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@syoh
Created April 27, 2015 05:59
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{
"worksheets": [
{
"cells": [
{
"metadata": {},
"cell_type": "code",
"input": "%load_ext autoreload\n%autoreload 2\n%aimport",
"prompt_number": 1,
"outputs": [
{
"output_type": "stream",
"text": "Modules to reload:\nall-except-skipped\n\nModules to skip:\n\n",
"stream": "stdout"
}
],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "import rsnetwork as rs\nimport igraph as ig\nimport nilearn as nl\nimport nibabel as ni\nimport nilearn.plotting as plotting",
"prompt_number": 8,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "import matplotlib.colors\nfrom random import random\ncolors = [(1,1,1)] + [(random(),random(),random()) for i in xrange(255)]\nnew_map = matplotlib.colors.LinearSegmentedColormap.from_list('new_map', colors, N=256)",
"prompt_number": 6,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "d = rs.FmriData.from_npz('/home/syoh/Data/residuals/103414/MNINonLinear/Results/rfMRI_REST1_LR/resid4d_icafix_filt_masked.npz')\nn = rs.Network.from_npz('../tmp/icafix/neighborhood_103414_1_LR_0.15_0.15.npz')\nn.fmri = d\nn.graph['neighborhood'] = n._graphify('neighborhood')",
"prompt_number": 3,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "p = rs.Parcellation(n.graph['neighborhood'])\np.detect_communities('multilevel', weights='w/d', return_levels=True)",
"prompt_number": 5,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "f = figure(figsize=(20,8))\nplotting.plot_stat_map(p.get_labels('multilevel', level=4, nifti_template=d), figure=f, cmap=new_map, cut_coords=(-1, 4, 9))\nshow()",
"prompt_number": 35,
"outputs": [
{
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"text": "<matplotlib.figure.Figure at 0x7f34dc693110>",
"output_type": "display_data",
"metadata": {}
}
],
"language": "python",
"trusted": true,
"collapsed": false
}
],
"metadata": {}
}
],
"metadata": {
"name": "",
"signature": "sha256:f061eb5c1da3a148c8f1f202673dc976469d38d0b2c830fd04b3aee7599c246a"
},
"nbformat": 3
}
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