal(np.zeros(3)+3, np.eye(3), size=100)\ndata = np.vstack([cluster1, cluster2])\n\n# get cluster labels\ncluster_labels = hyp.tools.cluster(data, n_clusters=2)\n\n# plot\nhyp.plot(data, '.', group=cluster_labels)"
       ], 
       "outputs": [], 
       "metadata": {

diff --git a/docs/_build/html/_downloads/plot_clusters2.py b/docs/_build/html/_downloads/plot_clusters2.py
@@ -12,13 +12,18 @@
 # Code source: Andrew Heusser
 # License: MIT
 
+# import
 import hypertools as hyp
 import numpy as np
 from scipy.stats import multivariate_normal
 
+# simulate clusters
 cluster1 = np.random.multivariate_normal(np.zeros(3), np.eye(3), size=100)
 cluster2 = np.random.multivariate_normal(np.zeros(3)+3, np.eye(3), size=100)
-data = np.vstack([cluster1,cluster2])
+data = np.vstack([cluster1, cluster2])
 
+# get cluster labels
 cluster_labels = hyp.tools.cluster(data, n_clusters=2)
+
+# plot
 hyp.plot(data, '.', group=cluster_labels)
diff --git a/docs/_build/html/_downloads/plot_dataframe.ipynb b/docs/_build/html/_downloads/plot_dataframe.ipynb
@@ -24,7 +24,7 @@
       "execution_count": null, 
       "cell_type": "code", 
       "source": [
-        "# Code source: Andrew Heusser\n# License: MIT\n\nimport hypertools as hyp\nimport pandas as pd\n\ndata = hyp.tools.load('mushrooms')\n\ngroup = data.pop('class')\n\nhyp.plot(data, '.', group=group)"
+        "# Code source: Andrew Heusser\n# License: MIT\n\n# import\nimport hypertools as hyp\n\n# load example data\ndata = hyp.tools.load('mushrooms')\n\n# pop off the class (poisonousness)\ngroup = data.pop('class')\n\n# plot\nhyp.plot(data, '.', group=group)"
       ], 
       "outputs": [], 
       "metadata": {