Files
simpeg/notebooks/exPlotImage2D.ipynb
T
Rowan Cockett e11a3ccf65 Bug Fixes in TensorView and test_utils
Updated ipnbs
2013-08-30 21:34:15 -07:00

244 lines
104 KiB
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{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import sys\n",
"sys.path.append('../')\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from SimPEG import TensorMesh\n",
"%pylab inline"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
}
],
"prompt_number": 17
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test 1D Plots\n",
"\n",
"For 1D nodal or cell-centered plots are supported.\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x0 = np.zeros(1)\n",
"h = np.random.rand(32)\n",
"mesh = TensorMesh([h],x0)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ax1 = plt.subplot()\n",
"ax1.set_title('sin(x) on CC grid')\n",
"ph1 = mesh.plotImage(np.sin(mesh.gridCC),ax=ax1)\n",
"ax2 = plt.subplot()\n",
"ax2.set_title('sin(x) on N grid')\n",
"ph2 = mesh.plotImage(np.sin(mesh.gridN), ax=ax2,imageType='N')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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zYXuXLytzBUNruX4d6N6d9WEoaeel+6muZkNDz5wBXFx4RyNtwcHARx+xfZBF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\n",
"text": [
"<matplotlib.figure.Figure at 0x10f27cf10>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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AOnXqhMGDByO1WiZKTU3FCy+8gNatW2PMmDHIzs62er6YGAExMQJiYwV7wtKU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\n",
"text": [
"<matplotlib.figure.Figure at 0x10f51c910>"
]
}
],
"prompt_number": 19
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test 2D Plots\n",
"\n",
"Plot x and y coordinates of cell-centred points"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x0 = np.zeros(2)\n",
"h1 = np.linspace(.1,.5,3)\n",
"h2 = np.linspace(.1,.5,5)\n",
"mesh = TensorMesh([h1,h2],x0)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = plt.figure(1)\n",
"ax1 = plt.subplot()\n",
"ax1.set_title('mesh.gridCC[:,0]')\n",
"mesh.plotImage(mesh.gridCC[:,0],ax = ax1)\n",
"ax2 = plt.subplot()\n",
"ax2.set_title('mesh.gridFx[:,1]')\n",
"mesh.plotImage(mesh.gridFx[:,1],ax = ax2,imageType='Fx')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x10cbb52d0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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GGjZsmEaPHq09e/bowIEDtf4QO3AluqJ+wQ1oLJYsWaJmzZpp1KhRqq6uVt++\nfVVYWKjU1FSnowE/GnsMAAADxxgAAAaKAQBgoBgAAAaKAQBgoBgAAAaKAQBgoBgAAAaKAQBg+F94\niFFs+w+jIAAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x10f8ca8d0>"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 21,
"text": [
"<matplotlib.collections.QuadMesh at 0x10e09c750>"
]
}
],
"prompt_number": 21
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test 3D Plots\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x0 = np.zeros(3)\n",
"h1 = np.linspace(.1,.5,3)\n",
"h1 = np.r_[1,2,1]\n",
"h2 = np.r_[1,3]\n",
"h3 = np.linspace(.1,.5,10)\n",
"\n",
"mesh = TensorMesh([h1,h2,h3],x0)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ax1 = plt.subplot()\n",
"ax1.set_title('mesh.gridCC[:,0]')\n",
"a1 = mesh.plotImage(mesh.gridCC[:,0],ax=ax1,annotationColor='w')\n",
"ax2 = plt.subplot()\n",
"ax2.set_title('mesh.gridFx[:,1]')\n",
"a2 = mesh.plotImage(mesh.gridFx[:,1],ax=ax2,imageType='Fx')\n",
"ax3 = plt.subplot()\n",
"ax3.set_title('mesh.gridEz[:,2]')\n",
"mesh.plotImage(mesh.gridEz[:,2],ax=ax3,imageType='Ez')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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0enl7Y/vkyXewWtOnbz+fKypCl549YWZhgb2LFiH9zTc7XANDXGZVRUXo5eMD\nMwsLnPn8c1h264befn7YMn48aktLtctxzlY3uvaTdGNIP/uPH48xq1fjs5gYlJ05c4crNm369jNp\n+HB0cXCA6+jRCF64EBY2NkhbvrxDNTDEZTQbc2BX9SJU5uYws7DAi5WVkFQqmFtZYc733wMAEj09\nUV1SguqSEu0r2T/r7e8PAM3m0u5l+vST2mdIP70nTEBEUhI+l2Hu9m4Tm5UFOxcXvfpZef48Ks+f\nx4XjxyFJEoIXLcLBv/8dQqMxuA6GuIw24T+w9FuL8UlJyE9JQfbWrQhduhSahgZ889prAICaCxcA\nAEWHDmH4iy8CkgTcPCrv4++P2rIylObkGG0fTIk+/aT26dvPQTExGPv229j+pz8h59NPjVW2yfpw\n7FiYWVoa/Pg0s7SEZbdukFSqDoU4X6WQURUqUVFYCMeBA5G7fTsqCgrg6OODvF27UFFQgIqCAoim\nJgDAsbVr0XT9OmLS0+E6ejRGJyQgJC4OGW++yTNTbtKnnypzczj6+sLR1xdWtraw6dEDjr6+cPD0\nNPJemA59+hk0bx7GvfMOds+Zg/OHDqGroyO6OjrC2t7eyHthOqqKi3Xu57Dnn4f7Y4/hPnd33D9k\nCILmzUPgvHnI2rIFTY2NHaqDR+Iy6+3vD01DA8ry8mDVvTt6envjh7S025arKyvD+mHD8NjbbyNq\n61bUXLyIA/HxOLRypRGqNl269tP2gQcw8/hxADdeb+gzaBA8n3wSFYWFeNvN7U6XbbJ07efQOXMg\nqVR4fO1aPL52rfb2wtRUbBo9+k6WbNJ07afK3ByPrlyJ3/Tti9rSUhTs24fdc+cie+vWDtcgiU56\nhU2SJADxso65RJj+EaqZlCD7mEtv/ookaZlsYyqhl4D8/eyMXgLs573Yz856rkuSpNeJDwZPp6Sl\npcHT0xP9+vXDP//5T0OHISKiDjA4xOfOnYu1a9fiq6++QmJiIkoVerpXYeoPxi5BJ6m/OqfcVCmh\nn+ylvNhP4zIoxCsrKwEAI0aMwIMPPoiwsDBk3PKWUiX5QSG/WKU8UZTQT/ZSXuyncRkU4kePHoWH\nh4f2upeXF9LT02UrioiIdNOpZ6cIsbQzh5dF/M1/shGd9wmE7KeMw96LvQTYTwU8NvUmDFBRUSH8\n/Py012fPni127drVbBk3NzcBgBdeeOGFFz0ubm5ueuWxQUfidnZ2AG6coeLi4oK9e/di6dKlzZbJ\nz883ZGjMmLcBAAAF7ElEQVQiItKDwdMpb775JmbOnInGxkbMmTMHDg4OctZFREQ66LQ3+xARUefr\nlM9OUcIbgYqKijBy5Eh4e3tDrVZj8+bNxi6pVRqNBv7+/ggPDzd2Ka26evUqpk6dioceesikz1Za\nt24dgoODMXjwYMybN8/Y5WjNmDEDjo6O8PHx0d5WXV2NiIgIuLi44IknnkBNTY0RK7yhpToXLlwI\nT09PDBo0CPPmzUNdXZ0RK7yhpTp/9sYbb0ClUqG8vNwIlf2itRo3bNgAT09PeHt74wVdvnfXkBc2\n2+Pn5ycOHDggCgsLRf/+/cXly5c7YzMdcuHCBXHixAkhhBCXL18Wrq6uoqqqyshVteyNN94Qf/jD\nH0R4eLixS2nV/PnzRVxcnKirqxONjY2ioqLC2CXdpqysTPTt21fU1NQIjUYjHnvsMbF7925jlyWE\nECItLU0cP35cDBgwQHvbihUrxOzZs0V9fb2YNWuWWLVqlRErvKGlOvfs2SM0Go3QaDQiJiZGvPfe\ne0as8IaW6hRCiPPnz4sxY8aIvn37irKyMiNVd0NLNZ46dUoEBQWJvLw8IYQQly5dancc2Y/ElfJG\noN69e8PPzw8A4ODgAG9vbxw7dszIVd2uuLgYX3zxBWJiYkz6iyS++uorLF68GNbW1jA3N9e++G1K\nbGxsIIRAZWUl6urqUFtbC3sT+VS+kJCQ22rJzMxEdHQ0rKysMGPGDJN4HrVU56OPPgqVSgWVSoUx\nY8bgwIEDRqruFy3VCQDPP/88VprIh8y1VGNKSgqio6PRr18/AEDPnj3bHUf2EFfiG4Hy8/ORnZ2N\noTe/tNiUPPfcc1i1ahVUJvzdhsXFxaivr0dsbCwCAwOxYsUK1NfXG7us29jY2GDNmjXo27cvevfu\njeHDh5vk7/xntz6XPDw8kJmZaeSK2rdu3TqTnfbbuXMnnJycMHDgQGOX0qo9e/YgKysLQ4YMQUxM\nDE6fPt3uOqabDHdIdXU1JkyYgNWrV6Nr167GLqeZXbt2oVevXvD39zfpo/D6+nrk5eUhMjISqamp\nyM7OxlYZPmJTbpcvX0ZsbCxOnz6NwsJCHDlyBMnJycYuq1Wm/DtvySuvvAJbW1tERUUZu5Tb1NbW\nIiEhAcuW/fJpi6bY3/r6epSXl+PgwYOIiIjA7Nmz211H9hAPCAhAbm6u9np2djaCgoLk3owsGhsb\nERkZicmTJyMiIsLY5dzm8OHD+Oyzz+Dq6opJkyZh3759mDJlirHLuo27uzv69++P8PBw2NjYYNKk\nSUhJSTF2WbfJzMxEUFAQ3N3d0aNHD0RFRSGthc9+NhUBAQHIufktTzk5OQgICDByRa3buHEjvvzy\nS3zwwQfGLqVF586dQ2FhIXx9feHq6ori4mIMHjwYly5dMnZpzQQFBWHChAmwsbFBeHg4cnNz2/1f\nrewhfusbgQoLC7F3714EBgbKvZkOE0IgOjoaAwYMMKmzFG6VkJCAoqIiFBQUYMuWLRg1ahQ2bdpk\n7LJa1K9fP2RkZKCpqQnJycl45JFHjF3SbUJCQnDs2DGUl5ejoaEBKSkpCAsLM3ZZrQoMDERSUhLq\n6uqQlJRksgdDu3fvxqpVq/DZZ5/B2tra2OW0yMfHBz/99BMKCgpQUFAAJycnHD9+HL169TJ2ac0M\nGzYMKSkpEEIgIyMDbm5u7fdU/tdchUhNTRUeHh7Czc1NvPXWW52xiQ47ePCgkCRJ+Pr6Cj8/P+Hn\n5ydSUlKMXVarUlNTTfrslDNnzojAwEDh6+sr5s+fL2pqaoxdUos2bNggRowYIYYMGSLi4uKERqMx\ndklCCCEmTpwo+vTpIywtLYWTk5NISkoSVVVVYvz48cLZ2VlERESI6upqY5eprdPCwkI4OTmJ9evX\nC3d3d+Hi4qJ9HsXGxhq7zBb7eStXV1ejn53SUo3Xr18XM2fOFB4eHuKJJ54QmZmZ7Y7DN/sQESnY\nPf/CJhGRkjHEiYgUjCFORKRgDHEiIgVjiBMRKRhDnIhIwRjiREQKxhAnIlKw/wccbPccKouemAAA\nAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x10e0916d0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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VAIAjR/KxeHEAJAm4t1Pu5dUDxcVVOHeuSK67YFR0mSe1TNd5RkUNxpo1IfjD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\nljgRkYL9Px5JJb38BetZAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x10fe8fb90>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x10cae5410>"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 23,
"text": [
"<matplotlib.collections.QuadMesh at 0x10e7ca410>"
]
}
],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 23
}
],
"metadata": {}
}
]
}