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philippjfr/gist:3995537

Forked from jlstevens/gist:3994938
Created November 1, 2012 18:23
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Displaying activity in IPython notebook
Raw
gistfile1.txt
{
"metadata": {
"name": "Better Activity 2"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import topo"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%run -i ./examples/gcal.ty"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"topo.sim.V1"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 4,
"text": [
"LISSOM(allow_skip_non_responding_units=True, apply_output_fns=True, beginning_of_iteration=[], continuous_learning=False, end_of_iteration=[], joint_norm_fn=<function compute_joint_norm_totals_opt at 0x389b758>, layout_location=(300, 100), mask=SheetMask(name='SheetMask00102', print_level=100), mask_init_time=5, measure_maps=True, name='V1', nominal_bounds=BoundingBox(radius=0.5), nominal_density=48.0, output_fns=[HomeostaticResponse(learning_rate=0.01, linear_slope=1.0, name='HomeostaticResponse00100', noise_magnitude=0.10000000000000001, norm_value=None, period=1.0, plastic=True, print_level=100, randomized_init=False, seed=42, smoothing=0.99099999999999999, t_init=0.14999999999999999, target_activity=0.024)], plastic=True, post_initialization_weights_output_fns=[], precedence=0.59999999999999998, print_level=100, row_precedence=0.5, strict_tsettle=None, tsettle=16)"
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def imact(objs, size=1.0, show_axes=False, label_name=True, norm_type=0, fig={},\n",
" show={'interpolation':'nearest', 'cmap':plt.cm.gray}):\n",
" \"\"\"\n",
" Displays the activity array of the given list of objects in row format.\n",
"\n",
" size: An overall size factor.\n",
" show_axes: Whether or not to show axes for each subplot.\n",
" label_name: Show the object name above the subplot\n",
" norm_type: 0:No normalization, 1:Individually, 2: Together.\n",
"\n",
" fig: Extra kwargs for the pyplot figure.\n",
" show: Extra kwargs for imshow. Note: norm will override norm_type if set.\n",
" \"\"\"\n",
"\n",
" fig = plt.figure(*fig)\n",
" (width, height) = fig.get_figwidth(), fig.get_figheight()\n",
" fig.set_figwidth(width*size)\n",
" fig.set_figheight(height*size)\n",
" \n",
" if norm==1:\n",
" show= dict({'norm':matplotlib.colors.Normalize()}, **show)\n",
" if norm==2:\n",
" activities = [obj.activity for obj in objs]\n",
" vmax = min(act.max() for act in activities)\n",
" vmin = min(act.min() for act in activities)\n",
" show= dict({'norm':matplotlib.colors.Normalize(vmin=vmin, vmax=vmax)}, **show)\n",
"\n",
" plot_num = len(objs)\n",
" for (i, obj) in enumerate(objs):\n",
" ax = plt.subplot(1,plot_num,i)\n",
" if label_name: plt.title(obj.name)\n",
" if not show_axes:\n",
" ax.yaxis.set_visible(False)\n",
" ax.xaxis.set_visible(False)\n",
" imshow(obj.activity, **show)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"topo.sim.run(1)\n",
"imact([topo.sim.V1,topo.sim.Retina])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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KVHlt+3KClF568Ov5+jKC/ze5vONutg33/4tMFwACIugCQECUF5A1lBfGx1jLAL4MwYp2\n44PyAgBMEgRdAAiIoAsAAeXdjDRgqhlrbZw6blhkugAQEEEXAAIi6AJAQARdAAiIoAsAARF0ASAg\ngi4ABETQBYCACLoAEBBBFwACIugCQEAEXQAIiKALAAERdAEgIIIuAARE0AWAgAi6ABAQQRcAAiLo\nAkBABF0ACIigCwABEXQBICCCLgAERNAFgIAIugAQEEEXAAIi6AJAQARdAAiIoAsAARF0ASAggi4A\nBETQBYCACLoAEBBBFwACIugCQEAEXQAIiKALAAERdAEgIIIuAARE0AWAgAi6ABAQQRcAAiLoAkBA\nBF0ACIigCwABEXQBICCCLgAERNAFgIAIugAQEEEXAAIi6AJAQARdAAiIoAsAARF0ASAggi4ABETQ\nBYCAEslkMpntkwCAqYJMFwACIugCQEAEXQAIiKALAAERdAEgIIIuAAT0P0FtSH18ZtovAAAAAElF\nTkSuQmCC\n"
}
],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"topo.sim."
],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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