Segmentation Overview (detection, photometry, and properties)

segment_photometry.ipynb

{
 "metadata": {
  "name": "",
  "signature": "sha256:a926fdb3f9fc26d62eb90e78b844dc951630887180daef831aa0673044c3d9d5"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from photutils.datasets import make_random_gaussians\n",
      "n_sources = 100\n",
      "flux_range = [500, 1000]\n",
      "shape = (300, 500)\n",
      "xmean_range = [0, 500]\n",
      "ymean_range = [0, 300]\n",
      "xstddev_range = [1, 5]\n",
      "ystddev_range = [1, 5]\n",
      "random_state = 12345\n",
      "source_table = make_random_gaussians(\n",
      "    n_sources, flux_range, xmean_range, ymean_range,\n",
      "    xstddev_range, ystddev_range,\n",
      "    random_state=random_state)\n",
      "from photutils.datasets import make_gaussian_sources\n",
      "from photutils.datasets import make_noise_image\n",
      "image1 = make_gaussian_sources(shape, source_table)\n",
      "image2 = image1 + make_noise_image(shape, type='gaussian', mean=0.,\n",
      "                                   stddev=2., random_state=random_state)\n",
      "background = np.zeros_like(image1) + 4.\n",
      "image = image1 + image2 + background\n",
      "error = np.sqrt(np.abs(image))\n",
      "plt.imshow(image)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "WARNING: AstropyDeprecationWarning: Use of an 'eval' method when defining subclasses of FittableModel is deprecated; please rename this method to 'evaluate'.  Otherwise its semantics remain the same. [astropy.modeling.core]\n",
        "WARNING:astropy:AstropyDeprecationWarning: Use of an 'eval' method when defining subclasses of FittableModel is deprecated; please rename this method to 'evaluate'.  Otherwise its semantics remain the same.\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 1,
       "text": [
        "<matplotlib.image.AxesImage at 0x111fd7bd0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Fk+S/G/8//WoG2oRv+mzaO0Me8pR1PEqF6ZnHUc+et15ugBBf5+V1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\nF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yevzA7FHeqRe9BhUkaS8+2gzRvqBzozH+Hw2PGhbSNlGIJGnpxviIGWTCfnj9JlC2Pa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fkXHWpeg9pxIAfFxK8etl1aMtHOmNLDpMrAH85Tcv8Yl+tgNoI5LvOBik4SW1rhupVAucR/cR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jvNuM+I/zet4OWgP8zXPC1iR7s9wmw0eSuFeFIO+vb+MDJoZNR8ele/Q+OW99CtjdTe8DDi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Y1Fm2ggkgZHe+Y1YP0sO24I8OW7RhmBRP8D5AI1M6vT1Z5oaMQ8bcSN8r5Jv7eLb0niij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\npkyZMmXKlGnZ6P8BvVrIAhKQzwYAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x11016c990>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import photutils\n",
      "segments = photutils.detect_sources(image, snr_threshold=2., npixels=5, background=background, error=error)\n",
      "plt.imshow(segments)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "<matplotlib.image.AxesImage at 0x113c995d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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AD5TspveVlZUaOHCgurq6Yseqq6t18uRJdXZ2xrXqjx07poMHD+rss8/O8I6r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\nIgAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x11016c4d0>"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "phot = photutils.segment_photometry(image, segments, error=error)\n",
      "phot"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<table id=\"table4564893840\"><thead><tr><th>id</th><th>segment_sum</th><th>segment_sum_err</th></tr></thead><tr><td>1</td><td>1132.93161459</td><td>33.65904952</td></tr><tr><td>2</td><td>1207.17363551</td><td>34.744404377</td></tr><tr><td>3</td><td>1565.00622042</td><td>39.5601595096</td></tr><tr><td>4</td><td>1411.4034574</td><td>37.5686499279</td></tr><tr><td>5</td><td>1427.16619261</td><td>37.7778532028</td></tr><tr><td>6</td><td>1940.1370732</td><td>44.046987107</td></tr><tr><td>7</td><td>1447.23668462</td><td>38.0425641174</td></tr><tr><td>8</td><td>1584.89126626</td><td>39.8106928634</td></tr><tr><td>9</td><td>1022.25146799</td><td>31.9726675145</td></tr><tr><td>10</td><td>1748.86450545</td><td>41.8194273687</td></tr><tr><td>11</td><td>1759.05676607</td><td>41.9411106918</td></tr><tr><td>...</td><td>...</td><td>...</td></tr><tr><td>77</td><td>1656.59082512</td><td>40.701238619</td></tr><tr><td>78</td><td>1675.5909507</td><td>40.9339828346</td></tr><tr><td>79</td><td>1779.5913608</td><td>42.1852031025</td></tr><tr><td>80</td><td>1809.84474345</td><td>42.5422700787</td></tr><tr><td>81</td><td>2032.28066943</td><td>45.080823744</td></tr><tr><td>82</td><td>1838.87929414</td><td>42.8821558942</td></tr><tr><td>83</td><td>1644.01783963</td><td>40.5464898559</td></tr><tr><td>84</td><td>1517.15693469</td><td>38.9506987703</td></tr><tr><td>85</td><td>1802.68590035</td><td>42.458048711</td></tr><tr><td>86</td><td>3328.52195462</td><td>57.6933441102</td></tr><tr><td>87</td><td>523.953136518</td><td>22.8900226413</td></tr></table>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "<Table rows=87 names=('id','segment_sum','segment_sum_err')>\n",
        "array([(1, 1132.9316145901962, 33.6590495200057),\n",
        "       (2, 1207.1736355133373, 34.7444043770121),\n",
        "       (3, 1565.0062204213823, 39.56015950955433),\n",
        "       (4, 1411.4034574025347, 37.56864992786585),\n",
        "       (5, 1427.1661926136328, 37.77785320281756),\n",
        "       (6, 1940.1370732037565, 44.04698710699469),\n",
        "       (7, 1447.236684624573, 38.0425641173748),\n",
        "       (8, 1584.8912662619741, 39.81069286337497),\n",
        "       (9, 1022.2514679901578, 31.972667514459253),\n",
        "       (10, 1748.8645054494348, 41.81942736874137),\n",
        "       (11, 1759.0567660658592, 41.941110691848145),\n",
        "       (12, 1203.9001293597141, 34.697264003948696),\n",
        "       (13, 1194.5672219869132, 34.56251180089365),\n",
        "       (14, 1479.8308229868871, 38.468569286976184),\n",
        "       (15, 1746.8841271365525, 41.79574293078845),\n",
        "       (16, 3754.4850305908353, 61.27385274805915),\n",
        "       (17, 527.0742647365665, 22.95809802088506),\n",
        "       (18, 1496.575258325455, 38.68559497184262),\n",
        "       (19, 1322.0543399604603, 36.36006518091601),\n",
        "       (20, 1924.7740275071635, 43.87224666582694),\n",
        "       (21, 1769.0127673686836, 42.05963346688465),\n",
        "       (22, 1097.3846276213383, 33.12679621728214),\n",
        "       (23, 1772.1633344724448, 42.09707037873829),\n",
        "       (24, 1546.9228717277992, 39.33094038702608),\n",
        "       (25, 2971.006401146376, 54.506939018315606),\n",
        "       (26, 1931.0818466015644, 43.94407635394746),\n",
        "       (27, 2402.7491519534215, 49.01784523980447),\n",
        "       (28, 1190.4019634183676, 34.502202298090594),\n",
        "       (29, 1558.0295130366876, 39.471882562612684),\n",
        "       (30, 1382.6801858938934, 37.18440783304063),\n",
        "       (31, 4590.605369905634, 67.75400630151427),\n",
        "       (32, 1534.3781081663562, 39.17113871419053),\n",
        "       (33, 1383.560298867199, 37.19624038618956),\n",
        "       (34, 2089.7258434355413, 45.71351926329389),\n",
        "       (35, 1715.4050561971353, 41.41744869251527),\n",
        "       (36, 1250.95818522244, 35.368887248858144),\n",
        "       (37, 1754.9748163131887, 41.892419556683386),\n",
        "       (38, 1326.025347212692, 36.41463094983514),\n",
        "       (39, 1395.6304026578732, 37.358137034090355),\n",
        "       (40, 800.08467122393, 28.285767997774606),\n",
        "       (41, 1966.4666381327495, 44.344860335023604),\n",
        "       (42, 2063.1162293228303, 45.4215392663308),\n",
        "       (43, 1265.506625160111, 35.573959930827364),\n",
        "       (44, 3149.5620211643504, 56.12095884038644),\n",
        "       (45, 3346.0719357561275, 57.845241254195905),\n",
        "       (46, 4054.286908194803, 63.673282530389486),\n",
        "       (47, 1600.4280422200738, 40.005350169946944),\n",
        "       (48, 1959.5999158583006, 44.26736852195193),\n",
        "       (49, 678.2759671145758, 26.043731820047906),\n",
        "       (50, 2105.2079077000426, 45.882544695123904),\n",
        "       (51, 1536.6852675882549, 39.200577388455066),\n",
        "       (52, 389.36083687192775, 19.73222838079693),\n",
        "       (53, 901.213574152943, 30.020219422131863),\n",
        "       (54, 1009.8756026933079, 31.778539971076516),\n",
        "       (55, 1285.3254604978215, 35.8514359614482),\n",
        "       (56, 1668.4593950083088, 40.84677949371662),\n",
        "       (57, 1989.730096913355, 44.606390763133426),\n",
        "       (58, 3204.6433524389167, 56.60956944226759),\n",
        "       (59, 1150.4546029960436, 33.918352008846824),\n",
        "       (60, 1896.2889734782998, 43.54640023559123),\n",
        "       (61, 1547.8629450801327, 39.34288938398059),\n",
        "       (62, 1766.7974980549893, 42.033290354848376),\n",
        "       (63, 3564.549619455681, 59.70384928508111),\n",
        "       (64, 912.3657408083394, 30.205392578285412),\n",
        "       (65, 1576.8131639243195, 39.709106813479444),\n",
        "       (66, 1805.649234051301, 42.49293157751417),\n",
        "       (67, 1943.3257921582033, 44.08316903488454),\n",
        "       (68, 1108.3761120723723, 33.29228307089155),\n",
        "       (69, 1396.3392688581837, 37.36762327012762),\n",
        "       (70, 1266.1130127077568, 35.58248182333207),\n",
        "       (71, 1789.3724082737658, 42.30097408185497),\n",
        "       (72, 1357.2636605485256, 36.8410594384652),\n",
        "       (73, 1839.8774336800584, 42.89379248422851),\n",
        "       (74, 3022.4738637301753, 54.97703032840329),\n",
        "       (75, 1192.646550896429, 34.53471515586062),\n",
        "       (76, 2469.7700638828906, 49.696781222558975),\n",
        "       (77, 1656.5908251223134, 40.70123861901887),\n",
        "       (78, 1675.5909507016383, 40.93398283457937),\n",
        "       (79, 1779.591360800461, 42.18520310251523),\n",
        "       (80, 1809.8447434471082, 42.542270078677134),\n",
        "       (81, 2032.2806694348687, 45.08082374396977),\n",
        "       (82, 1838.8792941361053, 42.882155894219046),\n",
        "       (83, 1644.0178396342512, 40.54648985589568),\n",
        "       (84, 1517.1569346924514, 38.95069877027178),\n",
        "       (85, 1802.6859003477052, 42.45804871102422),\n",
        "       (86, 3328.521954615757, 57.693344110181),\n",
        "       (87, 523.9531365179924, 22.890022641273042)], \n",
        "      dtype=[('id', '<i4'), ('segment_sum', '<f8'), ('segment_sum_err', '<f8')])"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# subtracting a background; subset of labels\n",
      "phot = photutils.segment_photometry(image, segments, error=error, background=background, labels=[1, 2, 10, 11])\n",
      "phot"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<table id=\"table4564893776\"><thead><tr><th>id</th><th>segment_sum</th><th>segment_sum_err</th><th>background_sum</th><th>background_mean</th></tr></thead><tr><td>1</td><td>944.93161459</td><td>33.65904952</td><td>188.0</td><td>4.0</td></tr><tr><td>2</td><td>947.173635513</td><td>34.744404377</td><td>260.0</td><td>4.0</td></tr><tr><td>10</td><td>1400.86450545</td><td>41.8194273687</td><td>348.0</td><td>4.0</td></tr><tr><td>11</td><td>1295.05676607</td><td>41.9411106918</td><td>464.0</td><td>4.0</td></tr></table>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "<Table rows=4 names=('id','segment_sum','segment_sum_err','background_sum','background_mean')>\n",
        "array([(1, 944.931614590196, 33.6590495200057, 188.0, 4.0),\n",
        "       (2, 947.173635513337, 34.7444043770121, 260.0, 4.0),\n",
        "       (10, 1400.864505449435, 41.81942736874137, 348.0, 4.0),\n",
        "       (11, 1295.0567660658596, 41.941110691848145, 464.0, 4.0)], \n",
        "      dtype=[('id', '<i8'), ('segment_sum', '<f8'), ('segment_sum_err', '<f8'), ('background_sum', '<f8'), ('background_mean', '<f8')])"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "t = photutils.segment_properties(image, segments, return_table=True)\n",
      "t"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<table id=\"table4564894352\"><thead><tr><th>id</th><th>xcentroid</th><th>ycentroid</th><th>xmin</th><th>xmax</th><th>ymin</th><th>ymax</th><th>min_value</th><th>max_value</th><th>minval_xpos</th><th>minval_ypos</th><th>maxval_xpos</th><th>maxval_ypos</th><th>area</th><th>equivalent_radius</th><th>perimeter</th><th>semimajor_axis_length</th><th>semiminor_axis_length</th><th>eccentricity</th><th>orientation</th></tr></thead><tr><td>1</td><td>235.440448405</td><td>1.21167637598</td><td>229</td><td>243</td><td>0</td><td>4</td><td>10.621693123</td><td>46.0824988227</td><td>242</td><td>2</td><td>233</td><td>0</td><td>47</td><td>3.86788891395</td><td>28.8994949366</td><td>2.97651837665</td><td>1.0224139128</td><td>0.939155152575</td><td>0.122799939578</td></tr><tr><td>2</td><td>493.728151338</td><td>5.77775515477</td><td>485</td><td>499</td><td>3</td><td>9</td><td>10.7510808347</td><td>31.0695293314</td><td>489</td><td>7</td><td>493</td><td>6</td><td>65</td><td>4.54864184147</td><td>34.7634559673</td><td>3.42383293317</td><td>1.34909805495</td><td>0.919096932014</td><td>0.278251405541</td></tr><tr><td>3</td><td>207.330869748</td><td>9.9612205508</td><td>201</td><td>213</td><td>4</td><td>16</td><td>10.5047207124</td><td>38.6208390855</td><td>210</td><td>4</td><td>207</td><td>11</td><td>79</td><td>5.0146267068</td><td>39.0060966544</td><td>3.8193674658</td><td>1.31753387064</td><td>0.938616918003</td><td>-0.8322533169</td></tr><tr><td>4</td><td>257.978948486</td><td>12.151984605</td><td>252</td><td>263</td><td>5</td><td>19</td><td>10.4727648513</td><td>25.256332566</td><td>257</td><td>5</td><td>258</td><td>12</td><td>90</td><td>5.35237234846</td><td>42.627416998</td><td>3.31450480397</td><td>2.07644278088</td><td>0.77944433125</td><td>-1.13283129863</td></tr><tr><td>5</td><td>364.961300123</td><td>11.2325539688</td><td>359</td><td>371</td><td>5</td><td>18</td><td>10.6126150728</td><td>28.5300402272</td><td>369</td><td>16</td><td>365</td><td>12</td><td>84</td><td>5.17088294583</td><td>39.4203102168</td><td>3.49710305327</td><td>1.72312748497</td><td>0.870182265951</td><td>0.979776317</td></tr><tr><td>6</td><td>289.647064813</td><td>22.3758823366</td><td>283</td><td>297</td><td>20</td><td>25</td><td>10.6670113232</td><td>61.8461364224</td><td>296</td><td>23</td><td>289</td><td>22</td><td>70</td><td>4.72034871941</td><td>33.8994949366</td><td>3.08214846858</td><td>1.31883779866</td><td>0.903828162351</td><td>0.0445041097105</td></tr><tr><td>7</td><td>379.202443093</td><td>27.5051375264</td><td>375</td><td>383</td><td>20</td><td>35</td><td>10.5485829941</td><td>27.4125488441</td><td>380</td><td>22</td><td>380</td><td>29</td><td>89</td><td>5.32255388609</td><td>43.4203102168</td><td>3.70232546773</td><td>1.756405847</td><td>0.880306103961</td><td>1.54108400898</td></tr><tr><td>8</td><td>441.358707338</td><td>31.1381678723</td><td>437</td><td>446</td><td>27</td><td>35</td><td>10.8626175859</td><td>52.9308917333</td><td>445</td><td>30</td><td>442</td><td>31</td><td>60</td><td>4.37019372237</td><td>28.3847763109</td><td>2.22460146816</td><td>1.59802805232</td><td>0.695688569177</td><td>0.854554938842</td></tr><tr><td>9</td><td>358.389258962</td><td>36.1046857753</td><td>355</td><td>362</td><td>30</td><td>43</td><td>10.5460967234</td><td>30.1700101262</td><td>356</td><td>43</td><td>359</td><td>36</td><td>58</td><td>4.29673985699</td><td>32.7634559673</td><td>2.92641437161</td><td>1.41672790862</td><td>0.875003092526</td><td>-1.28791007144</td></tr><tr><td>10</td><td>470.658029608</td><td>38.3097992982</td><td>464</td><td>477</td><td>33</td><td>43</td><td>10.4800118457</td><td>40.607507055</td><td>464</td><td>39</td><td>471</td><td>38</td><td>87</td><td>5.26241010355</td><td>39.4203102168</td><td>3.36155848459</td><td>1.68414965314</td><td>0.865445758737</td><td>-0.399494148498</td></tr><tr><td>11</td><td>111.868134494</td><td>41.1942422303</td><td>106</td><td>117</td><td>34</td><td>48</td><td>10.5575640496</td><td>24.312606441</td><td>107</td><td>46</td><td>111</td><td>42</td><td>116</td><td>6.07650777975</td><td>57.2842712475</td><td>3.38863696913</td><td>2.67650333553</td><td>0.613304470275</td><td>-1.30592039048</td></tr><tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr><tr><td>77</td><td>186.875793062</td><td>239.257141369</td><td>179</td><td>194</td><td>237</td><td>242</td><td>10.7762140935</td><td>67.5465135335</td><td>179</td><td>237</td><td>187</td><td>239</td><td>57</td><td>4.25953794589</td><td>32.5208152802</td><td>3.19795120131</td><td>0.995338393173</td><td>0.950330517909</td><td>0.181975774763</td></tr><tr><td>78</td><td>397.331710595</td><td>246.933249523</td><td>392</td><td>403</td><td>242</td><td>251</td><td>10.5248812631</td><td>40.8817670467</td><td>399</td><td>243</td><td>398</td><td>247</td><td>80</td><td>5.04626504404</td><td>36.7989898732</td><td>2.93005172767</td><td>1.7653329056</td><td>0.798124874862</td><td>0.376010546744</td></tr><tr><td>79</td><td>446.636979017</td><td>247.904994036</td><td>440</td><td>452</td><td>242</td><td>254</td><td>10.5450353559</td><td>25.788256375</td><td>440</td><td>251</td><td>446</td><td>249</td><td>107</td><td>5.83602243156</td><td>39.7989898732</td><td>3.37002308388</td><td>2.25087040756</td><td>0.744242507434</td><td>-0.766193945866</td></tr><tr><td>80</td><td>355.583963136</td><td>252.270226664</td><td>351</td><td>361</td><td>248</td><td>257</td><td>10.5201964919</td><td>64.7289942133</td><td>361</td><td>250</td><td>356</td><td>252</td><td>65</td><td>4.54864184147</td><td>27.3847763109</td><td>2.21985950861</td><td>1.68264493607</td><td>0.65225903877</td><td>-0.608055114702</td></tr><tr><td>81</td><td>98.0003147385</td><td>254.160310307</td><td>89</td><td>107</td><td>250</td><td>258</td><td>10.4911556248</td><td>35.6603156772</td><td>106</td><td>251</td><td>97</td><td>254</td><td>109</td><td>5.89031218137</td><td>49.6629509039</td><td>4.07252812172</td><td>1.75464917407</td><td>0.902423506963</td><td>-0.140470014147</td></tr><tr><td>82</td><td>74.3895989472</td><td>259.80593047</td><td>69</td><td>79</td><td>256</td><td>263</td><td>10.8134267226</td><td>95.7139320203</td><td>77</td><td>256</td><td>74</td><td>260</td><td>50</td><td>3.98942280401</td><td>27.1421356237</td><td>2.28206669429</td><td>1.1508823825</td><td>0.863519272074</td><td>-0.588039425345</td></tr><tr><td>83</td><td>82.6192325098</td><td>267.69395438</td><td>77</td><td>88</td><td>262</td><td>274</td><td>10.4846857186</td><td>27.1039082518</td><td>87</td><td>270</td><td>83</td><td>268</td><td>100</td><td>5.64189583548</td><td>39.8700576851</td><td>2.84090259852</td><td>2.54205911985</td><td>0.446453460119</td><td>-1.47591397128</td></tr><tr><td>84</td><td>477.891320901</td><td>267.875555437</td><td>473</td><td>483</td><td>264</td><td>272</td><td>10.5222525811</td><td>38.7955955585</td><td>480</td><td>272</td><td>478</td><td>268</td><td>73</td><td>4.8204379149</td><td>32.3847763109</td><td>2.46132880753</td><td>1.90372743317</td><td>0.633851036526</td><td>0.20921336165</td></tr><tr><td>85</td><td>139.68276153</td><td>275.26986528</td><td>135</td><td>145</td><td>271</td><td>280</td><td>10.5596336531</td><td>51.3069764097</td><td>135</td><td>280</td><td>139</td><td>275</td><td>74</td><td>4.85334230996</td><td>29.5563491861</td><td>2.57741727201</td><td>1.7317384895</td><td>0.740651793966</td><td>-0.727483571135</td></tr><tr><td>86</td><td>434.061417732</td><td>285.532855448</td><td>428</td><td>440</td><td>275</td><td>294</td><td>10.4857462247</td><td>56.4929185243</td><td>440</td><td>286</td><td>433</td><td>289</td><td>134</td><td>6.5309666014</td><td>65.4264068712</td><td>4.78530719501</td><td>2.37220867544</td><td>0.868478084342</td><td>1.31169729475</td></tr><tr><td>87</td><td>130.877320324</td><td>297.609505115</td><td>126</td><td>137</td><td>295</td><td>299</td><td>10.5689219008</td><td>17.6097927012</td><td>127</td><td>295</td><td>133</td><td>298</td><td>40</td><td>3.56824823231</td><td>28.5208152802</td><td>3.05468217277</td><td>1.17589675604</td><td>0.922937858421</td><td>0.0886127760539</td></tr></table>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "<Table rows=87 names=('id','xcentroid','ycentroid','xmin','xmax','ymin','ymax','min_value','max_value','minval_xpos','minval_ypos','maxval_xpos','maxval_ypos','area','equivalent_radius','perimeter','semimajor_axis_length','semiminor_axis_length','eccentricity','orientation')>\n",
        "array([ (1, 235.4404484045604, 1.2116763759846714, 229, 243, 0, 4, 10.621693123025375, 46.08249882273229, 242, 2, 233, 0, 47, 3.8678889139475245, 28.899494936611667, 2.9765183766466556, 1.0224139128041152, 0.9391551525750461, 0.12279993957821018),\n",
        "       (2, 493.7281513379529, 5.777755154767812, 485, 499, 3, 9, 10.751080834653987, 31.06952933138343, 489, 7, 493, 6, 65, 4.54864184146723, 34.76345596729059, 3.4238329331725645, 1.3490980549506364, 0.9190969320142217, 0.27825140554053407),\n",
        "       (3, 207.33086974833282, 9.961220550800213, 201, 213, 4, 16, 10.504720712375503, 38.620839085527194, 210, 4, 207, 11, 79, 5.014626706796775, 39.00609665440987, 3.8193674657978645, 1.3175338706372903, 0.9386169180026674, -0.832253316900344),\n",
        "       (4, 257.9789484857975, 12.151984605011851, 252, 263, 5, 19, 10.47276485126693, 25.256332566003707, 257, 5, 258, 12, 90, 5.352372348458314, 42.62741699796952, 3.3145048039703813, 2.0764427808793893, 0.7794443312496547, -1.1328312986295601),\n",
        "       (5, 364.96130012322186, 11.23255396881175, 359, 371, 5, 18, 10.612615072825506, 28.530040227230153, 369, 16, 365, 12, 84, 5.170882945826411, 39.42031021678297, 3.4971030532726908, 1.723127484966696, 0.8701822659512297, 0.979776316999576),\n",
        "       (6, 289.6470648131531, 22.375882336624677, 283, 297, 20, 25, 10.667011323248389, 61.84613642243845, 296, 23, 289, 22, 70, 4.720348719413148, 33.89949493661167, 3.0821484685812153, 1.318837798655651, 0.9038281623510752, 0.04450410971051814),\n",
        "       (7, 379.2024430925199, 27.50513752641899, 375, 383, 20, 35, 10.548582994142382, 27.412548844093244, 380, 22, 380, 29, 89, 5.322553886092406, 43.42031021678297, 3.7023254677311868, 1.7564058469951402, 0.8803061039610149, 1.541084008975544),\n",
        "       (8, 441.358707337983, 31.13816787230094, 437, 446, 27, 35, 10.862617585866037, 52.930891733265675, 445, 30, 442, 31, 60, 4.370193722368317, 28.384776310850235, 2.224601468160591, 1.5980280523173185, 0.6956885691771941, 0.8545549388419215),\n",
        "       (9, 358.38925896241693, 36.10468577527329, 355, 362, 30, 43, 10.546096723385732, 30.17001012615195, 356, 43, 359, 36, 58, 4.296739856991561, 32.7634559672906, 2.9264143716100315, 1.416727908621685, 0.8750030925262141, -1.2879100714390896),\n",
        "       (10, 470.65802960809646, 38.30979929820684, 464, 477, 33, 43, 10.480011845690521, 40.607507054966916, 464, 39, 471, 38, 87, 5.262410103554244, 39.42031021678297, 3.361558484591885, 1.684149653141383, 0.8654457587373732, -0.3994941484977445),\n",
        "       (11, 111.8681344944875, 41.19424223029521, 106, 117, 34, 48, 10.557564049593164, 24.312606441027746, 107, 46, 111, 42, 116, 6.076507779746499, 57.2842712474619, 3.388636969134782, 2.676503335525986, 0.6133044702749901, -1.30592039047527),\n",
        "       (12, 1.657364665004327, 39.72880214433081, 0, 5, 36, 44, 10.647688014881645, 64.37829924866145, 5, 38, 0, 41, 40, 3.5682482323055424, 22.863961030678926, 1.9680373161519273, 1.2513985149297766, 0.7718034526955426, -1.1210852018790114),\n",
        "       (13, 35.95085752852573, 45.66538978722653, 30, 41, 40, 51, 10.507812648757058, 22.39908470732849, 34, 49, 36, 46, 83, 5.140011726956917, 43.384776310850235, 3.1157699040106, 2.197973616605586, 0.7087744676360608, 0.7121152544128798),\n",
        "       (14, 389.8118383794109, 56.80386766191509, 384, 397, 51, 63, 10.474455352257747, 27.467328468387073, 395, 58, 389, 55, 91, 5.382025607773058, 44.00609665440988, 3.62938913647236, 1.7937323206148457, 0.8693344219263325, 0.8426871284924702),\n",
        "       (15, 244.7216945186009, 58.37872854885278, 240, 250, 52, 65, 10.666408207592324, 35.57869648783675, 243, 52, 244, 58, 90, 5.352372348458314, 39.384776310850235, 2.823502223876552, 2.1078659493703547, 0.665337118399079, 1.3120716300013633),\n",
        "       (16, 11.550521046423173, 64.44723064240958, 3, 20, 53, 73, 10.526890323701274, 57.85250022350306, 3, 73, 8, 69, 164, 7.225151993843567, 66.6335136523794, 6.451366928312978, 1.8072102764820677, 0.9599625777260219, -0.9067801602619212),\n",
        "       (17, 284.4324030834803, 55.942082082094345, 279, 290, 53, 59, 10.510718495925516, 16.558870434902467, 290, 59, 285, 56, 42, 3.656366395715726, 29.106601717798213, 2.7031141045475295, 1.504733273273213, 0.8307360128823079, 0.044758260757095616),\n",
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        "       (21, 346.8702886969934, 66.81633017279997, 340, 353, 62, 73, 10.475612387451548, 25.418509858304247, 343, 67, 346, 67, 114, 6.023896332520351, 45.834523779156065, 3.2319647344956963, 2.6239730407019315, 0.5838219731242489, 0.2849882831304225),\n",
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        "       (23, 257.85032312852456, 74.72032034867604, 253, 263, 69, 79, 10.612162351840459, 44.88183178885889, 255, 78, 258, 75, 79, 5.014626706796775, 31.763455967290593, 2.5292805096318998, 1.963425788649809, 0.6303902516198484, 0.873390432818786),\n",
        "       (24, 307.78106766419796, 76.46668426884911, 302, 313, 71, 82, 10.683768092613803, 36.857008656458746, 306, 82, 308, 76, 80, 5.046265044040321, 38.55634918610404, 3.2236746268956216, 1.6351000778687925, 0.8618188325610828, -1.004236755459257),\n",
        "       (25, 464.22284050719577, 79.4311614082848, 457, 470, 71, 88, 10.902381912234297, 49.788817791160255, 465, 71, 463, 80, 130, 6.432750982580687, 50.077164466275356, 3.6409768528093998, 2.6938440333553064, 0.6727515311990447, 1.309031865747691),\n",
        "       (26, 182.21887385951607, 93.17504565994524, 179, 186, 86, 100, 10.795709335039673, 69.40630853715562, 181, 89, 182, 93, 66, 4.583497844237541, 37.21320343559643, 3.1997198953670214, 1.1441970530342689, 0.9338775787389005, -1.2361618996215926),\n",
        "       (27, 228.2670538208061, 101.78335858859958, 224, 237, 89, 112, 10.69315619842633, 51.32833038508397, 230, 92, 227, 105, 118, 6.128667601500942, 69.73401871576775, 6.342863087183195, 1.5362396100309028, 0.9702264167356326, -1.1671179209831115),\n",
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        "       (31, 74.34937593661586, 113.81790464790211, 68, 83, 103, 124, 10.498315123606607, 65.59412295947615, 81, 116, 72, 111, 220, 8.368283871884005, 71.63351365237939, 4.707238579560712, 3.483740636449311, 0.6725170872201829, 1.513993799747482),\n",
        "       (32, 397.04455833926545, 109.79096886385744, 391, 403, 103, 116, 10.52691735509312, 25.320519810854016, 392, 108, 396, 111, 100, 5.641895835477563, 42.00609665440987, 3.428531003237515, 2.1958967213779523, 0.7679769939580304, -0.8323172150055668),\n",
        "       (33, 147.21812948854816, 113.39883119664535, 143, 151, 107, 120, 10.605476592354892, 40.5837897919881, 147, 108, 148, 115, 64, 4.51351666838205, 35.55634918610404, 3.5186557366315245, 1.1597463028812078, 0.9441209309849065, 1.1866933953133496),\n",
        "       (34, 341.31493487756785, 114.39664918146514, 335, 348, 109, 120, 10.514987237555859, 52.4850614469636, 337, 113, 341, 115, 86, 5.232078956954491, 41.49137802864845, 3.383008454744664, 1.5341101555080767, 0.8912689370102236, -0.6300653321294365),\n",
        "       (35, 290.7787048182259, 113.54089505834939, 287, 295, 110, 117, 11.029145563273177, 83.80981232323518, 287, 112, 291, 114, 51, 4.029119531035698, 24.899494936611664, 1.774896864289145, 1.5525815602269573, 0.48458412453369226, -0.2169171703192659),\n",
        "       (36, 207.23028114593214, 114.59487077282502, 202, 213, 111, 119, 10.954566172980984, 50.494905149314995, 213, 117, 206, 114, 52, 4.068428945128219, 31.591883092036785, 3.0585276107359123, 1.0127003895146898, 0.9435931585764805, 0.5720245854613911),\n",
        "       (37, 132.15955952329594, 123.92363361576143, 127, 138, 118, 130, 10.493621718233534, 35.17863100251597, 138, 124, 132, 123, 91, 5.382025607773058, 40.21320343559643, 2.6097107561171367, 2.325076228926349, 0.4541356754166823, 1.1241015973145),\n",
        "       (38, 352.62997665605513, 123.83753826001525, 347, 358, 119, 129, 10.82442538099648, 30.174495726537206, 358, 120, 353, 124, 78, 4.982787485166879, 36.384776310850235, 3.0351554721767475, 1.8225843430232505, 0.7996313169251531, -0.7366486201603385),\n",
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        "       (76, 296.1063792336043, 242.970003293909, 289, 308, 235, 250, 10.527373489147859, 80.48546449250446, 302, 235, 293, 245, 113, 5.997417539138688, 58.698484809834994, 5.798741727640298, 1.6819852382955192, 0.9570083463734421, -0.5805349645813197),\n",
        "       (77, 186.8757930622072, 239.25714136942585, 179, 194, 237, 242, 10.776214093490749, 67.54651353351667, 179, 237, 187, 239, 57, 4.259537945889915, 32.520815280171306, 3.197951201312125, 0.9953383931731267, 0.9503305179089833, 0.1819757747630161),\n",
        "       (78, 397.3317105954468, 246.93324952263512, 392, 403, 242, 251, 10.52488126308987, 40.88176704674906, 399, 243, 398, 247, 80, 5.046265044040321, 36.79898987322333, 2.930051727666294, 1.765332905597548, 0.7981248748616796, 0.376010546744329),\n",
        "       (79, 446.63697901747014, 247.90499403649312, 440, 452, 242, 254, 10.545035355927851, 25.78825637496329, 440, 251, 446, 249, 107, 5.836022431559495, 39.798989873223334, 3.3700230838758136, 2.2508704075557304, 0.7442425074339798, -0.7661939458664182),\n",
        "       (80, 355.58396313633546, 252.2702266637147, 351, 361, 248, 257, 10.520196491895334, 64.72899421325886, 361, 250, 356, 252, 65, 4.54864184146723, 27.384776310850235, 2.219859508606646, 1.6826449360654894, 0.6522590387704292, -0.6080551147024319),\n",
        "       (81, 98.00031473850011, 254.1603103065399, 89, 107, 250, 258, 10.49115562475799, 35.66031567724163, 106, 251, 97, 254, 109, 5.890312181373172, 49.66295090390226, 4.07252812172176, 1.7546491740672228, 0.9024235069630814, -0.140470014147024),\n",
        "       (82, 74.38959894719363, 259.80593046963844, 69, 79, 256, 263, 10.813426722621289, 95.71393202032067, 77, 256, 74, 260, 50, 3.989422804014327, 27.14213562373095, 2.282066694285842, 1.1508823825014303, 0.8635192720742891, -0.5880394253446406),\n",
        "       (83, 82.6192325098348, 267.69395437993956, 77, 88, 262, 274, 10.484685718620455, 27.103908251780496, 87, 270, 83, 268, 100, 5.641895835477563, 39.8700576850888, 2.840902598518346, 2.542059119847806, 0.44645346011882475, -1.4759139712848177),\n",
        "       (84, 477.891320901149, 267.87555543684556, 473, 483, 264, 272, 10.522252581074127, 38.795595558498675, 480, 272, 478, 268, 73, 4.820437914901168, 32.384776310850235, 2.461328807534756, 1.9037274331748606, 0.6338510365255455, 0.20921336164984955),\n",
        "       (85, 139.68276152974468, 275.2698652798566, 135, 145, 271, 280, 10.559633653102551, 51.30697640969905, 135, 280, 139, 275, 74, 4.853342309955121, 29.556349186104043, 2.5774172720086845, 1.7317384894991255, 0.7406517939657975, -0.7274835711351268),\n",
        "       (86, 434.06141773196373, 285.53285544773024, 428, 440, 275, 294, 10.485746224714799, 56.4929185243219, 440, 286, 433, 289, 134, 6.530966601401967, 65.42640687119285, 4.785307195011452, 2.3722086754352043, 0.8684780843421019, 1.3116972947519194),\n",
        "       (87, 130.87732032409733, 297.60950511512675, 126, 137, 295, 299, 10.568921900780927, 17.609792701173646, 127, 295, 133, 298, 40, 3.5682482323055424, 28.520815280171313, 3.054682172766473, 1.1758967560378921, 0.9229378584214182, 0.08861277605385083)], \n",
        "      dtype=[('id', '<i8'), ('xcentroid', '<f8'), ('ycentroid', '<f8'), ('xmin', '<i8'), ('xmax', '<i8'), ('ymin', '<i8'), ('ymax', '<i8'), ('min_value', '<f8'), ('max_value', '<f8'), ('minval_xpos', '<i8'), ('minval_ypos', '<i8'), ('maxval_xpos', '<i8'), ('maxval_ypos', '<i8'), ('area', '<i8'), ('equivalent_radius', '<f8'), ('perimeter', '<f8'), ('semimajor_axis_length', '<f8'), ('semiminor_axis_length', '<f8'), ('eccentricity', '<f8'), ('orientation', '<f8')])"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "t = photutils.segment_properties(image, segments, labels=[1, 2, 10, 11], return_table=True)\n",
      "t"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<table id=\"table4626947792\"><thead><tr><th>id</th><th>xcentroid</th><th>ycentroid</th><th>xmin</th><th>xmax</th><th>ymin</th><th>ymax</th><th>min_value</th><th>max_value</th><th>minval_xpos</th><th>minval_ypos</th><th>maxval_xpos</th><th>maxval_ypos</th><th>area</th><th>equivalent_radius</th><th>perimeter</th><th>semimajor_axis_length</th><th>semiminor_axis_length</th><th>eccentricity</th><th>orientation</th></tr></thead><tr><td>1</td><td>235.440448405</td><td>1.21167637598</td><td>229</td><td>243</td><td>0</td><td>4</td><td>10.621693123</td><td>46.0824988227</td><td>242</td><td>2</td><td>233</td><td>0</td><td>47</td><td>3.86788891395</td><td>28.8994949366</td><td>2.97651837665</td><td>1.0224139128</td><td>0.939155152575</td><td>0.122799939578</td></tr><tr><td>2</td><td>493.728151338</td><td>5.77775515477</td><td>485</td><td>499</td><td>3</td><td>9</td><td>10.7510808347</td><td>31.0695293314</td><td>489</td><td>7</td><td>493</td><td>6</td><td>65</td><td>4.54864184147</td><td>34.7634559673</td><td>3.42383293317</td><td>1.34909805495</td><td>0.919096932014</td><td>0.278251405541</td></tr><tr><td>10</td><td>470.658029608</td><td>38.3097992982</td><td>464</td><td>477</td><td>33</td><td>43</td><td>10.4800118457</td><td>40.607507055</td><td>464</td><td>39</td><td>471</td><td>38</td><td>87</td><td>5.26241010355</td><td>39.4203102168</td><td>3.36155848459</td><td>1.68414965314</td><td>0.865445758737</td><td>-0.399494148498</td></tr><tr><td>11</td><td>111.868134494</td><td>41.1942422303</td><td>106</td><td>117</td><td>34</td><td>48</td><td>10.5575640496</td><td>24.312606441</td><td>107</td><td>46</td><td>111</td><td>42</td><td>116</td><td>6.07650777975</td><td>57.2842712475</td><td>3.38863696913</td><td>2.67650333553</td><td>0.613304470275</td><td>-1.30592039048</td></tr></table>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "<Table rows=4 names=('id','xcentroid','ycentroid','xmin','xmax','ymin','ymax','min_value','max_value','minval_xpos','minval_ypos','maxval_xpos','maxval_ypos','area','equivalent_radius','perimeter','semimajor_axis_length','semiminor_axis_length','eccentricity','orientation')>\n",
        "array([ (1, 235.4404484045604, 1.2116763759846714, 229, 243, 0, 4, 10.621693123025375, 46.08249882273229, 242, 2, 233, 0, 47, 3.8678889139475245, 28.899494936611667, 2.9765183766466556, 1.0224139128041152, 0.9391551525750461, 0.12279993957821018),\n",
        "       (2, 493.7281513379529, 5.777755154767812, 485, 499, 3, 9, 10.751080834653987, 31.06952933138343, 489, 7, 493, 6, 65, 4.54864184146723, 34.76345596729059, 3.4238329331725645, 1.3490980549506364, 0.9190969320142217, 0.27825140554053407),\n",
        "       (10, 470.65802960809646, 38.30979929820684, 464, 477, 33, 43, 10.480011845690521, 40.607507054966916, 464, 39, 471, 38, 87, 5.262410103554244, 39.42031021678297, 3.361558484591885, 1.684149653141383, 0.8654457587373732, -0.3994941484977445),\n",
        "       (11, 111.8681344944875, 41.19424223029521, 106, 117, 34, 48, 10.557564049593164, 24.312606441027746, 107, 46, 111, 42, 116, 6.076507779746499, 57.2842712474619, 3.388636969134782, 2.676503335525986, 0.6133044702749901, -1.30592039047527)], \n",
        "      dtype=[('id', '<i8'), ('xcentroid', '<f8'), ('ycentroid', '<f8'), ('xmin', '<i8'), ('xmax', '<i8'), ('ymin', '<i8'), ('ymax', '<i8'), ('min_value', '<f8'), ('max_value', '<f8'), ('minval_xpos', '<i8'), ('minval_ypos', '<i8'), ('maxval_xpos', '<i8'), ('maxval_ypos', '<i8'), ('area', '<i8'), ('equivalent_radius', '<f8'), ('perimeter', '<f8'), ('semimajor_axis_length', '<f8'), ('semiminor_axis_length', '<f8'), ('eccentricity', '<f8'), ('orientation', '<f8')])"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "props = photutils.segment_properties(image, segments, return_table=False)\n",
      "len(props)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "87"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "obj = props[10]\n",
      "print(obj.id)\n",
      "print(obj.xcentroid)\n",
      "print(obj.centroid)\n",
      "print(obj.minval_pos)\n",
      "print(obj.maxval_pos)\n",
      "print(obj.bbox)\n",
      "print(obj.covariance)\n",
      "print(obj.se_elongation)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "11\n",
        "111.868134494\n",
        "(41.19424223029521, 111.86813449448751)\n",
        "(46, 107)\n",
        "(42, 111)\n",
        "(34L, 106L, 48L, 117L)\n",
        "[[  7.45968046  -1.09128501]\n",
        " [ -1.09128501  11.18685015]]\n",
        "1.26606865165\n"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.imshow(obj.cutout_image)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "<matplotlib.image.AxesImage at 0x1151f5050>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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vXqy5c+dq+vTpNdvvvPNOpaamOj0OABACHI9VcXGx5s6dK0l66KGHFBUVpV27dmn16tWK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\nAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x11016c150>"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.imshow(obj.isolated_cutout_image)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "<matplotlib.image.AxesImage at 0x11529ebd0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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36+2339aePXsUCATUunVrDR06VKmpqaaXFnL79u3TO++8o3379unkyZO69tpr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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x113c99a10>"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.imshow(obj.cutout_image_maskedarray)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "<matplotlib.image.AxesImage at 0x115435b90>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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36+2339aePXsUCATUunVrDR06VKmpqaaXFnL79u3TO++8o3379unkyZO69tpr\nNWDAAI0cOVKNGzc2vTzHnD59WkuWLFFeXp7y8/NVUlKiiRMnavDgwVXue/DgQb3xxhvas2ePoqKi\n1LNnT2VkZMjtdhtYubPqdaxefPFFbd68Wb/61a/Url07ffDBB5o8ebJeffVV3XTTTaaXF1Jer1d7\n9+5V37591bFjRxUXF2vFihUaN26c3njjDXXo0MH0EuuMz+fT4sWLddVVV8nlcpleTp359NNPNXXq\nVHXp0kX333+/mjRpou+//15HjhwxvbSQ++qrrzRhwgTFx8crLS1NzZs31549e7Rw4ULt379fM2bM\nML1Ex/j9fmVnZ+u6665TQkKCPvvss2r/nvt8Pj3xxBO65pprNHbsWJ06dUrLli3T119/rTlz5qhR\no3r9dF9/Y5WXl6eNGzfqkUce0YgRIyRJAwcOVHp6ut566y29/vrrhlcYWiNGjFBiYqIaNmxYsa1f\nv35KT0+X1+vVM888Y3B1dWvOnDnq3r27ysrK5Pf7TS+nTpw8eVIzZ85Ur169NH36dNPLqXM5OTkq\nLS3VzJkz1b59e0lSSkqKgsGg1q1bp5KSEjVr1szwKp0RFxen5cuXKyYmRvv27dOjjz5a7f0WLVqk\nM2fOaN68eWrZsqUkKTExUU8//bTWrFmjoUOH1uWyHVdvX7PatGmTGjZsqLvvvrtiW3R0tO666y7t\n3btXPp/P4OpCr3v37pVCJUlt27ZV+/btdejQIUOrqnuff/65Nm/erIyMDAWDwYg5svrwww91/Phx\njRkzRtL5U0Xnzp0zvKq6U36a76dXPIiNjVWDBg0UFRVlYlkhERUVpZiYmEveb8uWLerVq1dFqCQp\nOTlZ7dq100cffRTCFdaNehurAwcOqF27dmrSpEml7TfeeGPF7ZEmGAzq2LFjYXF+uibKyso0a9Ys\npaSkRNRpT0nauXOnrr76avl8Pj3wwANKSUnR0KFDlZWVdckLgoaDIUOGKCYmRi+//LIOHDigoqIi\n5eTkaOXKlUpNTQ2r16xqwufz6fjx4xXPfxdKTEzUl19+aWBVzqq3pwGPHj2quLi4KtvLtx09erSu\nl2Tchg0bdPTo0Yp/bYe7lStXqqioSOnp6aaXUucKCgpUVlamadOmKSUlRePGjdOuXbu0YsUKlZSU\n6NlnnzW9xJCKj4/X7NmzNXnyZI0bN65i++jRoyPy70NxcbGk80eWPxUbG6sTJ06otLS0Xr9uVW9X\nHggEqj2uMS1FAAAEgklEQVTUL78Q7pkzZ+p6SUYdOnRIr732mrp3765BgwaZXk7I+f1+LVy4UA88\n8EDEHEle6Mcff9SZM2c0bNgwjR8/XpLUp08flZaWatWqVUpPT1fbtm0NrzJ0iouLNXnyZEnSU089\nJbfbre3bt2vx4sWKiYnR8OHDDa+wbpU/31V3IfALnxOJlQHR0dE6e/Zsle3lp0Ai6TRAcXGxpkyZ\nombNmmn69OkR8brN/Pnz5Xa7I+It2tUpfwIaMGBApe39+/fXqlWrtHfv3rCOVXZ2tnw+n7KzsxUf\nHy/pfKzPnTunuXPnasCAAWrevLnhVdad8ue76k4Bh8tzYr19zSouLq7at+iWn/6r7hRhOCopKdGk\nSZN08uRJvfTSS9WeBgg3BQUFWr16tYYPHy6fz6fCwkIVFhYqEAjo7NmzKiws1IkTJ0wvM6TKn6B/\n+sJ7+X+H++PfvXu3OnfuXPG/Q7nbbrtNZ86cibjXrMv/f19+OvBCxcXFat68eb0+qpLq8ZFV+ecN\nTp06pauvvrpie/m3TiYkJJhaWp0JBAKaOnWqvvvuO73yyiu6/vrrTS+pThw5ckTBYFCzZ8/W7Nmz\nq9x+7733Ki0tTRkZGQZWVze6dOminTt3yufzVfoQePk/4H7ue4HCQWlpabXvfiwtLZV0/s03kaRl\ny5Zq0aKF8vPzq9yWn58fFs+H9TZWffv21bJly7R69eqKz1kFAgGtWbNG3bp1q/T2zXBUVlam6dOn\nKy8vTzNmzFC3bt1ML6nOdOjQQc8991yl053BYFDz58/X6dOnNX78eLVp08bgCkOvX79+8nq9ev/9\n9/WLX/yiYvt7772nRo0a6ZZbbjG4utDr0qWLPvroIxUUFFSKdU5Ojho0aKBOnToZXJ0Zt99+u9at\nWyefz1fx/Ldz504VFBTo17/+teHVXbl6G6uuXbuqb9++mjdvno4dO6Y2bdpo7dq1Kioq0qRJk0wv\nL+TmzJmj7du3q1evXvL7/Vq/fn2l2wcOHGhoZaHndrvVp0+fKtvfffddSVLv3r3rekl1LiEhQUOG\nDNEHH3ygsrIy3Xzzzfrss8+0efNm3XfffWF/OnjkyJHavHmzHn/8cQ0fPlzXXHONPv74Y33yySdK\nSUkJu8df/i7P8iPnbdu2qaioSJKUmpqqpk2bavTo0dq0aZMyMzOVlpamU6dOaenSperYsaOGDBli\ncvmOqNffFBwIBDR//nxt2LBBJ06cUKdOnZSenq4ePXqYXlrIZWZm6osvvlAwWPWPz+Vy6cMPPzSw\nKrMyMzP1ww8/6M9//rPppdSJsrIyLVq0SGvWrNHRo0fVqlUr3XPPPUpLSzO9tDqRl5enhQsX6u9/\n/3vFdREHDRqkUaNGqUGDevtyfLU8Ho8OHz4sSRVnFMo/BP+Xv/xF1113nSTpm2++0Ztvvqndu3cr\nOjpaPXv21GOPPRYWp4XrdawAAJEhvP75AQAIS8QKAGA9YgUAsB6xAgBYj1gBAKxHrAAA1iNWAADr\nESsAgPWIFQDAesQKAGA9YgUAsB6xAgBY7/8D2Fv2/PeD0vsAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1152de790>"
       ]
      }
     ],
     "prompt_number": 11
    }
   ],
   "metadata": {}
  }
 ]
}