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@lkluft
Created September 13, 2016 10:17
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Create and register a divergent colormap.
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{
"cells": [
{
"metadata": {
"collapsed": false,
"trusted": false
},
"cell_type": "code",
"source": "%matplotlib inline\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib import colors\n\n\ndef create_divergent_cmap(top=\"darkorange\", zero='white', bottom='darkblue', name='DivergentCmap'):\n \"\"\"Create and register a divergent colormap.\n \n Specify colorname [0] for top, middle and bottom of colormap.\n \n [0] http://matplotlib.org/examples/color/named_colors.html\n \n Parameters:\n top (str): Color on top.\n zero (str): Color in the middle.\n bottom (str): Color at the bottom.\n name (str): Name with which the colormap is registered.\n \n Returns:\n LinearSegmentedColormap.\n \"\"\"\n import matplotlib.pyplot as plt\n from matplotlib import colors\n \n cmap_data = [colors.cnames[c] for c in [bottom, zero, top]]\n cmap = colors.LinearSegmentedColormap.from_list(name, cmap_data)\n plt.register_cmap(name, cmap)\n \n return cmap\n\n\n# Create two divergent colormaps\ncreate_divergent_cmap(name=\"Cmap1\")\ncreate_divergent_cmap(top='darkgreen', name='Cmap2')\n\n# pcolormesh plot to demonstrate the use of our newly created colormap.\nM = np.random.randn(50, 50)\nfig, [ax1, ax2] = plt.subplots(1, 2, figsize=(10, 4))\npcm = ax1.pcolormesh(M, cmap='Cmap1')\nfig.colorbar(pcm, ax=ax1)\npcm = ax2.pcolormesh(M, cmap='Cmap2')\nfig.colorbar(pcm, ax=ax2)\n",
"execution_count": 1,
"outputs": [
{
"data": {
"text/plain": "<matplotlib.colorbar.Colorbar at 0x112a2cfd0>"
},
"execution_count": 1,
"output_type": "execute_result",
"metadata": {}
},
{
"data": {
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jG27ixR1JraaarG3lCjpbkX4BzWfeZa+Lu//+M+lsk00v0vzduUNNNn16fzr7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\nJn8NAD2R3zk3EsDdqDoFYAmAzgAedc7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fxZt8cMC211x0Om+0QbMuNP6i2D5XfRLW82Wk\nDOF5x3EmGlR5kI6++142zdu0sU1D48bxxpcNm/aZbO1a3gZ0bof3aI4uk2wWzZ+rSy57m+YvzSQf\ncJTxNhq0zqBxQqF9PSYcXMmXUTjURHdem0AGgfc/59uq0/fcbcN0+/wBADKD3JdG0SZ677OmdDQj\nI9lkO3bE8OWGiOc5eJ6/Zhi/80fgAPCKo9qZF8dh255tSNh1+DVf2Za7KbDPuqlNGb9u9vmV3E19\n29vteflaUjWI4G76z0rrpiv6czet3WO3Bfn5vM1szqvcTVHdrJvK1nDHBnNTyzjrppLV1ksAkDKU\nu6lwv/VQyz7cTbGx1k3tPf5cZRVyNw1Jt24a15tv18oruJvmz7Nu6km8BACdg7gpa3PN3ZQdb900\naQDxEoC4GP5cXTHFuunxp/gH78UH+PY841TrptV5/P9JK3O5m4bGWzdd8H3upuw11k1PrCZeQvDn\ncPYye1+iiZcAYNuX35abHEJr0wzJTWHnpfDZoRFCiAihstJDZWXwbfOsWS9g1qxZR2V79xacaLF5\nqOpQbX1Mngz7adchcnzOCyGEqIecyEtASG6KGC9ph0YIIXzieccXx+TJl2Hy5MuOyj77bDlOPz14\n06XneQedc8sAjAbwOgC4qpObRwN4NMjNPib/fk51LoQQooFwIi8B/t0USV7SDo0QQoQPDwN4plog\nS1DVLhMLYAYAOOdmAtjmed6h8yX+BOAD59xtAP4HYAqqLuC89htebyGEEPWTiPCSdmiEEMInNTm0\nz25zIjzPe7G62/9eVB2yXwFgrOd5hy5gaA+g/Ij5j51zUwA8UP3zFYDvep632tfKCSGEiGhC8dKh\n2x2PSPGSdmiEEMIndbVDAwCe5z0O4PEg/zaKZC8DeNnXygghhKhX1NUODRAZXgqbHZqyph1woFnn\nr39/PUhR1CVDx9B8UNR2k/1p1nfo7M3TeWtM/HbbFrJqVR6d7TD8YpMlNePNFh8tSqP5qFG23aJH\njyQ6u317Ks3HjLHtFP/4B28FSUuLp/nlI3JsWBakuSwh3URvfcyb57ofLKR5n7akpaZxIp391+u8\nJWXcODt/Sv6bdHbIkPNp/uST9nEKBHjbx609HjNZp3OCnD5aPILGz86218N1787bby6+uCtf9k7S\nBNMsSBNi3iqes4rGGP66u/UB+/rv3982tQDA99P+zP9eX9uwtKfpADoaG9uY5rNmrTXZiBG80Wb9\nenuB49atRXzdQsTzar6DcuRtROSREt8BaS0Ou2nlh3xuzADrpkBj6yUACCzibjrtTOum1QXWS0Bw\nN118BnFTAncT1qaZiHkJALp359uI7GzrpkAHvh3146aUgcRL4G1mAJDeyropcyl30+bGxE1JvD0t\nrgl304K3rJuYlwBg0RbupjHETcxLQHA3rUy0bnp0CndTdoF105uv8Ou0/bhpeRZvKGsTz920Ktu6\nKVh1cFIz/rp76vc1d9OqZtZN143gzX/dk2ruJuYlAEj/ltwUipcO3a4+EDY7NEIIESnU5REaIYQQ\nwi91eYQmEtAOjRBC+EQ7NEIIIcKJhr5D4/8rRYUQQgghhBAiTNARGiGE8ElN+v7ZbYQQQoi6IBQv\nHbpdfUA7NEII4ROdciaEECKcaOinnIXNDk1paTlKSg63alxyXks+mM+bXRBr2y1uvpEv498vb6F5\nRkZrk52R+D7/ewXtTeSCtE0N61lC863FpHXsw7ttBqDd8P+juefZ5pOYGP60dmnJH7v3lttmndFt\nP6Cz+HKmicYP+Tmf3TaL5wfs/d7d6gI6evl4/tgVNW5ksh1x4+jsq8/x6vMfT60w2R9n8cfunD9M\nMNmMPrx1pl3ANpkAwPem9jfZjTfxyqS//IK3pGDjIhMV9fkZHW3eybb+AABKck308nv2sQCAu+6y\nr/NFi3hz0+7e99J8wYJtJps4sQmdbVTJn++ePU8xWcfY9XS2Y1vbPtQoj7/nQ0VHaBoOx7pp1Hju\nlbU5dvua3Jy3Ll13A1/G6/+xr1PmJQDYGOBuWp9r37PB2qaSu9j3WwzZPgPA3a9wN/3fhcxNfNsY\nzE1IsI9d5Re8jTQnlrtp5sfWTT8/l7vpnXXWTfFN+f0e04m76bTR9rGLjrZeAoChbbmbniNuOnMS\n3xYvepU/dtuet24qJO2nAFBQZt00eYr1EgDcdjN307SfWDe9sdJ6CQBuP4u7iTXS5RZZLwHAigUn\n76a7Rlg3MS8BwOAgbiott8838xIA5Ae4m0oSrJtK42rPTTpCI4QQwheVlVU/fm8jhBBC1AWheOnQ\n7eoD2qERQgifVInD7ylndbQyQgghGjyheOnQ7eoDajkTQgghhBBCRCw6QiOEED7RNTRCCCHCCV1D\nI4QQwhdqORNCCBFOqOVMCCGEL3SERgghRDihIzRhQvy+z9Ci8IhKu4/+Qef2DHuG5lHkcqDmBevo\n7KWd59L8krttTeT06cPpbGZmvsmuH8+Xi4oyGndoHWvDhOl8GQd5na3bbWsfb7iB1zBuyNlH89FD\nD5psS+536eycrX1NVrllP529/nJeVYm1tjLzlLY5fParN2jcvP8NJist5VWV11/Xg+avvbHVZFOn\nptDZW69OMtnLc7Pp7EUZ/7+9M4+Pqrz3/+cJIYQQQggQQgx7WEVkRyhiRBRFVFzqXhesVbvq7WJr\n+7u2tt7e622tS69drm1t63WrVbSK4IKoiIiKiMgaIGwhhBCSEEIISZ7fH5NAyPczkAkJs+Tzfr3m\nBfnkO2eeM3PmvHPmPOc7dtsAgNdet/VB2zO3S6DxroF3m6xn3B5au2YjX8awDHsF4OX9XqW1O2u/\nZrJgrSpfeGEDzW+dRbaP0vW0Fgd5y+sVKzqabPwp/H2FrKk2K0zmtc1EZ2jaDquLPsWhnUfc9Ph7\n3E2/v9K6KT6eX6aaW8jdlJ9mHfI88RIQ3E2rl9v9T+Uh7qaqavseGtOXeAnA7WdxN1VUWTet3slb\n5QdzUwFx08gJ1ksAkF3M3VSx0rpp4YvcTTOvtG565iP+NQNlA7ibXllp3fT1s62XACA+iJvm3Grd\nNP9V6yUguJtmf8W6aek73E1JQ+y2sfANXsvaMwNAAnHT1ydaLwFAeS13U8lmu4z4bvzK9K0p3E21\nJ+imkdP5tpG7m7up5IB100riJQAYMY27aeog66bkfS3nprZ+hkZNAYQQQgghhBBRS8ScoRFCiGhB\nbZuFEEJEEm29bbMOaIQQIkR0DY0QQohIQtfQCCGECAldQyOEECKSaOvX0OiARgghQkRnaIQQQkQS\nOkMTAs65HwG4FMBQAAcALAFwt/d+fYOaDgAeBHAVgA4AFgD4uve+8JgLTx0IdB9x+MffbfsRLbuj\n+A1+//62a8k/5vMuT7W1F9D8pptsfXk571aRm2s7Xmw4NIHWBut007+KdBcJ0hEN2xbxfOjVJupU\nuJyWDswaypfRPtVEfTvn0tLbxi20Yf+ZfLlrnqLx3sF3mayshK933xFz+LLXPWeiHoOv4LV7edeS\nSy4ebsN51/NlTH3ARNOn864zSOCdVi5ot8JkH207ldYuXLiV5rNm2Y5CPStX0dphQ3L4+KrJ+yJz\nMi3tVT7fZBXx59DaW8/4iD9eGnldyvJ4LenaBwALF/Yw2ciRY2ntmB5251xd3bI7bJ2hiSxa000D\newzEiFOOuCmnlrtp8VbrpvNH8E6Pa4O4KZO4iXkJCM1N06cHcVOSdVPZAd71inVEA4BF6xaZ7OoJ\n1ksAsGIbd9PQTOumpATrJQAoKuduqhhg3TTzNO6mpz60brp9kvUSAJSV8fWeM8W66bmPrJcA4Iqx\n3E3rd1k3zbqIeAnA9Y9zNz1wRdPdVN3OumkF8RIAYDd303ziJuYlAMh33E05xE2Vh/h2Pjmbu2nJ\nTuumUV24m+KGWTcNzeCvSV5RHs1X51s3MS8Bwd1U3cc6oKam5bzQ1s/QhNrl7EwAjwKYCGA6gPYA\nXnfONexd9xCACwFcDmAqgEwA/zzxoQohhBAUuUkIIdowIZ2h8d4f9XGHc+4mAIUAxgJY7JxLATAH\nwNXe+3fqam4GsMY5N8F7v6xFRi2EEGEk0E0m9PuI1kFuEkK0dZrjpfr7xQIneg1NKgAPoP7bmsbW\nLfOt+gLv/Trn3FYAkwBIGkKIqMf70E/Tx8g05WhBbhJCtCma46X6+8UCzf5iTeecQ+AU/mLvff3k\nwgwAVd77skblu+p+J4QQUU/9XOVQby2Fc66rc+7/nHOlzrm9zrnHnXOdjnOfns65vzvndjrnyp1z\nnzjnLmuxQUUIcpMQoi3SXC/FiptO5AzNYwCGA5jShFqHwKdlQbnr7nvRpUvK4Z/zth3EuHHnY/x4\nfgG/EEIwnnnmaTz77DNHZWVlpS36GBHQ5ewpAD0BnAMgAcATAP4AIEhXCwDA3wGkAJgFYA+A6wA8\n55wb673/rCUHF2Za1E333nMvUlKOuKlgh9wkhAid1nZThHQ5C5ubmnVA45z7LYCZAM703jdsiVIA\nIME5l9Lok7B0BD4JC8rw025HZuaQwz+/+PIZtO7Tlbx7x+ADNisvP0RrzzuvH81PSdxiss1lWbT2\nklGbbVj0BK19v/JKmi9cWG2y888fyMfWnnfq2rDJdhcZVB5k9kQFb+azK9l2Bum59RVa+1nCTSY7\nvXo7f7wGXesasmxZgclmzOjLl7GXd7T5sPw8kyWu5p1WVq5sR/OvnGOfp20j/0hrEyrsMnpWLaG1\nSErneY+RJsp9fw8tveKKwTQfmGE39P3IobWdgnSZ25h4iV1u9yBjPlRuojdfs+8TABg4hHe08Qm3\nmMzFJ9Ha3703mubf+14vkxUVkTc9gJyci5GTc/FR2eefr8B7702l9c0hnF3OnHNDAcwAMNZ7/2ld\n9i0Arzrnvue9t2+wAJMA3O69/6Tu5/udc3chMB0rJg5oWsNNo0ce7aZ77uFuWkncVFXJlxmKm0oc\nf78lHeRuShpk3fRK3hO0dkKSddPatdZLQHA3JSVYN23dzPfFy7ZxNxWWWTdNyOAdq15Zyd10XsZN\nJquo4m5q2LXu8NiIlwDgvPO4m3J3WzcNbWe9BAC5a5vupvLJ/Dl64IIgbjpkl7G8kLspPcXu50dm\nWS8BwJuvNN1NSd35vrhffA7NWZe5KT2tlwAgvQt3U3klcdOb/L2yNtW6ac6XrJcAIKkDd1PlSusm\n5iUgfG4Kd5ezcLsp5ClndcK4BMDZ3vvG/fs+AVCNwJFZff1gAH0AfBDqYwkhhDBMArC3Xhh1vInA\nmYaJx7jf+wCuqpsS4JxzVyPQvnhRq430JCI3CSFEWAmrm0L9HprHAFwD4GIA+51zPet+Veq9r/Te\nlznn/gTgQefcXgD7ADwC4H11kRFCxAph/h6aDAQ6eB3Ge1/jnCvGsa8HuQrAswic0q8GsB/Apd77\nTS01sHAhNwkh2jrhPkODMLsp1ClntyNwpLWoUX4zgL/V/f8uADUAnkfgCGs+gG+E+DhCCBGxHK+b\nzOuvz8Wbb849Kisvb3w9+tE4534J4O5jPSyAYcdaBI59PcgvAHQBMA0BccwG8A/n3BTv/RfHHFzk\nIzcJIdo0TelyFstuCvV7aI47Rc17fxDAt+puQggRcxzvk7Dp0y/B9OlHzwlft+5z3HLLMS8k/xWA\nvxznoTchcD3IURPLnXPtAHRFkOtBnHMDEPjjfbj3fm1d/Llzbmpd/vXjPG5EIzcJIdo6TTlDE8tu\nOtHvoRFCiDZHa0w5897vQeDTqWPinPsAQKpzbnSDucrnIPAp2IdB7paEwCdkjQdRgxNo3y+EECIy\naK0pZ9Hipog5oLl1ej7GnNrh8M+7ik6ndVlZyTT/yU8Wm+yhhz4hlYCvuJHm9z+4z2QjRuymtf07\nv2yyA5N+Q2tzn1tH81tusZ1WXn2VdE8DUNznbJpnZibaMGUyrd2XdBrNUWG72vyrgLcAnzmzu8ke\nfWwbrf3Wrbxr6oxM+7W0b73FlzFt2iCaTxxLuojsWk5rc5N60BztEkzUuxv/ytzdZbaTzK33VdHa\n/33ALhcA0N5uu9eM591orvkJ7+729FdfM1mnaY/wx0sbSuOS/IM2TOVdeL7YZ9+HAwbsp7X7xv4X\nzROqakxWXMm7FV52maP5/Pn2fXHjl/hz9NLyU022cWMxqWw+4Wzb7L1f65xbAOB/nXN3INAa81EA\nT9d3kXHOZSLwJZJf8d5/DGAtgI0A/uCc+z4CcroUwHQAF7bIwGKU3pPy0X/oETcVheAm5iUguJsK\ny6yb5j5ivQQEd9ObFdZND8zmbnqOuGnOHN6dct487qahxE1pacRLACYncDcNTrNuqiBeAoChVdxN\nI0ZYNz0WxE3X32LdVDuQ7/sXLmy6myq78u5Wy7dwNyURNyXEc3+kdOfjqyq3bnrq19xNP7jfLjs5\nkf9NlTSMu+knxE1ps6yXAOCRa7ibhvaybiopJl4CkNiRuymj1r4Pa4O46dozrJuqiJcAILmm6W5i\nXgKA1NO5m5a3spvC3bY53G7SJ3NCCBF9XIuACN4E8AqAdwHc1uD37QEMRuDTL3jvqwFcAGA3gJcR\naIV5PYAbvPcLTt6whRBCxDBhc1PEnKERQohoIcxdzuC9L8ExvqjMe78FQLtG2UYAX26xQQghhIgY\nIqDLWVjdpAMaIYQIkUA3mdDvI4QQQrQGzfFS/f1iAR3QCCFEiNTWhv6pVnNEI4QQQjSF5nip/n6x\ngA5ohBAiRMI95UwIIYRoSCRMOQsnkXNAkz4KOOVIp5PKYt7h5L77PqD5n347zmS/ua2AP9aGuTT+\n8XV9THaw13hau6/q1yZ7+YUNtPbG8ytpfvfd75mMdWoBgMpK/nycdlo3G+Zup7V/fJJvtN/NseO4\nqON6Wru72K73qFHppBL4bB0f88iRtrNLTk4arV26NJ/mk/rY7iKvruhFay8f+RnNN5TlmKycdQAD\nMDrxFZNNnsy7HW0o4q/hoENrbdiR1/7bvw2k+d3Pp5gscxVfv+98iXdYWvWF7WozdvRgWntqXJ7J\nUlL4F/52drzrEvbZLi7Fxfy1OrXfIZrfeCV5zD1FtHbMmJ4ma99+Jx+bEMdhVO9ROC27gZv2Nd1N\nDzxsvQQAE67hbpq7wrpp3GzrJQDIyeZumkbc9EIQN43IsW764Q+tD4DQ3DRiBPESgMXbuJsWPW/d\nFDeSj2N9KXfTGSG4aesGO2bmJSA0N9X24F2vStbx/V3cALvvTqnKobWb1nI3ra5quptQal/DtZXE\nSwC6JzfdTc8TLwHAb4u4m6qHWTd138m7rV07irspLz7PZEODuKmsxrqpuIh3F4sr4a9VWpZ106zL\n+eOtyuduGiA3tSqRc0AjhBBRQjjbNgshhBCNCXfb5nCjAxohhAgRTTkTQggRSWjKmRBCiJDQGRoh\nhBCRhM7QCCGECAl1ORNCCBFJqMuZEEKIkNCUMyGEEJFEW59yFhfuAQghhBBCCCFEc4mcMzTLHwbK\njrRHvO+Fm2jZn341IMgCyDkzF+R4LYm3cvzDAtuCb9q0MlqbkdHJZNddydtr4u07afyLX/zBZO13\nvk1rP9k9gi/7vXtM9Jfc62jpd7/Whea7Km4zWc+sNbR23jzbljJYS+nbbuHtFj9dUWiyrCzesnHS\nRN5Kc8PGjia7cFqQ86YrV9N4UAZ5zFS+Lthr2zDefOZGXpvCWw/ffPcuk91006m0Ni2NvzX/67Z9\nNtz9Pq39y+cX8XFMt88/DvL3BKrs9p+VNYiWfrriAM1zcxNMNmZMkF3PTr4uH+y2LWrz8mwLTAAY\nPty2oi0rq+KP10x0DU3b4eG3HkbahiNuSvrwJlr3w19aN9V6vk+KC+Km9M72fZi3mLeG3ZrQdDfN\nvoK76c5nrZseI14CgHdzuZtSK6yb7nnRegkABpdyN115s3VTwiHrJQDYXnnibrphjnXTCuIlILib\nxk2wbsrbZL0EAEPP4tvB79+xbkruzx+vuj1fl6Ji66Z+o7mbyjtYNz1yr/USENxNKcRNU68jXgKw\ncjvfn2fssG7qM4k//yUV3E1lB+z2n92Hu2kFcRPzEhDcTcs223VJP8Bbp+cHcVNqK7tJ19AIIYQI\nCU05E0IIEUm09SlnOqARQogQ0RkaIYQQkYTO0AghhAiJQDeZ0O8jhBBCtAbN8VL9/WIBHdAIIUSI\nqG2zEEKISKKtt21WlzMhhBBCCCFE1BIxZ2j+b+sNeKd26OGf/zRnLi9MHMfz0k0268lrfZeBNL+t\n/H9smHkZf7yCxTar5d0q3m7//2i+9SnbrWXw4GG0dvjwVJo/O/9Gk1VVHaS12PQKjZdtPc9kU6fy\nrmo3nk3WuwMfG3Ytp/HoLiUm21Aymdb2SOadswZ1zTfZ5gLeyaf/6G/z8RWtsllims0AoHOWiXZ7\nvh2tXGm7zgDA+efbDjiTJ59Ca3Nz99L8iwMTTXZqbz7mlO28iwvSx5joQK3tjAQA1Um2+1Dnwk9o\nbUbGUJqPztxmsjXF3Wnt5sQcmhcV2ef0mhn8k6gvdjqTtWtHS5uNrqFpO4w4cAOy9h/ZtosveNfK\nwwAAIABJREFU4m5KS7K+2VREvARgXD/upgHd7T7lsb3ESwCS07mbFm2y++iqGu6ma3tbNz1FvAQE\nd1M2cdOoXOslACgJ4qZXVlo3Ze2zXgKCu6lkgl3v1CTupuVbrJtK2lkvAUByEDfFdbRuqkyyXgKA\nst3cTd8+x7pp1Q7iJQBpnfh+PqurdVNGQtPdxLwEhOamfrXWSwCQNoSPOf8A6XzZ13oJABLA3TQ4\nzbpp+Vbupkzipto06yUAqKrgbhrZJcdkq7Zx14/K4fv62uLWdZOuoRFCCBES6nImhBAiklCXMyGE\nECGhMzRCCCEiCZ2hEUIIERI6QyOEECKS0BkaIYQQIaEuZ0IIISIJdTkTQgghhBBCiCglYs7QJCa2\nQ1JSg+H0zuGFCck8P0g6lCSk0NLCwgqa92TduoIsAx1JJ4yPHqClZ5/Ox7x7xJkm61H1Ka2tSe5F\n86Sk9iY744xMWou+I2k8ONF2LelSu5XWvrdliMkGDOCdZOLibEcPAJj3tu38c8vAX9Dancn30bxX\nkn1O09OTaC0qeecZpJDOM9vf5bUk75E9m5ZWVGTTfMyYniZrX7GF1g7rXsbHkWw72qDjGbT08n4P\n8WVUX20X8cYNtPSLQX8y2anpfLfR692L+eNdPt9Elfm8i1tFRTXNMzJsp5tdh/h74tQDvzPZwYPb\n+diaSbivoXHO3QPgQgCjABz03gdpz2fuNwzAfwI4C4H9/xcALvfet+wTFEM0dtPIITm0LjnR7pNK\nKnjnrJTEprspWKeuYMvonmzd9MAC7qbbz7Jjnkm8BADrS7mbkombmJeA4G7q08e6af16vo8oPMjd\nlFBk3ZQRzE0J1k3z3uEd6RZ25m76HnFTcgfu+vRU7qai/dZNfbrxjmjvruduYvns0dxNVcRNzEsA\nsL2Uu6kq2bqJdVoDgOGduJse2mTdVFFlvQQAN/ydu+k/zrZuik/hbrr+Keum+XdaLwHAqpVNdxPz\nEgCkxXE3PbnDuml7YcvteiPhGppwuklnaIQQIkTq5yqHemtB2gN4DoA1ZBCccwMBvAdgNYCpAE4D\n8HMAlS05MCGEECef5nopVtwUMWdohBAiWgj3GRrv/c8AwDnHv/CD8wsAr3rvf9Qg29xigxJCCBE2\nIuEMTTjdpDM0QggRIhHwKVhIOOccAtMANjjn5jvndjnnljrnLgnboIQQQrQYEXKGJiRa0k06oBFC\niNgnHUAygLsBzANwLoAXAbzgnOMXTQghhBCtS4u5SVPOhBAiRALtMUO/z7Fwzv0SgZ16MDyAYd77\n9aE9MoAjH17N9d4/Uvf/lc65yQBuR2D+shBCiCilOV6qv9+xiBY3RcwBzUUXDcTo0SMO/7yr5CCt\nW7u4kOZndc2zYSnvWrJi5wyaz+hWYMNnp9LadePfMFlJxmO0dmTPHjTvUbHOZLviR9PanqV8O7lo\nBukac6ic1sLzjhx9+pBuOR06B6k9YLL164tp7bhxGTS/5TrSESWed5LptZTnGDDLRIs+5adNi4v5\ndWUDBnQxWW0t/0Cgtv0UkxV8uJ/WXnUx7z70swfWmGzkSL5tXHp2kM545R1NVryVd2UZEp9Ic2xd\naKK3uzzKSz/eZbJT0x+ktRtGPU/zuM32eZo/n0+P/dGdA2i+r5q9VkFOk2dMsNlue/8Twftj9/tf\nvnw+Pv10wVHZgQNB3pdH+BWAvxynhu/Ujk8RgGoAjTfCNQC+1Mxltgkau6kkiJuWvm/dlBeXR2s3\n7eYvY79K66YCR7wEYOoD3E1PXWnd9MOxQdw0wO5/Nu21XgKA7M7cTbm7rZtyzuXdzMoP8vdALXET\n9RKA+ATupoQTdNNl1/BOXde25w76xSs2nzXSegkAVn/YdDcxLwFAVhA3Xd2buGkVd9O0mfY5fexB\n6yUguJtGTrFuqj1gvQQA63dwNyW2t25auNZ6CQDuPJW76WPipoU13E2/v9i6aWsef46Cuemr37Ru\nSgR/rYK5YUJ/66YuFS3npuN5CYhtN0XMAY0QQkQLx5t3PGrUDIwadfQfp9u3r8VDD30l6H2893sA\n7GmpMTZa9iHn3EcAGve2HQyA92cVQggRNTTlephYdpMOaIQQIkSacyFlS1546ZzrDSANQF8A7Zxz\np9f9Ktd7v7+uZi2Au733L9X97r8BPOOcew/A2wAuADALgb7/QgghopjmXuAfK27SAY0QQoRIuNs2\nA7gPQMNvnFte9+/ZAOq/aW8QcGROhPd+rnPudgD3AHgYwDoAl3nvP2jJgQkhhDj5RELbZoTRTTqg\nEUKIKMN7fzOAm49T045kTwB4onVGJYQQoi0TTjfpgEYIIUIk3FPOhBBCiIZEwpSzcBIxBzQJNcXo\nUH2kS0x+vjmAAwCcNSmV5i++mmOyS8/gHU7G9EoPMojLbNZjJC0dUmk7ybxTOZnWLl9uu3EAQH6+\nffq/fBbvMLPHD6V5yTbbcWcgPqa1HxWPp/mqVUUmu3ns+7Q2vtt1Jhs+vDutjYtzNEfxWhP95tkE\nWjp06FdpfkEP+xpOm9aB1nZEKR/HvGttdslcWrpzt+1reFba63y5HW6g8b3X2u1gRxLfvtB+H417\ndLbvi9xc3sVtQ/eraZ6d3dVkc3/PO8x8+9tjbNjzP2htwae8a0xRke0+NGfOabT2k9V8vTMyqkyW\nn887s4zvxXpQtuwOuyndZNh9RPRRerAYxZVH3FQQxE1jJlo3Fb+WQ2szR3E3DUi2+7XBjngJwMgs\nvu9YUWbdlBGCm5iXACB7IndTn07WTYU7eCe41eXcTRlV1k3MSwBQNYC7aVb2iblp7U7rJQBY+jJ3\n0xTippFZ/G+LuEzupooa66ZrHydeAjD3G9xNJUV2f5fbjrspNcm6aeTF/O+TCel8+4pLsPvolE78\nPRHMTdNPsW5iXgKAO+9supumd+Nu2vS5dRPzEhDcTVvX2/VmXgKCu6m2i32tWnK6V3O8VH+/WCBi\nDmiEECJa0BkaIYQQkYTO0AghhAgJHdAIIYSIJHRAI4QQIiQioMuZEEIIcZgI6XIWNuLCPQAhhBBC\nCCGEaC46QyOEECGiKWdCCCEiCU05E0IIERKaciaEECKSaOtTziLogCYOcEdmwPXp05mXxfMhX3oW\nadWaPJzW9vjw53zZ/Wea6MXl/fjjZdr2k2eNncKXu+YpGr+fadszfr6rG62trOSth0tKSNvmM0bR\n2vT4JJrffD5pt5tsnwsAOCWetON0fObibt6BF2XOtoO84grWahdISgqyie7PN1F8p/609NXX+XOX\nPeJpkw0Jsi4VFWS9h19Pa//69/U0v3G2fV1O2fUarf0o/0yajz/dtoksKODtkisrq2m+cuVukz38\nq4m09tyZ80z2xsvTaG1h4R6aT558iskqKg7R2hUrCmmenm633eTk9rT2YA/7Pqzqyrf95lJbG7iF\neh8RfcS5OMQ1wU2J7e2+avgk/qJnpnI3/cc866aZp/F9cfm6fjTf1MG6acpk7qanPrRumky8BADx\npdxNm3bZ/SvzEgCMGsvdVLvPvj+H5/D9WmYX/nwkJtjHjIsLsj8ni+4XpIV+VghuKiizXgKAPqnc\nTUsX2ufukQuslwActQ02hLnp+jO4m5560rpp6oX8NVmSx93Uz1s3JZ/G2xeH4ibmJQD4jwe4m2bP\nsm565sWmu4l5CQjNTcxLQHA3TR5p34cdilvOTc3xUv39YoEIOqARQojoICCOUKectdJghBBCtHma\n46X6+8UCOqARQogQ0ZQzIYQQkURbn3KmLmdCCCGEEEKIqEVnaIQQIkTU5UwIIUQkoS5nQgghQkJT\nzoQQQkQSbX3KWcgHNM65MwF8H8BYAL0AzPbev9yo5j4AXwWQCuB9AHd473OPueDyfKA05fCP3fKX\n8Lq4WTwvXG6i3z17gJbeMbkPzXd3GGuyS7P+h9b6cT8y2X338THf+62Laf6lzqkm++fLO2jt5Tm8\n8wYS02xWVU5L+3YP8nLHDzXRmk28Q9aw7ESTlVbw5fZwvNvXJ/npJhvbcy2tPZjMu/PsLM4wWe3+\nClp7Yf/3aV6acaUNi/k4li3rYLJ+/YbQ2huvtGMDAGx82WYHS2jpokXbaD5y5BiTXXo+2QYA4ADv\nGPbqB3ZddhbxRbyxYLbJLrrkFVqbmNiO5pdf1MuGG/kybrqJd1hqV11msr0Vdj0AoLraXuFYU9Oy\nO2ydoYksWs1LAPJL85Gy54ibluTy/fys062blm+1XgKAhS9yN/UZZt00NNV6CQCeSOJu+uF5TXfT\n1bdZN2V1tV4CgPmvcDcNnWTdlDWY75PKD3I3JadahwxNsF4CgPw87qa0AdZN1ZXcTQVV1k1VBdZL\nAFDemTvhjHTSTZF4CQAKC7mbitOsmzKYlwCs3cnHsToEN8263I7v5c+IlwCUVHA35a2wbmJeAoCp\n5/LtoHCfdVPFcr4/LyumMebNt266bHbT3XTehcRLABZ+1nQ3lVdZLwFAbWV43NTWz9A05xqaTgBW\nAPgGAPMsOOfuBvBNALcBmABgP4AFzrmEExinEEJEDPXdZEK7hXvUMY28JIRo0zTPS7HjppDP0Hjv\n5wOYDwDOOUdKvgPg5977f9XV3ABgF4DZAJ5r/lCFEEIIi7wkhBBtmxbtcuac6w8gA8Bb9Zn3vgzA\nhwAmteRjCSFEuKifqxzKLVbmKUcb8pIQoi3QHC/FkptauilABgKn+3c1ynfV/U4IIaIeXUMTVchL\nQoiYp61fQ3Oyupw5kHnNDbnr3ofQJSX5SFC5F9fMGI1rzucXmwkhBOO5557B888/e1RWWsov3mwu\n6nIWExzXSwDw0C8eQnLnI27au38vRp89GmPOlpuEEE2ntd2kLmctSwECkuiJoz8NSwfw6bHuGNfx\nerTrNPDwzym9OmD+emB+o2Ykf71zPl9Az3EmuuPmvrz27d/QuMdQ0mFpIO9Q5qr3m+ze7/SktS+9\nwzeWS/o/abLLhwS5RjU+h+e5c23m+RVer+2cSfPqatuB5aJzkkklsLfcdgvp2qmKj62Gb16ZmXbZ\nn+TzjjbYxdtvVVXVmGzSqPa0dl/KVTQvLLCvYZfevAPegAGVJlu5cjetHT2Mj+Pt3eeY7OyhO2nt\n97/Zj+ao3Gqi//cr3n3o51/jnfEyMoabrFdiPn+8uGwT3XPPRFo6YADvjvSt735gskfv593r2u3b\nxMdxyHZH6rpzKS0dMeISjBhx7lHZ2rUr8f77M/iym4HO0EQVzfYSAKQmXY/UzkfcNOCUDsAOYEWj\n3Xd8O+umcX2tlwBg6I3cTXc+Y9107UTe+e/i07mbKqrsfu36r3M3rVpit8lFqdZLAJCQwd2UlJBj\nsrmfEi8BqA3ipgGV1k3MSwAw4SzupqoK66b4jtxN8aQzZ3fiJQDID+KmVausm5iXACB7BHfC7BHW\nTQXESwDQ5xTupsoQ3NRviB1HvyrrJQBIyuZuGnBGP5Pl77NeAoA/P8zdNO066ybmJQAob8fdlHGC\nbrrn+9ZLAPC9n3I35RVbN5VX8q59SzdxN41pZTe19TM0LXoNjfd+MwLyOPwOcc6lAJgIIEgfZiGE\niC4C3WRCv4mTj7wkhGgLNNdLseKm5nwPTScA2Qh84gUAA5xzpwMo9t5vA/AQgJ8453IB5AH4OYDt\nAF5qkRELIYQQDZCXhBCibdOcMzTjEDhN/wkC849/DWA5gJ8BgPf+AQCPAvgDAl1kOgK4wHsfZF6S\nEEJEF96H3u+/paYpO+f6Ouced85tcs5VOOc2OOd+6pzj81r4Ml5zztU65/i8pehDXhJCtGma46VY\nclNzvofmHRznQMh7/1MAPw112UIIEQ2E+RqaoQicibgVwEYAIwA8DiAJwA+Od2fn3F0AatCEC+Kj\nBXlJCNHWiYBraMLqppPV5UwIIWKGcB7QeO8XAFjQIMpzzv0KwO04jjTqpmHdCWA8AteVCCGEiAHC\nfUATbjdFzAHNVVcNxaBBpx3+eeTI7rRuwfJhNI8rsl8Ofe4pr9Da/VMfp3mnQ4Um23WoN63tuf4f\nNizfTmsvmXolzZH6VZuV8W4he2t70Xx1uT0rl5TEz+5dMIh39djT9TyT1XRIpLVdC1+3YTzvToL2\nvGvM3Gc3mOyOc2wGAOg+gucd7fbxp6f4e6C6mndJmTlzgA2DdNkaM+Y0k1VWVvOxrXqUxsXFF5ls\nY8UQWltbzncwmZlZJsvLW0Nrf/lkN5rPmmW7Ab3xMe9gVF6eSx6Pt5lk3esA4NFbyXO69Blau2fs\nIzRfvsK+N8/NuZ7Wpm21HXRSUjrQ2uYSgW2bUwEUH6vAOdcRwFMAvuG9L3TO7jOFpaluWk7cVL6J\nP8evFHI3PXaVdVPJQbvtA0Cq4256/hPrpu17uZuunGTdNKs78RKArcXcTantrJtGtuezRYK5aauz\nbprS23oJAFI7cTe9uda6aXgv7qbkDnZfxbwEAN3H83zEKdZNfZL5tvHyc013E/USgK17TtxNf1xs\n3dRvn/USAPTpw91UUmD3Y8xLQHA3LX3Ruol5CQDyPuNuWnWCbhp5JX8+f/Eqd9N/XmjdtGktf29e\nP5W7qWB767opQts2nzQ3RcwBjRBCRAuR1LbZOZcN4JsA/u04pb8BsNh7z/+aFkIIEbWE+wxNY062\nm3RAI4QQLcyWLe9gy5Z3j8oOHeLfL1GPc+6XAO4+RokHMMx7f/jbuZxzpwB4DcCz3vs/H2PZFwOY\nBmDUcQcvhBAiJollN+mARgghQqS+m0wweveeit69px6V7d27EW+8cdexFvsrAH85zkMfnifhnMsE\nsBCBT7ZuO879zgYwAEBpo9P5Lzjn3vXeTzvO/YUQQkQwx/MSENtu0gGNEEKESGtMOfPe7wGwpynL\nqvv0ayGAjwDMacJdfgngfxtlqwB8B4CmoAkhRJTTWlPOosVNOqARQogQCec1NM65XgAWIfAFkT8A\nkF7/yZb3flddTSaAtwB8xXv/sfe+EEBho+UAwDbv/ZYWGZgQQoiwEe5raMLtpog5oKmoqEZ5+ZHv\nOOux721aN6NnHs0/OHCpyda4mbR2aJBOK795yHYiueuy1bR2X59rTNb50EZai3jelQUHikzkU/rT\n0q7rnqb55Ml2HB9/zDuq/PgvaTT/2tds543qar6Blxwcb7Ih8TW0Fon88WbPJvl+vt3WdBlK8+ee\nW2eyW87mXXhQXcHzlBQT7YvjXfQ6r2n8AQKAYbfS2vcOXEXzPn3s26283D73AHB6Fu+eciDOdp75\n+8N8m8Ehvt6/e8F2PLrjhp58GbAdZv77sRJaWVjIH6/vmBtseBr/4Capkm935w7Ls+EBWoq5c3eb\nbPv2bby4mYS5y9l5CJyiHwCgfsUcAvOY61sFtQcwGIH+/0GH1FIDimUau2nZTu6mvIQ8k41JtF4C\ngHGp3E2sC9gfiZcAYMQM7qbLTrNO2F7O3ZRI3FRUbr0EAP268f3MMx9ZN11NvAQEd9OyudYJo4iX\ngOBu6hdv3ZTYnrsprZN9POolAMt2cTcNTrduYl4CgIzx3E0VVXafWd3RegkABnTgbvrzEuumOZO5\nmyZ0tG5K7Mr/DAzmpvge1k1xxEsAcM8DfJth6714Hu/EN/vaprsp949Nd9MNk4iXAMz5EndT1UG7\n3SX0zaO1ReU0bnU3RUCXs7C6KWIOaIQQQhwf7/1fAfz1ODVbcEQgwWqO+XshhBCiqYTbTTqgEUKI\nEImkts1CCCFEuKechRsd0AghRIgEusmEfh8hhBCiNWiOl+rvFwvogEYIIUKktjb0T7WaIxohhBCi\nKTTHS/X3iwV0QCOEECGiKWdCCCEiCU05E0IIERJh7nImhBBCHEUEdDkLKxFzQNOzZxKysjofCXpN\n4IWenxubNKyTyX7zWC6tHZawhOZ33TrGZBt2DqC1g/bY1p0f7hpJaycOraT5nqruJuvW4SCtfXHN\nOJpfmvSWycaPGEVrxw+0jwcAG/fa57RnxTu0tmffM0gaZDOq4K2HFy8uM9mXx/JltKvgrRzHjbOt\nHD8t5W03lyzZQfNvzFhpskVr+PZ10dB0k7V3/LXq168LzXu3X2uyXe5UWotVT/B8wi9N9K/3bftK\nAJgyhbfMPO88uz1uLnSkEui//wWTjRiRQ2uzs1NpTtk8n8YL1/DWpKtX2w6P3790Ba397o32Pbv8\ns/Z46KGmD0+Iehq7qU9/7qZa4qbhg62XAODPv+duyq2ybrryZuslAKjYzd20ZKt1U2o5d1PiQLsv\nSDrEPVFVw/d3iTusmxZ2tl4CgFHDuJuuz7KPWV3B98XLd3M3nTGg6W4q3GfdxLwEAElD+DLyS62b\nmJcAoLw8iJs+tG5aGW+9BABx2/jzkZ5l3VSNprupoMZ6CQAyOnI3/eq9J0x234XWSwCQ+3HT3ZRK\nvAQAlcXcTYvyW8dN81dxN2GbdRPzEgCUnMvddN7V9j27+vP2gNzUIkTMAY0QQkQLmnImhBAiktCU\nMyGEECGhKWdCCCEiCU05E0IIERLqciaEECKSUJczIYQQIaEpZ0IIISIJTTkTQggREppyJoQQIpLQ\nlLMI5VB8N5ov3no6zc/ub7tNXH8975iEiuImj2NQyib+i4P2qUtLS+S1HZNp3K1wmQ1rUmjtpYN4\n14wv9l1kslO78G4t2/Zn0TyBNCLZWDWJ1g6s2GnDeN7pY8EH/E1SXW3zg6ecT2s7FC2l+aD8uTbs\nnUNrs284l+YotF1qZs0aSEvfXtTeZKvmr6G135pdSvMPNg8x2aQlvAsSruXr3XHF/SZLSZlDa7t2\n7cDzrX+xYTrvpPRZ2SyTXXAWPz/tO/Lt/38ft117bj2fbzMXTuMd4iZMyDDZmiLe5SmtpqPJ9tTy\n94QQoZKayN2UXGzdlJTAt/Ngblqxu+luKkvgboqvbrqbuidbNy3fSrwEIGU/d1NJunXT4FrrJQAo\nq+Tvw+Rq4ibeIAuDwd1UUGrdFOz5X/uxdRDzEgBMH8Ld9PE2u4+e+xnxEoCcwTk0v4G4adEm3tkz\nmJsWETc9/nvuphHnWjcl7rVeAoCMP3M3Lb3HrvcDb1ovAUBOEDelplo3PfMZ8RKAMX25m8YkWzdl\nnMbdlNrZbv+PEy8BQPaZfJsZeZZ1E/MSABQFc1O8dVNBO7mppYjYAxohhIhUNOVMCCFEJKEpZ0II\nIUJCU86EEEJEEppyJoQQIiQC3WRCv48QQgjRGjTHS/X3iwV0QCOEECGits1CCCEiCbVtFkIIERKa\nciaEECKS0JSzCCE1tQO6d7cdIBozZkxPmpfus4eYKSm8y9Pvnu9B81mzbBeXykre8YIxaFAq/8We\n1Tzv3MdEry3hpRMmXE3zUztVmuyTL/iYxw7h3TQ27rLdTAZmOVp7oHaQyTpWk85nAGZM5eN46fVq\nk61fv5fWZmbyDieLS+x2cEn2LlrbueJzmiMxzUSLFm2lpWcP2myykSMn0NqXFu+g+SVjN9jw+o9p\n7RdFfWmePeYnJjtr73Jaiz1BuqeMsJ1n9lfG8drCEhPt2Mu738SV7qd5Zibp8teFdzNb8O4+mmdl\n2R3uqf1raC2KPjBRtyry3AvRBE7ETRXl/KPPYG7KJW4aSrwEAClVfP+aQqyenc3dtHqndVOfNOsl\nAFj7EY1xMXFTXEfrJQDYtIaPOWOg3VdV7uH7me6Z3E0JsG4qOsDdNO5LdhyL37JeAoK7aShx05T2\n/O+T1CTupvXF1k1pnayXgOBuijvFuunaIG5aTNwUN4zvGz/+CXdTYrl10w/Ps14CgJU7uZtW77Sv\n95wpvCNa9UHuptwy66bqfXybKdhv3US9BGBAD+6mj9+3bmJeAoDuvbmbVu2wbtpYJje1FBFzQCOE\nENGCupwJIYSIJNTlTAghREjogEYIIUQkoQMaIYQQIaFraIQQQkQSuoZGCCFESKjLmRBCiEiirXc5\nC3IlsBBCiEjFOfeSc26Lc+6Acy7fOfc351yvY9R3dc494pxb65zbX3ffh51z/IpzIYQQIkTC6aaI\nOUPTtWsi0tOPdB55/PGVtK6ignci+e6NtmvMbT/gHU7+8JP2fBBx5DG7daelb3ySaLJBmbyzS9Au\nZwNmmSgri3eKevPNLTSfNWugycaexsex/5AdMwCsWmWXnZ7OO928/vomk10+sxut/WDFQZpfMtF2\njanpYdcDAD7+uIAv40zbReTHv+YfM9z/A941Bl36mah4Ke848uJHmSabOpUvdurULP6LRNs9ZUcx\n756UkHCI5qzjTnb2aFob7Lk74wy7/XfKf5HWnj5oisn2HGhHa7uVL6b5tGlnk5R3DpoxjL/vkWG7\n9uzcwz+PqawZZ7IdtS27q4uAKWcLAdwPYCeAUwD8GsA/ANgXLEAmgF4A/g3AGgB9AfyhLruyJQcW\na5yIm867mncz+20QN119l31vbj3IH697Z+6mrZ/b/XxyOnfC6nzrplmnWy8BQHkIbmJeAoDBp/Jx\nxNXYMb9JvAQA04K4aR5xU84M7qb1n1s3ZZ7O90nDezfdTUMn8u5Wf3uUu+mrd1k39evWj9a+8Bl3\nU1yJdRNCcFN1PO/qVVXG3VRB3BSsE9yIENwU14P/XTZ/HXfTlGy7q4s/xN20fJd1E/cSUF7N1yW+\nj30f9unPu8mV7+VuGpBo3VSR0HJuipApZ2FzU8Qc0AghRLQQ7qYA3vuHG/y4zTn3nwBedM61896b\nv6q8918A+HKDaLNz7scA/u6ci/Pex8ikAyGEaJtEQlOAcLpJBzRCCBEi4T6gaYhzLg3AdQDeZ8I4\nBqkAynQwI4QQ0U8kHNA05GS7SdfQCCFEiNSf2g/l1tKdZJxz/+mcKwdQBKA3gNkh3Lc7gJ8gcGpf\nCCFElNMcL8WSm3RAI4QQIRLoJhP67Vg4537pnKs9xq3GOTe4wV0eADAKwLkAagD8vSljd851BvAq\ngFUAftac9RdCCBFZNNdLseImTTkTQogWprx8GfbvX3ZUVlt74Hh3+xWAvxyn5vCVz96in5O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"text/plain": "<matplotlib.figure.Figure at 0x10ea50668>"
},
"output_type": "display_data",
"metadata": {}
}
]
}
],
"metadata": {
"anaconda-cloud": {},
"language_info": {
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"name": "python",
"mimetype": "text/x-python",
"version": "3.5.2"
},
"kernelspec": {
"name": "python3",
"display_name": "Python [default]",
"language": "python"
},
"gist": {
"id": "",
"data": {
"description": "Create and register a divergent colormap.",
"public": true
}
},
"toc": {
"toc_threshold": 6,
"toc_number_sections": true,
"toc_cell": false,
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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