Mercurial > hg > plosone_underreview
comparison notebooks/test_hubness.ipynb @ 90:e279ccea5f9b branch-tests
results on 30sec
| author | mpanteli <m.x.panteli@gmail.com> |
|---|---|
| date | Mon, 02 Oct 2017 15:32:23 +0100 |
| parents | 8a2d56880050 |
| children |
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| 89:8a2d56880050 | 90:e279ccea5f9b |
|---|---|
| 1 { | 1 { |
| 2 "cells": [ | 2 "cells": [ |
| 3 { | 3 { |
| 4 "cell_type": "code", | 4 "cell_type": "code", |
| 5 "execution_count": 1, | 5 "execution_count": 30, |
| 6 "metadata": { | 6 "metadata": {}, |
| 7 "collapsed": true | 7 "outputs": [ |
| 8 }, | 8 { |
| 9 "outputs": [], | 9 "name": "stdout", |
| 10 "output_type": "stream", | |
| 11 "text": [ | |
| 12 "The autoreload extension is already loaded. To reload it, use:\n", | |
| 13 " %reload_ext autoreload\n" | |
| 14 ] | |
| 15 } | |
| 16 ], | |
| 10 "source": [ | 17 "source": [ |
| 11 "import numpy as np\n", | 18 "import numpy as np\n", |
| 12 "import pickle\n", | 19 "import pickle\n", |
| 13 "from scipy.stats import pearsonr\n", | 20 "from scipy.stats import pearsonr\n", |
| 14 "from scipy.stats import skew\n", | 21 "from scipy.stats import skew\n", |
| 26 "import scripts.utils as utils" | 33 "import scripts.utils as utils" |
| 27 ] | 34 ] |
| 28 }, | 35 }, |
| 29 { | 36 { |
| 30 "cell_type": "code", | 37 "cell_type": "code", |
| 31 "execution_count": 2, | 38 "execution_count": 32, |
| 32 "metadata": { | 39 "metadata": {}, |
| 33 "collapsed": true | |
| 34 }, | |
| 35 "outputs": [], | 40 "outputs": [], |
| 36 "source": [ | 41 "source": [ |
| 37 "X_list, Y, Yaudio = pickle.load(open('../data/lda_data_melodia_8.pickle','rb'))\n", | 42 "#X_list, Y, Yaudio = pickle.load(open('../data/lda_data_melodia_8.pickle','rb'))\n", |
| 43 "X_list, Y, Yaudio = pickle.load(open('../data/lda_data_melodia_8_30sec.pickle','rb'))\n", | |
| 38 "#ddf = outliers.load_metadata(Yaudio, metadata_file='../data/metadata.csv')\n", | 44 "#ddf = outliers.load_metadata(Yaudio, metadata_file='../data/metadata.csv')\n", |
| 39 "#w, data_countries = utils_spatial.get_neighbors_for_countries_in_dataset(Y)\n", | 45 "#w, data_countries = utils_spatial.get_neighbors_for_countries_in_dataset(Y)\n", |
| 40 "#w_dict = utils_spatial.from_weights_to_dict(w, data_countries)\n", | 46 "#w_dict = utils_spatial.from_weights_to_dict(w, data_countries)\n", |
| 41 "X = np.concatenate(X_list, axis=1)\n", | 47 "X = np.concatenate(X_list, axis=1)\n", |
| 42 "\n", | 48 "\n", |
| 44 "#df_global, threshold, MD = outliers.get_outliers_df(X, Y, chi2thr=0.999)" | 50 "#df_global, threshold, MD = outliers.get_outliers_df(X, Y, chi2thr=0.999)" |
| 45 ] | 51 ] |
| 46 }, | 52 }, |
| 47 { | 53 { |
| 48 "cell_type": "code", | 54 "cell_type": "code", |
| 49 "execution_count": 3, | 55 "execution_count": 33, |
| 50 "metadata": { | 56 "metadata": {}, |
| 51 "collapsed": false | 57 "outputs": [ |
| 52 }, | 58 { |
| 53 "outputs": [ | 59 "data": { |
| 54 { | 60 "text/plain": [ |
| 55 "data": { | 61 "(8200, 381)" |
| 56 "text/plain": [ | 62 ] |
| 57 "(8200, 380)" | 63 }, |
| 58 ] | 64 "execution_count": 33, |
| 59 }, | |
| 60 "execution_count": 3, | |
| 61 "metadata": {}, | 65 "metadata": {}, |
| 62 "output_type": "execute_result" | 66 "output_type": "execute_result" |
| 63 } | 67 } |
| 64 ], | 68 ], |
| 65 "source": [ | 69 "source": [ |
| 73 "## distance matrix" | 77 "## distance matrix" |
| 74 ] | 78 ] |
| 75 }, | 79 }, |
| 76 { | 80 { |
| 77 "cell_type": "code", | 81 "cell_type": "code", |
| 78 "execution_count": 4, | 82 "execution_count": 35, |
| 79 "metadata": { | 83 "metadata": { |
| 80 "collapsed": true | 84 "collapsed": true |
| 81 }, | 85 }, |
| 82 "outputs": [], | 86 "outputs": [], |
| 83 "source": [ | 87 "source": [ |
| 84 "D = pairwise_distances(X, metric='mahalanobis')\n", | 88 "D = pairwise_distances(X, metric='mahalanobis')\n", |
| 85 "np.savetxt('../data/D_mahal.csv', D)" | 89 "#np.savetxt('../data/D_mahal.csv', D)\n", |
| 90 "np.savetxt('../data/D_mahal_30_sec.csv', D)" | |
| 86 ] | 91 ] |
| 87 }, | 92 }, |
| 88 { | 93 { |
| 89 "cell_type": "code", | 94 "cell_type": "code", |
| 90 "execution_count": 4, | 95 "execution_count": 4, |
| 91 "metadata": { | 96 "metadata": {}, |
| 92 "collapsed": false | |
| 93 }, | |
| 94 "outputs": [ | 97 "outputs": [ |
| 95 { | 98 { |
| 96 "data": { | 99 "data": { |
| 97 "text/plain": [ | 100 "text/plain": [ |
| 98 "(8200, 8200)" | 101 "(8200, 8200)" |
| 102 "metadata": {}, | 105 "metadata": {}, |
| 103 "output_type": "execute_result" | 106 "output_type": "execute_result" |
| 104 } | 107 } |
| 105 ], | 108 ], |
| 106 "source": [ | 109 "source": [ |
| 107 "D = np.loadtxt('../data/D_mahal.csv')\n", | 110 "#D = np.loadtxt('../data/D_mahal.csv')\n", |
| 111 "D = np.loadtxt('../data/D_mahal_30_sec.csv')\n", | |
| 108 "D.shape" | 112 "D.shape" |
| 109 ] | 113 ] |
| 110 }, | 114 }, |
| 111 { | 115 { |
| 112 "cell_type": "code", | 116 "cell_type": "code", |
| 113 "execution_count": 5, | 117 "execution_count": 36, |
| 114 "metadata": { | 118 "metadata": {}, |
| 115 "collapsed": false | 119 "outputs": [ |
| 116 }, | 120 { |
| 117 "outputs": [ | 121 "data": { |
| 118 { | 122 "image/png": 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ku4DbIuJI2u71UptyX28B96fyg0BfRAxHxDDQD6xLIbUG2FNj/3OI73I3s9lnwlCRNE/S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\nAAAAAElFTkSuQmCC\n", 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| 119 "data": { | 123 "text/plain": [ |
| 120 "image/png": 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| 124 "<matplotlib.figure.Figure at 0x7f75aa474a50>" |
| 121 "text/plain": [ | |
| 122 "<matplotlib.figure.Figure at 0x7f767464a390>" | |
| 123 ] | 125 ] |
| 124 }, | 126 }, |
| 125 "metadata": {}, | 127 "metadata": {}, |
| 126 "output_type": "display_data" | 128 "output_type": "display_data" |
| 127 } | 129 } |
| 137 "## n-occurrence and stats" | 139 "## n-occurrence and stats" |
| 138 ] | 140 ] |
| 139 }, | 141 }, |
| 140 { | 142 { |
| 141 "cell_type": "code", | 143 "cell_type": "code", |
| 142 "execution_count": 21, | 144 "execution_count": 37, |
| 143 "metadata": { | 145 "metadata": { |
| 144 "collapsed": true | 146 "collapsed": true |
| 145 }, | 147 }, |
| 146 "outputs": [], | 148 "outputs": [], |
| 147 "source": [ | 149 "source": [ |
| 154 " return N_k" | 156 " return N_k" |
| 155 ] | 157 ] |
| 156 }, | 158 }, |
| 157 { | 159 { |
| 158 "cell_type": "code", | 160 "cell_type": "code", |
| 159 "execution_count": 27, | 161 "execution_count": 40, |
| 160 "metadata": { | 162 "metadata": {}, |
| 161 "collapsed": false | |
| 162 }, | |
| 163 "outputs": [ | 163 "outputs": [ |
| 164 { | 164 { |
| 165 "name": "stdout", | 165 "name": "stdout", |
| 166 "output_type": "stream", | 166 "output_type": "stream", |
| 167 "text": [ | 167 "text": [ |
| 168 "60\n", | 168 "60\n", |
| 169 "10.0869227031\n", | 169 "10.5914304167\n", |
| 170 "0.0\n", | 170 "1.0\n", |
| 171 "60.0\n", | 171 "348.006117132\n", |
| 172 "389.813680947\n", | 172 "129 0.0157317073171\n", |
| 173 "142\n", | 173 "3332 0.406341463415\n" |
| 174 "7.70305908648\n" | |
| 175 ] | 174 ] |
| 176 }, | 175 }, |
| 177 { | 176 { |
| 178 "data": { | 177 "data": { |
| 179 "text/plain": [ | 178 "text/plain": [ |
| 180 "[<matplotlib.lines.Line2D at 0x7f75aa2cd2d0>]" | 179 "[<matplotlib.lines.Line2D at 0x7f761c127950>]" |
| 181 ] | 180 ] |
| 182 }, | 181 }, |
| 183 "execution_count": 27, | 182 "execution_count": 40, |
| 184 "metadata": {}, | 183 "metadata": {}, |
| 185 "output_type": "execute_result" | 184 "output_type": "execute_result" |
| 186 }, | 185 }, |
| 187 { | 186 { |
| 188 "data": { | 187 "data": { |
| 189 "image/png": 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|
| 190 "text/plain": [ | 189 "text/plain": [ |
| 191 "<matplotlib.figure.Figure at 0x7f761c147050>" | 190 "<matplotlib.figure.Figure at 0x7f75a9e9edd0>" |
| 192 ] | 191 ] |
| 193 }, | 192 }, |
| 194 "metadata": {}, | 193 "metadata": {}, |
| 195 "output_type": "display_data" | 194 "output_type": "display_data" |
| 196 }, | 195 }, |
| 197 { | 196 { |
| 198 "data": { | 197 "data": { |
| 199 "image/png": 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|
| 200 "text/plain": [ | 199 "text/plain": [ |
| 201 "<matplotlib.figure.Figure at 0x7f75aaa41dd0>" | 200 "<matplotlib.figure.Figure at 0x7f75aa8ed9d0>" |
| 202 ] | |
| 203 }, | |
| 204 "metadata": {}, | |
| 205 "output_type": "display_data" | |
| 206 }, | |
| 207 { | |
| 208 "data": { | |
| 209 "image/png": 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| |
| 210 "text/plain": [ | |
| 211 "<matplotlib.figure.Figure at 0x7f75aa39ac10>" | |
| 212 ] | 201 ] |
| 213 }, | 202 }, |
| 214 "metadata": {}, | 203 "metadata": {}, |
| 215 "output_type": "display_data" | 204 "output_type": "display_data" |
| 216 } | 205 } |
| 223 "N_k = n_occurrence_from_D(D, k=k)\n", | 212 "N_k = n_occurrence_from_D(D, k=k)\n", |
| 224 "\n", | 213 "\n", |
| 225 "print k\n", | 214 "print k\n", |
| 226 "print skew(N_k)\n", | 215 "print skew(N_k)\n", |
| 227 "print np.median(N_k)\n", | 216 "print np.median(N_k)\n", |
| 228 "print np.mean(N_k)\n", | |
| 229 "print np.std(N_k)\n", | 217 "print np.std(N_k)\n", |
| 230 "print len(np.where(N_k>1000)[0])\n", | 218 "print len(np.where(N_k>1000)[0]), len(np.where(N_k>1000)[0]) / float(len(N_k))\n", |
| 231 "print skew(N_k[N_k<1000])\n", | 219 "print len(np.where(N_k==0)[0]), len(np.where(N_k==0)[0]) / float(len(N_k))\n", |
| 232 "\n", | 220 "\n", |
| 233 "plt.figure()\n", | 221 "plt.figure()\n", |
| 234 "plt.hist(N_k, bins=100);\n", | 222 "plt.hist(N_k, bins=100);\n", |
| 235 "plt.figure()\n", | 223 "plt.figure()\n", |
| 236 "plt.hist(N_k[N_k<1000], bins=100);\n", | |
| 237 "plt.figure()\n", | |
| 238 "plt.plot(np.sort(N_k))" | 224 "plt.plot(np.sort(N_k))" |
| 239 ] | 225 ] |
| 240 }, | 226 }, |
| 241 { | 227 { |
| 242 "cell_type": "code", | 228 "cell_type": "code", |
| 252 ] | 238 ] |
| 253 }, | 239 }, |
| 254 { | 240 { |
| 255 "cell_type": "code", | 241 "cell_type": "code", |
| 256 "execution_count": 17, | 242 "execution_count": 17, |
| 257 "metadata": { | 243 "metadata": {}, |
| 258 "collapsed": false | |
| 259 }, | |
| 260 "outputs": [ | 244 "outputs": [ |
| 261 { | 245 { |
| 262 "data": { | 246 "data": { |
| 263 "text/plain": [ | 247 "text/plain": [ |
| 264 "array([[4650, 2942, 3520, ..., 3488, 2864, 6361],\n", | 248 "array([[4650, 2942, 3520, ..., 3488, 2864, 6361],\n", |
| 279 "D_k" | 263 "D_k" |
| 280 ] | 264 ] |
| 281 }, | 265 }, |
| 282 { | 266 { |
| 283 "cell_type": "code", | 267 "cell_type": "code", |
| 284 "execution_count": 23, | 268 "execution_count": 55, |
| 285 "metadata": { | 269 "metadata": { |
| 286 "collapsed": false | 270 "scrolled": false |
| 287 }, | 271 }, |
| 288 "outputs": [ | 272 "outputs": [ |
| 289 { | 273 { |
| 290 "name": "stdout", | 274 "name": "stdout", |
| 291 "output_type": "stream", | 275 "output_type": "stream", |
| 292 "text": [ | 276 "text": [ |
| 293 "142\n", | 277 "129\n" |
| 294 "[ 129 186 261 373 432 468 509 515 552 562 627 655 701 710 740\n", | 278 ] |
| 295 " 743 861 913 997 1012 1064 1128 1204 1273 1422 1426 1563 1566 1622 1761\n", | 279 }, |
| 296 " 1846 1933 1936 1949 1980 1989 2034 2042 2053 2110 2147 2329 2335 2346 2462\n", | 280 { |
| 297 " 2546 2549 2568 2651 2864 2903 3003 3044 3069 3170 3215 3239 3295 3383 3397\n", | 281 "data": { |
| 298 " 3441 3486 3488 3517 3520 3686 3712 3731 3859 3892 3982 4026 4035 4167 4208\n", | 282 "text/plain": [ |
| 299 " 4390 4421 4456 4549 4554 4571 4639 4650 4782 4822 4859 4860 4869 4940 5020\n", | 283 "<matplotlib.text.Text at 0x7f75aadd3390>" |
| 300 " 5042 5091 5119 5146 5189 5352 5432 5458 5493 5532 5707 5873 5894 5914 5926\n", | 284 ] |
| 301 " 5961 6056 6123 6143 6160 6242 6253 6346 6356 6439 6476 6487 6678 6819 6857\n", | 285 }, |
| 302 " 6859 6876 7027 7051 7053 7091 7312 7333 7361 7464 7478 7617 7627 7678 7783\n", | 286 "execution_count": 55, |
| 303 " 7849 7884 7888 7891 7920 8035 8106]\n", | 287 "metadata": {}, |
| 304 "['India' 'Kazakhstan' 'Lesotho' 'Somalia' 'Kazakhstan' 'Kazakhstan'\n", | 288 "output_type": "execute_result" |
| 305 " 'Kazakhstan' 'Nigeria' 'South Sudan' 'South Sudan' 'Nigeria' 'Kazakhstan'\n", | 289 }, |
| 306 " 'Nigeria' 'Kazakhstan' 'Kazakhstan' 'Kazakhstan' 'United Kingdom'\n", | 290 { |
| 307 " 'South Sudan' 'Uganda' 'Solomon Islands' 'United States of America'\n", | 291 "data": { |
| 308 " 'Lesotho' 'Australia' 'Solomon Islands' 'Fiji' 'Solomon Islands'\n", | 292 "image/png": 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iuTqPkPTCjDvF6yll8TlL6Tsoy9W9v9zMW29XuvBbXS2C3Mrfzt6k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\neOAqRVljETnr3+5jf7+StBRwDFF29iGgabnlacoGxAPSAsC6kqaNxpL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|
| 309 " 'Swaziland' 'Kazakhstan' 'Zambia' 'Kiribati' 'Kazakhstan' 'Kazakhstan'\n", | 293 "text/plain": [ |
| 310 " 'Kyrgyzstan' 'Kazakhstan' 'Iraq' 'Sierra Leone' 'Kazakhstan' 'Kyrgyzstan'\n", | 294 "<matplotlib.figure.Figure at 0x7f767424fc10>" |
| 311 " 'Swaziland' 'United Kingdom' 'Kazakhstan' 'Ireland' 'Kazakhstan'\n", | 295 ] |
| 312 " 'Sierra Leone' 'Australia' 'Lesotho' 'Swaziland' 'Western Sahara' 'Ghana'\n", | 296 }, |
| 313 " 'Kazakhstan' 'South Sudan' 'Ireland' 'Solomon Islands' 'Kazakhstan'\n", | 297 "metadata": {}, |
| 314 " 'Belgium' 'Swaziland' 'United Kingdom' 'Iraq' 'Kenya' 'Sierra Leone'\n", | 298 "output_type": "display_data" |
| 315 " 'Solomon Islands' 'Kazakhstan' 'Kenya' 'Democratic Republic of the Congo'\n", | |
| 316 " 'Swaziland' 'Lesotho' 'Western Sahara' 'Somalia' 'Somalia'\n", | |
| 317 " 'United Kingdom' 'United Kingdom' 'Nigeria' 'Kyrgyzstan' 'Kazakhstan'\n", | |
| 318 " 'Kazakhstan' 'United Kingdom' 'Australia' 'Kazakhstan' 'United Kingdom'\n", | |
| 319 " 'Nigeria' 'Kazakhstan' 'Kazakhstan' 'Solomon Islands' 'Sierra Leone'\n", | |
| 320 " 'Somalia' 'Kazakhstan' 'United Kingdom' 'Botswana' 'China' 'Swaziland'\n", | |
| 321 " 'New Zealand' 'Kazakhstan' 'Pakistan' 'Kazakhstan' 'Swaziland'\n", | |
| 322 " 'Solomon Islands' 'Kyrgyzstan' 'Kyrgyzstan' 'Uganda' 'Solomon Islands'\n", | |
| 323 " 'Solomon Islands' 'Kazakhstan' 'Australia' 'Kazakhstan' 'Sierra Leone'\n", | |
| 324 " 'South Sudan' 'Zambia' 'Western Sahara' 'Nigeria' 'Somalia' 'Nepal'\n", | |
| 325 " 'South Africa' 'Uganda' 'Nigeria' 'Kazakhstan' 'Swaziland' 'Iraq'\n", | |
| 326 " 'Australia' 'Sierra Leone' 'Pakistan' 'Swaziland' 'Solomon Islands'\n", | |
| 327 " 'Uganda' 'Ireland' 'Kazakhstan' 'Nigeria' 'Kazakhstan' 'Kazakhstan'\n", | |
| 328 " 'Kazakhstan' 'Kazakhstan' 'Somalia' 'Ireland' 'South Sudan' 'Nigeria'\n", | |
| 329 " 'Somalia' 'Solomon Islands' 'Kazakhstan' 'Australia' 'Iraq' 'Nigeria'\n", | |
| 330 " 'Solomon Islands' 'Ghana']\n", | |
| 331 "['D:/_Audio/Music-from-India/025A-RKDATX0070XX-0300A0.mp3'\n", | |
| 332 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-3200A0.mp3'\n", | |
| 333 " 'D:/_Audio/Kevin-Volans-South-Africa/025A-C0740X008X01-0700A0.mp3'\n", | |
| 334 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0021XX-1000A0.mp3'\n", | |
| 335 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-0500A0.mp3'\n", | |
| 336 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-1600A0.mp3'\n", | |
| 337 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-0700A0.mp3'\n", | |
| 338 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043663XX-0100A0.mp3'\n", | |
| 339 " 'D:/_Audio/Dinka-songs-from-South-Sudan/025A-C1580X0109XX-0001A0.mp3'\n", | |
| 340 " 'D:/_Audio/Dinka-songs-from-South-Sudan/025A-C1580X0156XX-0001A0.mp3'\n", | |
| 341 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043641XX-0200A0.mp3'\n", | |
| 342 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-2500A0.mp3'\n", | |
| 343 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043646XX-0200A0.mp3'\n", | |
| 344 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-2200A0.mp3'\n", | |
| 345 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0084XX-3400A0.mp3'\n", | |
| 346 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-2600A0.mp3'\n", | |
| 347 " 'D:/_Audio/Bob-and-Jacqueline-Patten-Collection/025A-C1033X0085XX-0600A0.mp3'\n", | |
| 348 " 'D:/_Audio/Dinka-songs-from-South-Sudan/025A-C1580X0117XX-0001A0.mp3'\n", | |
| 349 " 'D:/_Audio/Peter-Cooke-Uganda/025A-C0023X0006XX-0200A0.mp3'\n", | |
| 350 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0011XX-1300A0.mp3'\n", | |
| 351 " 'D:/_Audio/Bob-and-Jacqueline-Patten-Collection/025A-C1033X0309XX-2000A0.mp3'\n", | |
| 352 " 'D:/_Audio/Kevin-Volans-South-Africa/025A-C0740X004X04-0100A0.mp3'\n", | |
| 353 " 'D:/_Audio/Ethnographic-wax-cylinders/025A-C0080X1025XX-0100A0.mp3'\n", | |
| 354 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0011XX-1800A0.mp3'\n", | |
| 355 " 'D:/_Audio/GK-Roth-Fiji/025A-C0028X0006XX-0200A0.mp3'\n", | |
| 356 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0034XX-0100A0.mp3'\n", | |
| 357 " 'D:/_Audio/Rycroft/025A-C0811X0005XX-0300A0.mp3'\n", | |
| 358 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-1900A0.mp3'\n", | |
| 359 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0006XX-0400A0.mp3'\n", | |
| 360 " 'D:/_Audio/Simon-Seligman-Kiribati/025A-C0205X0004XX-0200A0.mp3'\n", | |
| 361 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-2000A0.mp3'\n", | |
| 362 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-0200A0.mp3'\n", | |
| 363 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0087XX-2200A0.mp3'\n", | |
| 364 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0084XX-3800A0.mp3'\n", | |
| 365 " 'D:/_Audio/Middle-Eastern-music-on-shellac-disc/025A-9CS0025122XX-0002A0.mp3'\n", | |
| 366 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043740XX-0100A0.mp3'\n", | |
| 367 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-1900A0.mp3'\n", | |
| 368 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0087XX-1600A0.mp3'\n", | |
| 369 " 'D:/_Audio/Rycroft/025A-C0811X0004XX-3700A0.mp3'\n", | |
| 370 " 'D:/_Audio/Bob-and-Jacqueline-Patten-Collection/025A-C1033X0338XX-0100A0.mp3'\n", | |
| 371 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-1400A0.mp3'\n", | |
| 372 " 'D:/_Audio/Terry-Yarnell-Collection/025A-C1005X0002XX-1200A0.mp3'\n", | |
| 373 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-1700A0.mp3'\n", | |
| 374 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043758XX-0100A0.mp3'\n", | |
| 375 " 'D:/_Audio/Ethnographic-wax-cylinders/025A-C0080X1076XX-0100A0.mp3'\n", | |
| 376 " 'D:/_Audio/Kevin-Volans-South-Africa/025A-C0740X004X24-0200A0.mp3'\n", | |
| 377 " 'D:/_Audio/Rycroft/025A-C0811X0005XX-2000A0.mp3'\n", | |
| 378 " 'D:/_Audio/Violeta-Ruano-portraits-of-Saharawi-Music/025A-C1640X0028XX-0001A0.mp3'\n", | |
| 379 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043498XX-0200A0.mp3'\n", | |
| 380 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-1700A0.mp3'\n", | |
| 381 " 'D:/_Audio/Dinka-songs-from-South-Sudan/025A-C1580X0145XX-0001A0.mp3'\n", | |
| 382 " 'D:/_Audio/Terry-Yarnell-Collection/025A-C1005X0006XX-2900A0.mp3'\n", | |
| 383 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0012XX-0100A0.mp3'\n", | |
| 384 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-3400A0.mp3'\n", | |
| 385 " 'D:/_Audio/Rycroft/025A-C0811X0097XX-0700A0.mp3'\n", | |
| 386 " 'D:/_Audio/Rycroft/025A-C0811X0005XX-1800A0.mp3'\n", | |
| 387 " 'D:/_Audio/Bob-and-Jacqueline-Patten-Collection/025A-C1033X0254XX-2500A0.mp3'\n", | |
| 388 " 'D:/_Audio/Middle-Eastern-music-on-shellac-disc/025A-9CS0026163XX-0002A0.mp3'\n", | |
| 389 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0003XX-1500A0.mp3'\n", | |
| 390 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043717XX-0200A0.mp3'\n", | |
| 391 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0001XX-0500A0.mp3'\n", | |
| 392 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-3100A0.mp3'\n", | |
| 393 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0003XX-1700A0.mp3'\n", | |
| 394 " 'D:/_Audio/Ken-Gourlay-Uganda/025A-C0105X0005XX-0400A0.mp3'\n", | |
| 395 " 'D:/_Audio/Rycroft/025A-C0811X0005XX-1100A0.mp3'\n", | |
| 396 " 'D:/_Audio/Kevin-Volans-South-Africa/025A-C0740X004X06-0500A0.mp3'\n", | |
| 397 " 'D:/_Audio/Violeta-Ruano-portraits-of-Saharawi-Music/025A-C1640X0025XX-0001A0.mp3'\n", | |
| 398 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0012XX-0300A0.mp3'\n", | |
| 399 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0024XX-0800A0.mp3'\n", | |
| 400 " 'D:/_Audio/Bob-and-Jacqueline-Patten-Collection/025A-C1033X0264XX-3300A0.mp3'\n", | |
| 401 " 'D:/_Audio/Bob-and-Jacqueline-Patten-Collection/025A-C1033X0323XX-0900A0.mp3'\n", | |
| 402 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043639XX-0100A0.mp3'\n", | |
| 403 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0087XX-0100A0.mp3'\n", | |
| 404 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-2400A0.mp3'\n", | |
| 405 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-1500A0.mp3'\n", | |
| 406 " 'D:/_Audio/Roy-Palmer-collection/025A-C1023X0006XX-0700A0.mp3'\n", | |
| 407 " 'D:/_Audio/Ethnographic-wax-cylinders/025A-C0080X1080XX-0100A0.mp3'\n", | |
| 408 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-1500A0.mp3'\n", | |
| 409 " 'D:/_Audio/Reg-Hall-Archive/025A-C0903X0094XX-0200A0.mp3'\n", | |
| 410 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043662XX-0200A0.mp3'\n", | |
| 411 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-1100A0.mp3'\n", | |
| 412 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-0300A0.mp3'\n", | |
| 413 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0030XX-0100A0.mp3'\n", | |
| 414 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043712XX-0200A0.mp3'\n", | |
| 415 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0017XX-0800A0.mp3'\n", | |
| 416 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-3000A0.mp3'\n", | |
| 417 " 'D:/_Audio/Bob-and-Jacqueline-Patten-Collection/025A-C1033X0281XX-3200A0.mp3'\n", | |
| 418 " 'D:/_Audio/John-Brearley-Botswana/025A-C0065X0043XX-0900A0.mp3'\n", | |
| 419 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0081XX-1500A0.mp3'\n", | |
| 420 " 'D:/_Audio/Rycroft/025A-C0811X0005XX-1300A0.mp3'\n", | |
| 421 " '/import/c4dm-scratch/matthiasm/data/smithsonian/12932/26829/SampleAudio.wav'\n", | |
| 422 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-0400A0.mp3'\n", | |
| 423 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0031XX-0500A0.mp3'\n", | |
| 424 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-2400A0.mp3'\n", | |
| 425 " 'D:/_Audio/Rycroft/025A-C0811X0005XX-0500A0.mp3'\n", | |
| 426 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0032XX-0200A0.mp3'\n", | |
| 427 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0084XX-0800A0.mp3'\n", | |
| 428 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0088XX-0400A0.mp3'\n", | |
| 429 " 'D:/_Audio/Ken-Gourlay-Uganda/025A-C0105X0021XX-1200A0.mp3'\n", | |
| 430 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0011XX-0800A0.mp3'\n", | |
| 431 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0011XX-1700A0.mp3'\n", | |
| 432 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-1400A0.mp3'\n", | |
| 433 " 'D:/_Audio/Ethnographic-wax-cylinders/025A-C0080X1020XX-0100A0.mp3'\n", | |
| 434 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-3000A0.mp3'\n", | |
| 435 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043759XX-0200A0.mp3'\n", | |
| 436 " 'D:/_Audio/Dinka-songs-from-South-Sudan/025A-C1580X0143XX-0001A0.mp3'\n", | |
| 437 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0006XX-0600A0.mp3'\n", | |
| 438 " 'D:/_Audio/Violeta-Ruano-portraits-of-Saharawi-Music/025A-C1640X0047XX-0001A0.mp3'\n", | |
| 439 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043665XX-0100A0.mp3'\n", | |
| 440 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0020XX-0800A0.mp3'\n", | |
| 441 " 'D:/_Audio/Carol-Tingey-Nepal-Collection/025A-C1465X0072XX-1400A0.mp3'\n", | |
| 442 " 'D:/_Audio/Rycroft/025A-C0811X0018XX-0200A0.mp3'\n", | |
| 443 " 'D:/_Audio/Peter-Cooke-Uganda/025A-C0023X0002XX-3300A0.mp3'\n", | |
| 444 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043644XX-0100A0.mp3'\n", | |
| 445 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-0900A0.mp3'\n", | |
| 446 " 'D:/_Audio/Rycroft/025A-C0811X0041XX-0800A0.mp3'\n", | |
| 447 " 'D:/_Audio/Middle-Eastern-music-on-shellac-disc/025A-9CS0025068XX-0002A0.mp3'\n", | |
| 448 " 'D:/_Audio/Ethnographic-wax-cylinders/025A-C0080X1071XX-0100A0.mp3'\n", | |
| 449 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043769XX-0100A0.mp3'\n", | |
| 450 " 'D:/_Audio/Nicholas-Pierce-Balochistan/025A-C0140X0012XX-0200A0.mp3'\n", | |
| 451 " 'D:/_Audio/Rycroft/025A-C0811X0005XX-1500A0.mp3'\n", | |
| 452 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0003XX-0200A0.mp3'\n", | |
| 453 " 'D:/_Audio/Peter-Cooke-Uganda/025A-C0023X0036XX-0700A0.mp3'\n", | |
| 454 " 'D:/_Audio/Terry-Yarnell-Collection/025A-C1005X0002XX-1000A0.mp3'\n", | |
| 455 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-1300A0.mp3'\n", | |
| 456 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043583XX-0200A0.mp3'\n", | |
| 457 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-2500A0.mp3'\n", | |
| 458 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-1200A0.mp3'\n", | |
| 459 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0085XX-2900A0.mp3'\n", | |
| 460 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0086XX-1000A0.mp3'\n", | |
| 461 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0012XX-1100A0.mp3'\n", | |
| 462 " 'D:/_Audio/Terry-Yarnell-Collection/025A-C1005X0002XX-0200A0.mp3'\n", | |
| 463 " 'D:/_Audio/Dinka-songs-from-South-Sudan/025A-C1580X0148XX-0001A0.mp3'\n", | |
| 464 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043691XX-0100A0.mp3'\n", | |
| 465 " 'D:/_Audio/John-Low-East-Africa/025A-C0027X0012XX-0200A0.mp3'\n", | |
| 466 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0011XX-1100A0.mp3'\n", | |
| 467 " 'D:/_Audio/Colin-Huehns-Pakistan/025A-C0485X0084XX-3700A0.mp3'\n", | |
| 468 " 'D:/_Audio/Ethnographic-wax-cylinders/025A-C0080X0816XX-0100A0.mp3'\n", | |
| 469 " 'D:/_Audio/Middle-Eastern-music-on-shellac-disc/025A-9CS0025050XX-0001A0.mp3'\n", | |
| 470 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043654XX-0100A0.mp3'\n", | |
| 471 " 'D:/_Audio/Firth-Tikopia/025A-C0333X0018XX-0200A0.mp3'\n", | |
| 472 " 'D:/_Audio/Decca-West-African-recordings/025A-1CS0043520XX-0100A0.mp3']\n" | |
| 473 ] | |
| 474 } | 299 } |
| 475 ], | 300 ], |
| 476 "source": [ | 301 "source": [ |
| 477 "large_hubs_idx = np.where(N_k>1000)[0]\n", | 302 "large_hubs_idx = np.where(N_k>1000)[0]\n", |
| 478 "print len(large_hubs_idx)\n", | 303 "print len(large_hubs_idx)\n", |
| 479 "print large_hubs_idx\n", | 304 "labs, counts = np.unique(Y[large_hubs_idx], return_counts=True)\n", |
| 480 "print Y[large_hubs_idx]\n", | 305 "plt.figure(figsize=(20, 5))\n", |
| 481 "print Yaudio[large_hubs_idx]" | 306 "plt.bar(range(len(labs)), counts, align='center');\n", |
| 482 ] | 307 "plt.xticks(range(len(labs)), labs, rotation=90);\n", |
| 483 }, | 308 "plt.ylabel('Count')\n", |
| 484 { | 309 "plt.xlabel('Country origins for recordings identified as large hubs')" |
| 485 "cell_type": "code", | |
| 486 "execution_count": 21, | |
| 487 "metadata": { | |
| 488 "collapsed": false | |
| 489 }, | |
| 490 "outputs": [ | |
| 491 { | |
| 492 "data": { | |
| 493 "text/plain": [ | |
| 494 "(7160,)" | |
| 495 ] | |
| 496 }, | |
| 497 "execution_count": 21, | |
| 498 "metadata": {}, | |
| 499 "output_type": "execute_result" | |
| 500 } | |
| 501 ], | |
| 502 "source": [ | |
| 503 "np.where(D_k==515)[0].shape" | |
| 504 ] | 310 ] |
| 505 }, | 311 }, |
| 506 { | 312 { |
| 507 "cell_type": "markdown", | 313 "cell_type": "markdown", |
| 508 "metadata": {}, | 314 "metadata": {}, |
| 510 "## let's get the audio url to listen to tracks identified as large hubs" | 316 "## let's get the audio url to listen to tracks identified as large hubs" |
| 511 ] | 317 ] |
| 512 }, | 318 }, |
| 513 { | 319 { |
| 514 "cell_type": "code", | 320 "cell_type": "code", |
| 515 "execution_count": 12, | 321 "execution_count": 56, |
| 516 "metadata": { | 322 "metadata": {}, |
| 517 "collapsed": false | |
| 518 }, | |
| 519 "outputs": [ | 323 "outputs": [ |
| 520 { | 324 { |
| 521 "name": "stderr", | 325 "name": "stderr", |
| 522 "output_type": "stream", | 326 "output_type": "stream", |
| 523 "text": [ | 327 "text": [ |
| 524 "/homes/mp305/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py:2822: DtypeWarning: Columns (0,1,2,4,5,6,7,8,10,11,12,13,14,15,16,17,19,21,22,23,24,25,26,27,29,31,35,38,39,40,41,44,45,48,55,56,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,93,95,96) have mixed types. Specify dtype option on import or set low_memory=False.\n", | 328 "/homes/mp305/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py:2822: DtypeWarning: Columns (0,1,2,4,5,6,7,8,10,11,12,13,14,15,16,17,19,21,22,23,24,25,26,27,29,31,35,38,39,40,41,44,45,48,55,56,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,93,95,96) have mixed types. Specify dtype option on import or set low_memory=False.\n", |
| 525 " if self.run_code(code, result):\n" | 329 " if self.run_code(code, result):\n" |
| 526 ] | |
| 527 }, | |
| 528 { | |
| 529 "name": "stdout", | |
| 530 "output_type": "stream", | |
| 531 "text": [ | |
| 532 "\n" | |
| 533 ] | 330 ] |
| 534 } | 331 } |
| 535 ], | 332 ], |
| 536 "source": [ | 333 "source": [ |
| 537 "ddf = outliers.load_metadata(Yaudio, metadata_file='../data/metadata_BLSM_language_all.csv')\n", | 334 "ddf = outliers.load_metadata(Yaudio, metadata_file='../data/metadata_BLSM_language_all.csv')\n", |
| 539 "# 'QMUL/Code/MyPythonCode/MergeBL-Smith/data/metadata_BLSM_language_all.csv')" | 336 "# 'QMUL/Code/MyPythonCode/MergeBL-Smith/data/metadata_BLSM_language_all.csv')" |
| 540 ] | 337 ] |
| 541 }, | 338 }, |
| 542 { | 339 { |
| 543 "cell_type": "code", | 340 "cell_type": "code", |
| 544 "execution_count": 6, | 341 "execution_count": 57, |
| 545 "metadata": { | 342 "metadata": {}, |
| 546 "collapsed": false | |
| 547 }, | |
| 548 "outputs": [ | 343 "outputs": [ |
| 549 { | 344 { |
| 550 "data": { | 345 "data": { |
| 551 "text/plain": [ | 346 "text/plain": [ |
| 552 "(8200, 108)" | 347 "(8200, 108)" |
| 553 ] | 348 ] |
| 554 }, | 349 }, |
| 555 "execution_count": 6, | 350 "execution_count": 57, |
| 556 "metadata": {}, | 351 "metadata": {}, |
| 557 "output_type": "execute_result" | 352 "output_type": "execute_result" |
| 558 } | 353 } |
| 559 ], | 354 ], |
| 560 "source": [ | 355 "source": [ |
| 561 "ddf.shape" | 356 "ddf.shape" |
| 562 ] | 357 ] |
| 563 }, | 358 }, |
| 564 { | 359 { |
| 565 "cell_type": "code", | 360 "cell_type": "code", |
| 566 "execution_count": 7, | 361 "execution_count": 58, |
| 567 "metadata": { | 362 "metadata": {}, |
| 568 "collapsed": false | |
| 569 }, | |
| 570 "outputs": [ | 363 "outputs": [ |
| 571 { | 364 { |
| 572 "data": { | 365 "data": { |
| 573 "text/plain": [ | 366 "text/plain": [ |
| 574 "True" | 367 "True" |
| 575 ] | 368 ] |
| 576 }, | 369 }, |
| 577 "execution_count": 7, | 370 "execution_count": 58, |
| 578 "metadata": {}, | 371 "metadata": {}, |
| 579 "output_type": "execute_result" | 372 "output_type": "execute_result" |
| 580 } | 373 } |
| 581 ], | 374 ], |
| 582 "source": [ | 375 "source": [ |
| 590 "### first, fix the url for BL tracks (because it was changed recently and the metadata.csv file is not updated) " | 383 "### first, fix the url for BL tracks (because it was changed recently and the metadata.csv file is not updated) " |
| 591 ] | 384 ] |
| 592 }, | 385 }, |
| 593 { | 386 { |
| 594 "cell_type": "code", | 387 "cell_type": "code", |
| 595 "execution_count": 14, | 388 "execution_count": 59, |
| 596 "metadata": { | 389 "metadata": {}, |
| 597 "collapsed": false | |
| 598 }, | |
| 599 "outputs": [ | 390 "outputs": [ |
| 600 { | 391 { |
| 601 "name": "stderr", | 392 "name": "stderr", |
| 602 "output_type": "stream", | 393 "output_type": "stream", |
| 603 "text": [ | 394 "text": [ |
| 618 ] | 409 ] |
| 619 }, | 410 }, |
| 620 { | 411 { |
| 621 "cell_type": "code", | 412 "cell_type": "code", |
| 622 "execution_count": 10, | 413 "execution_count": 10, |
| 623 "metadata": { | 414 "metadata": {}, |
| 624 "collapsed": false | |
| 625 }, | |
| 626 "outputs": [ | 415 "outputs": [ |
| 627 { | 416 { |
| 628 "data": { | 417 "data": { |
| 629 "text/plain": [ | 418 "text/plain": [ |
| 630 "array([ 'https://sounds.bl.uk/World-and-traditional-music/Decca-West-African-recordings/025M-1CS0043663XX-0100V0',\n", | 419 "array([ 'https://sounds.bl.uk/World-and-traditional-music/Decca-West-African-recordings/025M-1CS0043663XX-0100V0',\n", |
| 652 ] | 441 ] |
| 653 }, | 442 }, |
| 654 { | 443 { |
| 655 "cell_type": "code", | 444 "cell_type": "code", |
| 656 "execution_count": 7, | 445 "execution_count": 7, |
| 657 "metadata": { | 446 "metadata": {}, |
| 658 "collapsed": false | |
| 659 }, | |
| 660 "outputs": [ | 447 "outputs": [ |
| 661 { | 448 { |
| 662 "name": "stdout", | 449 "name": "stdout", |
| 663 "output_type": "stream", | 450 "output_type": "stream", |
| 664 "text": [ | 451 "text": [ |
| 694 ] | 481 ] |
| 695 }, | 482 }, |
| 696 { | 483 { |
| 697 "cell_type": "code", | 484 "cell_type": "code", |
| 698 "execution_count": 15, | 485 "execution_count": 15, |
| 699 "metadata": { | 486 "metadata": {}, |
| 700 "collapsed": false | |
| 701 }, | |
| 702 "outputs": [ | 487 "outputs": [ |
| 703 { | 488 { |
| 704 "name": "stdout", | 489 "name": "stdout", |
| 705 "output_type": "stream", | 490 "output_type": "stream", |
| 706 "text": [ | 491 "text": [ |
| 727 ] | 512 ] |
| 728 }, | 513 }, |
| 729 { | 514 { |
| 730 "cell_type": "code", | 515 "cell_type": "code", |
| 731 "execution_count": 6, | 516 "execution_count": 6, |
| 732 "metadata": { | 517 "metadata": {}, |
| 733 "collapsed": false | |
| 734 }, | |
| 735 "outputs": [ | 518 "outputs": [ |
| 736 { | 519 { |
| 737 "data": { | 520 "data": { |
| 738 "image/png": 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| 521 "image/png": 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|
| 739 "text/plain": [ | 522 "text/plain": [ |
| 751 ] | 534 ] |
| 752 }, | 535 }, |
| 753 { | 536 { |
| 754 "cell_type": "code", | 537 "cell_type": "code", |
| 755 "execution_count": 7, | 538 "execution_count": 7, |
| 756 "metadata": { | 539 "metadata": {}, |
| 757 "collapsed": false | |
| 758 }, | |
| 759 "outputs": [ | 540 "outputs": [ |
| 760 { | 541 { |
| 761 "data": { | 542 "data": { |
| 762 "image/png": 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| 798 "file_extension": ".py", | 579 "file_extension": ".py", |
| 799 "mimetype": "text/x-python", | 580 "mimetype": "text/x-python", |
| 800 "name": "python", | 581 "name": "python", |
| 801 "nbconvert_exporter": "python", | 582 "nbconvert_exporter": "python", |
| 802 "pygments_lexer": "ipython2", | 583 "pygments_lexer": "ipython2", |
| 803 "version": "2.7.11" | 584 "version": "2.7.12" |
| 804 } | 585 } |
| 805 }, | 586 }, |
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| 807 "nbformat_minor": 1 | 588 "nbformat_minor": 1 |
| 808 } | 589 } |