Removed gray background from 538 style.

white background renders better on cheap LCDs, and it will print better as well.

02_Discrete_Bayes/discrete_bayes_animations.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:11f30a7baee4cbae7a0eecac272e77e8b4d31b1f2536db69aebf87e33b7a7458"
+  "signature": "sha256:f7617d896ab55b01e8388aebbb8383939bbad41d33a202d0a073d2fca46d8ec8"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -252,7 +252,7 @@
        "output_type": "pyout",
        "prompt_number": 1,
        "text": [
-        "<IPython.core.display.HTML at 0x7f7d7f3b0f60>"
+        "<IPython.core.display.HTML at 0x7fcd7be3ff60>"
        ]
       }
      ],
@@ -351,9 +351,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAACsCAYAAAAJ+rmKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAADS9JREFUeJzt3X+s3Xddx/Hna7dMKYw7YXFId7ehVNyiuF+UBeSHWKWb\nblNinJVJRAMzWpwx6oA/8A8TCX8QCRkuY27LUFgNA7SLcyNzE4fgXMd+sta0g7G2g8mvXcIPTcve\n/nG+Ww53t/ece3tuv6cfno+k6fl+v5+e+8q995zX+Xx/NVWFJEmtOarvAJIkrQYLTpLUJAtOktQk\nC06S1CQLTpLUJAtOktSkkQWX5OokjyW5f4kx70uyK8m9SU6fbERJkpZvnBncNcCmg21Mci7woqpa\nD7wFuHxC2SRJWrGRBVdVtwPfWGLI+cC13dg7gGOTHD+ZeJIkrcyaCTzHOmDP0PJe4ATgsSdXzM/P\ne7sUSdKqmZ2dzcJ1kzrJZOETW2iSpF5NouD2AXNDyyd06yRJ6s0kCm4b8EaAJGcDj1fVY0v/E0mS\nVtfIY3BJrgNeDRyXZA/wF8AzAKrqiqq6Mcm5SXYD3wbetJqBJUkaRw7Hf5fjSSaSpNW0mieZSJI0\nVSw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMs\nOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSk0YWXJJNSXYm2ZXk0kW2H5fkpiT3JHkg\nye+sSlJJkpZhyYJLMgNcBmwCTgU2JzllwbAtwN1VdRrwGuA9SdasQlZJksY2aga3AdhdVQ9X1X5g\nK3DBgjFfAp7TPX4O8LWqOjDZmJIkLc+omdY6YM/Q8l7gZQvGXAncmuRR4BjgNyYXT5KklRk1g6sx\nnuMdwD1V9QLgNOD9SY455GSSJB2CUQW3D5gbWp5jMIsb9nLgIwBV9RDwBeDFkwooSdJKjCq47cD6\nJCcnORq4ENi2YMxOYCNAkuMZlNvnJx1UkqTlWPIYXFUdSLIFuBmYAa6qqh1JLu62XwH8FXBNknsZ\nFOafV9XXVzm3JElLStU4h9kOzfz8/Op/EUnSD6zZ2dksXOedTCRJTbLgJElNsuAkSU2y4CRJTbLg\nJElNsuAkSU2y4CRJTbLgJElNsuAkSU2y4CRJTbLgJElNsuAkSU2y4CRJTbLgJElNsuAkSU2y4CRJ\nTbLgJElNsuAkSU2y4CRJTRpZcEk2JdmZZFeSSw8y5jVJ7k7yQJJ/m3hKSZKWac1SG5PMAJcBG4F9\nwJ1JtlXVjqExxwLvB15XVXuTHLeagSVJGseoGdwGYHdVPVxV+4GtwAULxvwW8NGq2gtQVV+dfExJ\nkpZnVMGtA/YMLe/t1g1bDzw3yW1Jtif57UkGlCRpJZbcRQnUGM/xDOAM4BeAtcBnkvxnVe061HCS\nJK3UqILbB8wNLc8xmMUN2wN8taq+C3w3yb8DPwtYcJKk3ozaRbkdWJ/k5CRHAxcC2xaM+Sfg55LM\nJFkLvAx4cPJRJUka35IzuKo6kGQLcDMwA1xVVTuSXNxtv6Kqdia5CbgPeAK4sqosOElSr1I1zmG2\nQzM/P7/6X0SS9ANrdnY2C9d5JxNJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElS\nkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpNG\nFlySTUl2JtmV5NIlxr00yYEkr59sREmSlm/JgksyA1wGbAJOBTYnOeUg494N3ARkFXJKkrQso2Zw\nG4DdVfVwVe0HtgIXLDLurcD1wFcmnE+SpBUZVXDrgD1Dy3u7dU9Jso5B6V3eraqJpZMkaYVGFdw4\nZfVe4G1VVQx2T7qLUpLUuzUjtu8D5oaW5xjM4oadCWxNAnAccE6S/VW1bWIpJUlaplEFtx1Yn+Rk\n4FHgQmDz8ICq+vEnHye5BrjBcpMk9W3JgquqA0m2ADcDM8BVVbUjycXd9isOQ0ZJkpYtg0Nnq2t+\nft4TTyRJq2Z2dvZp5394JxNJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4\nSVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpPGKrgk\nm5LsTLIryaWLbH9DknuT3JfkP5K8ZPJRJUka38iCSzIDXAZsAk4FNic5ZcGwzwOvqqqXAH8JfGDS\nQSVJWo5xZnAbgN1V9XBV7Qe2AhcMD6iqz1TVfLd4B3DCZGNKkrQ84xTcOmDP0PLebt3B/B5w46GE\nkiTpUK0ZY0yN+2RJfh74XeAVK04kSdIEjFNw+4C5oeU5BrO479OdWHIlsKmqvjGZeJIkrcw4uyi3\nA+uTnJzkaOBCYNvwgCQnAh8DLqqq3ZOPKUnS8oycwVXVgSRbgJuBGeCqqtqR5OJu+xXAO4EfAS5P\nArC/qjasXmxJkpaWqrEPsa3Y/Pz86n8RSdIPrNnZ2Sxc551MJElNsuAkSU2y4CRJTbLgJElNsuAk\nSU2y4CRJTbLgJElNsuAkSU0a516UE3X77TOH+0s+5cQTn+Ckkw5+zfkXvxgeeaS/zh+VT5IOp77f\nE+HQ3hcPe8Gdd96zD/eXfMoNN3yLk0763kG3P/LIUVOd70j4ZTPjaOO8YKc9Y9/5wIyTMCpf3++J\nMPp9cSmHveC0ckfCL5sZRxvnBTvtGfvOB2achEMpjyOBx+AkSU2y4CRJTbLgJElNsuAkSU2y4CRJ\nTbLgJElNsuAkSU2y4CRJTRpZcEk2JdmZZFeSSw8y5n3d9nuTnD75mJIkLc+SBZdkBrgM2AScCmxO\ncsqCMecCL6qq9cBbgMtXKaskSWMbNYPbAOyuqoeraj+wFbhgwZjzgWsBquoO4Ngkx088qSRJy5Cq\ng99oM8mvA6+rqjd3yxcBL6uqtw6NuQF4V1V9ulu+Bbi0qu56csz8/Ly3yJckrZrZ2dksXDdqBjdu\nMS18YgtNktSrUQW3D5gbWp4D9o4Yc0K3TpKk3oz673K2A+uTnAw8ClwIbF4wZhuwBdia5Gzg8ap6\nbHjAYlNHSZJW05IFV1UHkmwBbgZmgKuqakeSi7vtV1TVjUnOTbIb+DbwplVPLUnSCEueZCJJ0pHq\niLiTyTgXm/cpydVJHktyf99ZFpNkLsltST6X5IEkf9R3poWS/HCSO5Lck+TBJO/qO9Nikswkubs7\ne3jqJHk4yX1dxv/qO89ikhyb5PokO7qf9dl9ZxqW5MXd9+/JP/PT9ppJ8vbu9Xx/kg8n+aG+My2U\n5JIu3wNJLuklw7TP4LqLzf8b2Mjg5JU7gc1VtaPXYEOSvBL4FvDBqvqZvvMslOT5wPOr6p4kzwbu\nAn51mr6HAEnWVtV3kqwBPgX8aVV9qu9cw5L8CXAmcExVnd93noWSfAE4s6q+3neWg0lyLfDJqrq6\n+1k/q6rm+861mCRHMXjf2VBVe/rOA9CdE3ErcEpV/V+SfwBurKprew02JMlPA9cBLwX2AzcBv19V\nDx3OHEfCDG6ci817VVW3A9/oO8fBVNWXq+qe7vG3gB3AC/pN9XRV9Z3u4dEMjvlO1Zt0khOAc4G/\n5emXxkyTqc2WZBZ4ZVVdDYPj/NNabp2NwEPTUm6dbzIojbXdB4S1TN+Z6z8F3FFV/1tV3wM+Cbz+\ncIc4EgpuHTD8y7W3W6cV6D79nQ7c0W+Sp0tyVJJ7gMeA26rqwb4zLfDXwJ8BT/QdZAkF3JJke5I3\n9x1mES8EvpLkmiSfTXJlkrV9h1rCbwIf7jvEsG52/h7gEQZntz9eVbf0m+ppHgBemeS53c/3lxlc\nQnZYHQkFN937UI8g3e7J64FLupncVKmqJ6rqNAYvhFcleU3PkZ6S5FeA/6mqu5niGRLwiqo6HTgH\n+MNu9/k0WQOcAfxNVZ3B4Mzrt/UbaXFJjgbOAz7Sd5ZhSX4C+GPgZAZ7Yp6d5A29hlqgqnYC7wY+\nAfwLcDc9fDA8EgpunIvNNUKSZwAfBf6+qv6x7zxL6XZZ/TNwVt9ZhrwcOL87xnUd8NokH+w509NU\n1Ze6v78CfJzBLv5pshfYW1V3dsvXMyi8aXQOcFf3vZwmZwGfrqqvVdUB4GMMfj+nSlVdXVVnVdWr\ngccZnEtxWB0JBffUxebdJ6oLGVxcrjElCXAV8GBVvbfvPItJclySY7vHzwR+kcGnvqlQVe+oqrmq\neiGD3Va3VtUb+841LMnaJMd0j58F/BIwVWf2VtWXgT1JfrJbtRH4XI+RlrKZwYeZabMTODvJM7vX\n9kZg2nbnk+RHu79PBH6NHnb1jrqTSe8OdrF5z7G+T5LrgFcDz0uyB3hnVV3Tc6xhrwAuAu5L8mRp\nvL2qbuox00I/BlzbnbV2FPB3VfWvPWdayjTuOj8e+PjgPY81wIeq6hP9RlrUW4EPdR9YH2IKbw7R\nfUDYCEzdccyqurfbe7CdwW6/zwIf6DfVoq5P8jwGJ8T8QVV983AHmPrLBCRJWokjYRelJEnLZsFJ\nkppkwUmSmmTBSZKaZMFJkppkwUmSmmTBSZKa9P+V5r2FxShOoQAAAABJRU5ErkJggg==\n",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAACsCAYAAAAJ+rmKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nOElSkyw4SVKTLDhJUpMsOElSk/4Po5u82b9IDysAAAAASUVORK5CYII=\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x7f7d5eabb898>"
+        "<matplotlib.figure.Figure at 0x7fcd7be57518>"
        ]
       }
      ],
@@ -394,7 +394,17 @@
      ],
      "language": "python",
      "metadata": {},
-     "outputs": []
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAACsCAYAAAAJ+rmKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAADXJJREFUeJzt3X2QXXddx/H3pwm1BMpW6FgkXSYokZRRbHlIOyAPSpSk\naquMY41UxypYR4M4jlrgD/zDGRn+YGSYYifUtlMUGocCGsYmZRBEEKwN9IHSrJMUdkwCVJ66DA91\nEvn6xz2Nl+1m7+7mbs7Nr+/XTCb3nPPL3s/sZvdzf79zzt1UFZIkteaMvgNIkrQaLDhJUpMsOElS\nkyw4SVKTLDhJUpMsOElSk0YWXJIbkzyY5LOLjHl7kgNJ7kly0XgjSpK0fEuZwd0EbD3RwSSXAs+s\nqo3A7wLXjSmbJEkrNrLgqurjwDcWGXIZcHM39g7gnCTnjSeeJEkrs3YMH2M9cGho+zBwPvDgIzvm\n5uZ8uxRJ0qqZmprK/H3jushk/ge20CRJvRpHwR0Bpoe2z+/2SZLUm3EsUe4GdgC7klwCPFRVD55o\n8NTU1BieUpL0WDc3N7fo8ZEFl+QW4KXAuUkOAX8OPA6gqnZW1W1JLk1yEPg2cNVJp5Yk6STlVPy6\nnOGLTJzBSZLGYXgGt5oXmUiSNFEsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4\nSVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpMsOElSkyw4SVKTLDhJUpNGFlyS\nrUlmkhxIcs0Cx89NsjfJ3UnuS/Jbq5JUkqRlWLTgkqwBrgW2As8Gtie5YN6wHcBdVXUh8DLgrUnW\nrkJWSZKWbNQMbjNwsKpmq+oosAu4fN6YLwFP6h4/CfhaVR0bb0xJkpZn1ExrPXBoaPswcPG8MdcD\nH0nyReBs4FfHF0+SpJUZNYOrJXyMNwJ3V9XTgAuBdyQ5+6STSZJ0EkYV3BFgemh7msEsbtgLgfcC\nVNUDwBeAZ40roCRJKzGq4PYBG5NsSHImcAWwe96YGWALQJLzGJTb58cdVJKk5Vj0HFxVHUuyA7gd\nWAPcUFX7k1zdHd8J/CVwU5J7GBTmn1XV11c5tyRJi0rVUk6znZy5ubnjTzI1NbXqzydJat/c3Nzx\nx1NTU5l/3HcykSQ1yYKTJDXJgpMkNcmCkyQ1yYKTJDXJgpMkNcmCkyQ1yYKTJDXJgpMkNcmCkyQ1\nyYKTJDXJgpMkNcmCkyQ1yYKTJDXJgpMkNcmCkyQ1yYKTJDXJgpMkNcmCkyQ1aWTBJdmaZCbJgSTX\nnGDMy5LcleS+JP8y9pSSJC3T2sUOJlkDXAtsAY4AdybZXVX7h8acA7wDeEVVHU5y7moGliRpKUbN\n4DYDB6tqtqqOAruAy+eN+XXgfVV1GKCqvjr+mJIkLc+oglsPHBraPtztG7YReHKSjybZl+Q3xhlQ\nkqSVWHSJEqglfIzHAc8FXg6sAz6V5N+r6sDJhpMkaaVGFdwRYHpoe5rBLG7YIeCrVfVd4LtJ/hX4\nScCCkyT1ZtQS5T5gY5INSc4ErgB2zxvzj8BPJVmTZB1wMXD/+KNKkrR0i87gqupYkh3A7cAa4Iaq\n2p/k6u74zqqaSbIXuBf4HnB9VVlwkqRepWopp9lOztzc3PEnmZqaWvXnkyS1b25u7vjjqampzD/u\nO5lIkppkwUmSmmTBSZKaZMFJkppkwUmSmjTqRm9J0mPUzMzDzM72m2HDBti06awV/VsLTpK0oNlZ\n2LZtZeUyLnv2PMymTSv7ty5RSpKaZMFJkppkwUmSmmTBSZKaZMFJkppkwUmSmmTBSZKaZMFJkppk\nwUmSmmTBSZKaZMFJkppkwUmSmjSy4JJsTTKT5ECSaxYZ94Ikx5K8crwRJUlavkULLska4FpgK/Bs\nYHuSC04w7i3AXiCrkFOSpGUZNYPbDBysqtmqOgrsAi5fYNxrgVuBr4w5nyRJKzKq4NYDh4a2D3f7\njkuynkHpXdftqrGlkyRphUYV3FLK6m3A66uqGCxPukQpSerdqN/ofQSYHtqeZjCLG/Y8YFcSgHOB\nbUmOVtXusaWUJGmZRhXcPmBjkg3AF4ErgO3DA6rqRx55nOQm4IOWmySpb4sWXFUdS7IDuB1YA9xQ\nVfuTXN0d33kKMkqStGyjZnBU1R5gz7x9CxZbVV01plySJJ0U38lEktQkC06S1CQLTpLUJAtOktQk\nC06S1CQLTpLUJAtOktQkC06S1CQLTpLUJAtOktQkC06S1CQLTpLUJAtOktQkC06S1CQLTpLUJAtO\nktQkC06S1CQLTpLUJAtOktSkJRVckq1JZpIcSHLNAsdfleSeJPcm+bckzxl/VEmSlm5kwSVZA1wL\nbAWeDWxPcsG8YZ8HXlJVzwH+AnjnuINKkrQcS5nBbQYOVtVsVR0FdgGXDw+oqk9V1Vy3eQdw/nhj\nSpK0PEspuPXAoaHtw92+E/kd4LaTCSVJ0slau4QxtdQPluSngd8GXrTiRJIkjcFSCu4IMD20Pc1g\nFvd9ugtLrge2VtU3xhNPkqSVWcoS5T5gY5INSc4ErgB2Dw9I8nTg/cCVVXVw/DElSVqekTO4qjqW\nZAdwO7AGuKGq9ie5uju+E3gT8IPAdUkAjlbV5tWLLUmnv5mZh5md7e/5N2yATZvO6i/AKlvKEiVV\ntQfYM2/fzqHHrwZePd5oktS22VnYtq2/gtmz52E2bert6Ved72QiSWqSBSdJapIFJ0lqkgUnSWqS\nBSdJatKSrqIcp717Hz7VT3lc65fESpL+3ykvOC+JlSSdCi5RSpKaZMFJkppkwUmSmmTBSZKaZMFJ\nkpp0yq+inGS+s7cktcOCG+I7e0tSO1yilCQ1yYKTJDXJJUpJTer7nDp4Xr1vFpykJvV9Th08r943\nlyglSU0aWXBJtiaZSXIgyTUnGPP27vg9SS4af0xJkpZn0SXKJGuAa4EtwBHgziS7q2r/0JhLgWdW\n1cYkFwPXAZesYubHLM8pSNLSjToHtxk4WFWzAEl2AZcD+4fGXAbcDFBVdyQ5J8l5VfXgKuR9TPOc\ngiaFL7Z0OkhVnfhg8ivAK6rqNd32lcDFVfXaoTEfBN5cVZ/stj8MXFNVn35kzNzc3ImfRJKkkzQ1\nNZX5+0adg1tqMc3/wBaaJKlXowruCDA9tD0NHB4x5vxunyRJvRl1Dm4fsDHJBuCLwBXA9nljdgM7\ngF1JLgEemn/+baGpoyRJq2nRgquqY0l2ALcDa4Abqmp/kqu74zur6rYklyY5CHwbuGrVU0uSNMKi\nF5lIknS6Oi3eyWQpN5v3KcmNSR5M8tm+sywkyXSSjyb5XJL7kvxh35nmS3JWkjuS3J3k/iRv7jvT\nQpKsSXJXd/XwxEkym+TeLuN/9J1nId2tRLcm2d99rSfqvtkkz+o+f4/8mZu075kkb+i+nz+b5D1J\nfqDvTPMleV2X774kr+slw6TP4Lqbzf+ToZvNge3DN5v3LcmLgW8B76qqn+g7z3xJngo8taruTvJE\n4NPAL03S5xAgybqq+k6StcAngD+pqk/0nWtYkj8GngecXVWX9Z1nviRfAJ5XVV/vO8uJJLkZ+FhV\n3dh9rZ9QVXN951pIkjMY/NzZXFWH+s4D0F0T8RHggqr6nyR/D9xWVTf3GmxIkh8HbgFeABwF9gK/\nV1UPnMocp8MM7vjN5lV1FHjkZvOJUVUfB77Rd44TqaovV9Xd3eNvMbhR/2n9pnq0qvpO9/BMBud8\nJ+qHdJLzgUuBv+HRt8ZMkonNlmQKeHFV3QiD8/yTWm6dLcADk1JunW8yKI113QuEdUzeleubgDuq\n6uGq+l/gY8ArT3WI06Hg1gPD/7kOd/u0At2rv4uAO/pN8mhJzkhyN/Ag8NGqur/vTPP8FfCnwPf6\nDrKIAj6cZF+S1/QdZgHPAL6S5KYkn0lyfZJ1fYdaxK8B7+k7xLBudv5W4L8YXN3+UFV9uN9Uj3If\n8OIkT+6+vj/P4BayU+p0KLjJXkM9jXTLk7cCr+tmchOlqr5XVRcy+EZ4SZKX9RzpuCS/APx3Vd3F\nBM+QgBdV1UXANuAPuuXzSbIWeC7w11X1XAZXXr++30gLS3Im8IvAe/vOMizJjwJ/BGxgsBLzxCSv\n6jXUPFU1A7wF+BCwB7iLHl4Yng4Ft5SbzTVCkscB7wP+rqr+oe88i+mWrP4JeH7fWYa8ELisO8d1\nC/AzSd7Vc6ZHqaovdX9/BfgAgyX+SXIYOFxVd3bbtzIovEm0Dfh097mcJM8HPllVX6uqY8D7Gfz/\nnChVdWNVPb+qXgo8xOBailPqdCi44zebd6+ormBwc7mWKEmAG4D7q+ptfedZSJJzk5zTPX488LMM\nXvVNhKp6Y1VNV9UzGCxbfaSqfrPvXMOSrEtydvf4CcDPARN1ZW9VfRk4lOTHul1bgM/1GGkx2xm8\nmJk0M8AlSR7ffW9vASZtOZ8kP9T9/XTgl+lhqXfif6P3iW427znW90lyC/BS4ClJDgFvqqqbeo41\n7EXAlcC9SR4pjTdU1d4eM833w8DN3VVrZwB/W1X/3HOmxUzi0vl5wAcGP/NYC7y7qj7Ub6QFvRZ4\nd/eC9QEm8M0huhcIW4CJO49ZVfd0qwf7GCz7fQZ4Z7+pFnRrkqcwuCDm96vqm6c6wMTfJiBJ0kqc\nDkuUkiQtmwUnSWqSBSdJapIFJ0lqkgUnSWqSBSdJapIFJ0lq0v8ByVyjNXG2/lYAAAAASUVORK5C\nYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x7fcd5b4e56d8>"
+       ]
+      }
+     ],
+     "prompt_number": 5
     },
     {
      "cell_type": "markdown",

code/538.json

@@ -10,7 +10,7 @@
     "#6d904f",
     "#8b8b8b"
   ],
-  "axes.facecolor": "#f0f0f0",
+  "axes.facecolor": "#ffffff",
   "axes.labelsize": "large",
   "axes.axisbelow": true,
   "axes.grid": true,
@@ -18,7 +18,7 @@
   "axes.titlesize": "x-large",
   "svg.embed_char_paths": "path",
   "examples.directory": "",
-  "figure.facecolor": "#f0f0f0",
+  "figure.facecolor": "#ffffff",
   "grid.linestyle": "-",
   "grid.linewidth": 1.0,
   "grid.color": "#cbcbcb",