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Merge pull request #5 from jisuoqing/master
Add yt volume rendering ipynb for focus session
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import yt\n", | ||
"import numpy as np\n", | ||
"from yt.testing import fake_vr_orientation_test_ds\n", | ||
"\n", | ||
"ds = fake_vr_orientation_test_ds()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# now we do volume rendering\n", | ||
"sc = yt.create_scene(ds, field='density')\n", | ||
"sc.render()\n", | ||
"sc.show(sigma_clip=6.0)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# now we do volume rendering\n", | ||
"sc = yt.create_scene(ds, field='density')\n", | ||
"# Change transfer function\n", | ||
"tf = yt.ColorTransferFunction((np.log10(0.1), np.log10(1.)))\n", | ||
"tf.sample_colormap(np.log10(0.9), 0.01, colormap=\"spectral\")\n", | ||
"tf.sample_colormap(np.log10(0.8), 0.01, colormap=\"spectral\")\n", | ||
"tf.sample_colormap(np.log10(0.6), 0.01, colormap=\"spectral\")\n", | ||
"tf.sample_colormap(np.log10(0.2), 0.01, colormap=\"spectral\")\n", | ||
"render_source = sc.get_source(0)\n", | ||
"render_source.transfer_function = tf" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"sc.render()\n", | ||
"sc.show(sigma_clip=6.0)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 2", | ||
"language": "python", | ||
"name": "python2" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 2 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython2", | ||
"version": "2.7.11" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 0 | ||
} |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import yt\n", | ||
"import numpy as np\n", | ||
"from yt.testing import fake_vr_orientation_test_ds\n", | ||
"\n", | ||
"ds = fake_vr_orientation_test_ds()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": true | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# now we do volume rendering\n", | ||
"sc = yt.create_scene(ds, field='density')\n", | ||
"# Change transfer function\n", | ||
"tf = yt.ColorTransferFunction((np.log10(0.1), np.log10(1.)))\n", | ||
"tf.sample_colormap(np.log10(0.9), 0.01, colormap=\"spectral\")\n", | ||
"tf.sample_colormap(np.log10(0.8), 0.01, colormap=\"spectral\")\n", | ||
"tf.sample_colormap(np.log10(0.6), 0.01, colormap=\"spectral\")\n", | ||
"tf.sample_colormap(np.log10(0.2), 0.01, colormap=\"spectral\")\n", | ||
"render_source = sc.get_source(0)\n", | ||
"render_source.transfer_function = tf" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# plane-parallel lens\n", | ||
"cam = sc.add_camera(ds, lens_type='plane-parallel')\n", | ||
"cam.resolution = (500, 500) # equivalent with cam.set_resolution()\n", | ||
"cam.width = ds.quan(4, 'code_length') # equivalent with cam.set_width()\n", | ||
"cam.position = ds.arr([2.5, 0, 0], 'code_length') # equivalent with cam.set_position()\n", | ||
"cam.switch_orientation(normal_vector=[-1, 0, 0],\n", | ||
" north_vector=[0, 0, 1])\n", | ||
"sc.render()\n", | ||
"sc.show(sigma_clip=2.0)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# perspective lens\n", | ||
"cam = sc.add_camera(ds, lens_type='perspective')\n", | ||
"cam.resolution = (500, 500)\n", | ||
"cam.width = ds.arr([2, 2, 1], 'code_length')\n", | ||
"cam.position = ds.arr([2.5, 0, 0], 'code_length')\n", | ||
"cam.switch_orientation(normal_vector=[-1, 0, 0],\n", | ||
" north_vector=[0 ,0, 1])\n", | ||
"sc.render()\n", | ||
"sc.show(sigma_clip=6.0)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# spherical lens\n", | ||
"cam = sc.add_camera(ds, lens_type='spherical')\n", | ||
"cam.resolution = (1000, 500)\n", | ||
"cam.position = ds.arr([0.5, 0, 0], 'code_length')\n", | ||
"cam.switch_orientation(normal_vector=[-1 ,0 ,0],\n", | ||
" north_vector=[0 ,0 ,1])\n", | ||
"sc.render()\n", | ||
"sc.show(sigma_clip=6.0)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# stereo-spherical lens (another similar lens is stereo-perspective)\n", | ||
"cam = sc.add_camera(ds, lens_type='stereo-spherical')\n", | ||
"cam.disparity = ds.domain_width[0] * 1.5e-3 # separation between two eyes\n", | ||
"cam.resolution = (1000, 1000)\n", | ||
"cam.position = ds.arr([0.5, 0, 0], 'code_length')\n", | ||
"cam.switch_orientation(normal_vector=[-1 ,0, 0],\n", | ||
" north_vector=[0, 0, 1])\n", | ||
"sc.render()\n", | ||
"sc.show(sigma_clip=6.0)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 2", | ||
"language": "python", | ||
"name": "python2" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 2 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython2", | ||
"version": "2.7.11" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 0 | ||
} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,128 @@ | ||
{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import yt\n", | ||
"import numpy as np\n", | ||
"from yt.testing import fake_vr_orientation_test_ds\n", | ||
"\n", | ||
"ds = fake_vr_orientation_test_ds()\n", | ||
"\n", | ||
"# now we do volume rendering\n", | ||
"sc = yt.create_scene(ds, field='density')\n", | ||
"# Change transfer function\n", | ||
"tf = yt.ColorTransferFunction((np.log10(0.1), np.log10(1.)))\n", | ||
"tf.sample_colormap(np.log10(0.9), 0.01, colormap=\"spectral\")\n", | ||
"tf.sample_colormap(np.log10(0.8), 0.01, colormap=\"spectral\")\n", | ||
"tf.sample_colormap(np.log10(0.6), 0.01, colormap=\"spectral\")\n", | ||
"tf.sample_colormap(np.log10(0.2), 0.01, colormap=\"spectral\")\n", | ||
"render_source = sc.get_source(0)\n", | ||
"render_source.transfer_function = tf" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# perspective camera\n", | ||
"cam = sc.add_camera(ds, lens_type='perspective')\n", | ||
"cam.resolution = (500, 500)\n", | ||
"cam.width = ds.arr([2, 2, 1], 'code_length')\n", | ||
"cam.position = ds.arr([2.5, 0, 0], 'code_length')\n", | ||
"cam.switch_orientation(normal_vector=[-1, 0, 0],\n", | ||
" north_vector=[0, 0, 1])\n", | ||
"sc.render()\n", | ||
"sc.show(sigma_clip=6.0)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# move cam by one step\n", | ||
"cam.position = ds.arr([4, 0, 0], 'code_length')\n", | ||
"sc.render()\n", | ||
"sc.show(sigma_clip=6.0)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# move cam by several steps\n", | ||
"final_position = ds.arr([2.5, 0, 0], 'code_length')\n", | ||
"for i in cam.iter_move(final_position, 5):\n", | ||
" sc.save('move_%04d' % i, sigma_clip=6.0)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# rotate cam by one step\n", | ||
"rot_center = ds.arr([0, 0, 0], 'code_length')\n", | ||
"angle = np.pi / 4.\n", | ||
"cam.rotate(angle, rot_vector=[0, 0, 1], rot_center=rot_center)\n", | ||
"sc.render()\n", | ||
"sc.show(sigma_clip=6.0)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": false | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"# rotate cam by several steps\n", | ||
"final_angle = -np.pi / 2.\n", | ||
"for i in cam.iter_rotate(final_angle, 5, rot_vector=[-1, 1, 0], rot_center=rot_center):\n", | ||
" sc.save('rotation_%04d' % i, sigma_clip=6.0)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 2", | ||
"language": "python", | ||
"name": "python2" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 2 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython2", | ||
"version": "2.7.11" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 0 | ||
} |