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"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"from SimPEG import mesh, utils\n",
"sz = [10,20,30]\n",
"M = mesh.TensorMesh(sz)\n",
"mtrue = utils.ModelBuilder.randomModel(sz,seed=786,its=20)\n",
"M.videoSlicer(utils.mkvc(mtrue), normal='x')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 2,
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}
],
"prompt_number": 2
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{
"cell_type": "code",
"collapsed": false,
"input": [
"models = [utils.ModelBuilder.randomModel(sz,seed=786,its=i) for i in range(40)]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
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"input": [
"def function(var, ax, clim, tlt, i):\n",
" p = M.slicer(var, normal='y', index=5, imageType='CC', ax=ax, clim=clim)\n",
" tlt.set_text('%d smoothing iterations'%(i))\n",
" return p\n",
" \n",
"M.video(models,function)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
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"prompt_number": 5
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}