Added some images

diff --git a/20180409/20180409.ipynb b/20180409/20180409.ipynb
index c4373f3e0dbec685dc10e22c6e740cadc7a4a8da..62e934bd76421dc43a6fb49363f57f55b52b036b 100644 (file)
--- a/20180409/20180409.ipynb
+++ b/20180409/20180409.ipynb
@@ -1,8 +1,19 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Makeover Monday, 9 April 2018\n",
+    "\n",
+    "Analysis and visualisation of Arctic sea ice extent for [Makeover Monday](http://www.makeovermonday.co.uk).\n",
+    "\n",
+    "Data from [US National Snow & Ice data centre](https://nsidc.org/) via [Makeover Monday](http://www.makeovermonday.co.uk/data/)."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -95,7 +106,7 @@
        "4 1978-11-03  10.777"
       ]
      },
-     "execution_count": 126,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -108,7 +119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -175,7 +186,7 @@
        "12750 2018-03-31  14.271"
       ]
      },
-     "execution_count": 127,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -186,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -197,7 +208,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 128,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -208,16 +219,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f31feb10358>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f91fa5563c8>"
       ]
      },
-     "execution_count": 129,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -246,7 +257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -331,7 +342,7 @@
        "4 1978-11-03  10.777  1978  307     11"
       ]
      },
-     "execution_count": 130,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -364,16 +375,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f31fbea89e8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f91fa40e588>"
       ]
      },
-     "execution_count": 116,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -404,7 +415,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -413,7 +424,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -827,7 +838,7 @@
        "[12 rows x 41 columns]"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -846,7 +857,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -868,7 +879,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -886,7 +897,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -1300,7 +1311,7 @@
        "[12 rows x 41 columns]"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1312,7 +1323,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1726,7 +1737,7 @@
        "[12 rows x 30 columns]"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1745,7 +1756,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1772,7 +1783,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1799,7 +1810,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1829,7 +1840,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -2243,7 +2254,7 @@
        "[12 rows x 41 columns]"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2266,7 +2277,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -2950,7 +2961,7 @@
        "[12 rows x 41 columns]"
       ]
      },
-     "execution_count": 77,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2970,7 +2981,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -2979,13 +2990,13 @@
        "<BarContainer object of 12 artists>"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAD8CAYAAABzTgP2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAE2RJREFUeJzt3X+wX3V95/Hnq6SxldoCkobwQ6GalQ22Dd27bFl32gqhRbZjwIILu7LpFJp/yq7a1grDzI7j1B2ktnRn1nUbQU2VERHNkBEqhoh1OlupF0ohIY2JoDUhkCv+Ykqrpbz3j3vofD8335ub3PNNvrnh+Zj5zvecz/mc83mfyb33lc8553tvqgpJkl7wQ+MuQJJ0ZDEYJEkNg0GS1DAYJEkNg0GS1DAYJEmNkQVDkguTbE+yM8m1Q7a/JMknuu33Jzl9YNt1Xfv2JL8yqpokSQdvJMGQ5Bjg/cAbgBXAFUlWzOh2FfDtqno1cBPw3m7fFcDlwFnAhcD/6Y4nSRqDUc0YzgF2VtVjVfUD4DZg9Yw+q4H13fIdwPlJ0rXfVlXfr6rHgZ3d8SRJY7BoRMc5BfjGwPou4N/N1qeqnkvyXeDlXfuXZux7yswBkqwF1gIce+yx/+bMM8+cV6E7vjev3fZr+Y/v2/bYt0c/zk8df+jHGTYGwNe/OdpxXnnivm27nhztGACnnrRv2+PfGv04Z5ywb9v2Z0Y/zmtetm/b1n8Y7Rhn/ejw9q+M+HvnXw35vnn02dGOAbDipfu2ffUQfH++asj3zqi/b2D4986BeuCBB75ZVUvm6jeqYDjkqmodsA5gYmKiJicn53WcC+8ZZVXTPjvkrshld4x+nE9eum/bmz852jFuv2x4+9W3jHacm6/at+33/mC0YwDc+I5926782OjH+ehb9m37pT8f/Thf+MV92167dbRjTJ41vP2Ce0c7zqZV+7b93F+PdgyAybP3bbv0U6Mf545f27ftN28e/TgfvHr++yb5+oH0G9WlpN3AaQPrp3ZtQ/skWQT8BPD0Ae4rSTpMRhUMXwaWJzkjyWKmbyZvnNFnI7CmW74U+HxN/wa/jcDl3VNLZwDLgb8aUV2SpIM0kktJ3T2Da4B7gGOAD1XV1iTvBiaraiNwC/DRJDuBbzEdHnT9bgceBZ4Dfquq/nkUdUmSDt7I7jFU1d3A3TPa/sfA8j8CQ69gV9V7gPeMqhZJ0vz5yWdJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1egVDkhOSbEqyo3s/fkiflUn+MsnWJA8n+U8D2z6S5PEkD3WvlX3qkST113fGcC2wuaqWA5u79ZmeBf5rVZ0FXAj8cZLjBra/o6pWdq+HetYjSeqpbzCsBtZ3y+uBi2d2qKqvVNWObvkJYC+wpOe4kqRDpG8wLK2qPd3yk8DS/XVOcg6wGPjqQPN7uktMNyV5Sc96JEk9LZqrQ5J7gZOGbLp+cKWqKknt5zjLgI8Ca6rq+a75OqYDZTGwDngn8O5Z9l8LrAV4xSteMVfZkqR5mjMYqmrVbNuSPJVkWVXt6X7w752l348DdwHXV9WXBo79wmzj+0k+DPzufupYx3R4MDExMWsASZL66XspaSOwplteA9w5s0OSxcAG4E+r6o4Z25Z172H6/sSWnvVIknrqGww3ABck2QGs6tZJMpHk5q7Pm4FfAH59yGOptyZ5BHgEOBH4/Z71SJJ6mvNS0v5U1dPA+UPaJ4Gru+WPAR+bZf/z+owvSRo9P/ksSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWr0DoYkJyTZlGRH9378LP3+OclD3WvjQPsZSe5PsjPJJ5Is7luTJGn+RjFjuBbYXFXLgc3d+jD/UFUru9cbB9rfC9xUVa8Gvg1cNYKaJEnzNIpgWA2s75bXAxcf6I5JApwH3DGf/SVJozeKYFhaVXu65SeBpbP0+5Ekk0m+lOSFH/4vB75TVc9167uAU4btnGRtt//k1NTUCMqWJA2z6EA6JbkXOGnIpusHV6qqktQsh3llVe1O8lPA55M8Anz3QAutqnXAOoCJiYnZxpAk9XRAwVBVq2bbluSpJMuqak+SZcDeWY6xu3t/LMkXgLOBTwHHJVnUzRpOBXYf5DlIkkbogIJhDhuBNcAN3fudMzt0Tyo9W1XfT3Ii8Drgxm6GcR9wKXDbbPvrxeHGd4y7AkkwmnsMNwAXJNkBrOrWSTKR5Oauz78GJpP8DXAfcENVPdpteyfw20l2Mn3P4ZYR1CRJmqfeM4aqeho4f0j7JHB1t/z/gJ+eZf/HgHP61iFJGg0/+SxJahgMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqRGr2BIckKSTUl2dO/HD+nz+iQPDbz+McnF3baPJHl8YNvKPvVIkvrrO2O4FthcVcuBzd16o6ruq6qVVbUSOA94FvjcQJd3vLC9qh7qWY8kqae+wbAaWN8trwcunqP/pcCfVdWzPceVJB0ifYNhaVXt6ZafBJbO0f9y4OMz2t6T5OEkNyV5yWw7JlmbZDLJ5NTUVI+SJUn7M2cwJLk3yZYhr9WD/aqqgNrPcZYBPw3cM9B8HXAm8G+BE4B3zrZ/Va2rqomqmliyZMlcZUuS5mnRXB2qatVs25I8lWRZVe3pfvDv3c+h3gxsqKp/Gjj2C7ON7yf5MPC7B1i3JOkQ6XspaSOwplteA9y5n75XMOMyUhcmJAnT9ye29KxHktRT32C4AbggyQ5gVbdOkokkN7/QKcnpwGnAn8/Y/9YkjwCPACcCv9+zHklST3NeStqfqnoaOH9I+yRw9cD614BThvQ7r8/4kqTR85PPkqSGwSBJahgMkqSGwSBJavS6+SxJmt0Hr567z5HIGYMkqWEwSJIaXkrSAbn5qnFXIOlwccYgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkRu9gSHJZkq1Jnk8ysZ9+FybZnmRnkmsH2s9Icn/X/okki/vWJEmav1HMGLYAbwK+OFuHJMcA7wfeAKwArkiyotv8XuCmqno18G3A38ojSWPU+5foVdU2gCT763YOsLOqHuv63gasTrINOA/4z12/9cC7gA/0rUuazUffMu4KpCPb4brHcArwjYH1XV3by4HvVNVzM9r3kWRtkskkk1NTU4e0WEl6MTugGUOSe4GThmy6vqruHG1Jw1XVOmAdwMTERB2OMSXpxeiAgqGqVvUcZzdw2sD6qV3b08BxSRZ1s4YX2iVJY3K4LiV9GVjePYG0GLgc2FhVBdwHXNr1WwMclhmIJGm4UTyuekmSXcC5wF1J7unaT05yN0A3G7gGuAfYBtxeVVu7Q7wT+O0kO5m+53BL35okSfM3iqeSNgAbhrQ/AVw0sH43cPeQfo8x/dSSJOkI4CefJUkNg0GS1DAYJEkNg0GS1DAYJEkNg0GS1DAYJEmN3p9j0Hjdftm4K5B0tHHGIElqGAySpIaXkg6RT146dx9JOhI5Y5AkNZwxSHrRuePXxl3Bkc0ZgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhq9giHJZUm2Jnk+ycQsfU5Lcl+SR7u+bx3Y9q4ku5M81L0uGnYMSdLh0/dzDFuANwF/sp8+zwG/U1UPJnkZ8ECSTVX1aLf9pqp6X886JEkj0isYqmobQJL99dkD7OmWn0myDTgFeHTWnSRJY3NY7zEkOR04G7h/oPmaJA8n+VCS4/ez79okk0kmp6amDnGlkvTiNWcwJLk3yZYhr9UHM1CSHwM+Bbytqr7XNX8AeBWwkulZxR/Otn9VrauqiaqaWLJkycEMLUk6CHNeSqqqVX0HSfLDTIfCrVX16YFjPzXQ54PAZ/qOJUnq55BfSsr0DYhbgG1V9Uczti0bWL2E6ZvZkqQx6vu46iVJdgHnAncluadrPznJ3V231wFXAucNeSz1xiSPJHkYeD3w9j71SJL66/tU0gZgw5D2J4CLuuW/AIY+tlRVV/YZX5I0en7yWZLUMBgkSQ2DQZLUMBgkSQ2DQZLUMBgkSQ2DQZLUMBgkSQ2DQZLU6PuHehacz/7KuCuQpCObMwZJUsNgkCQ1DAZJUsNgkCQ1DAZJUuNF91SSpPnZ1PuP/GqhcMYgSWoYDJKkRt+/+XxZkq1Jnk8ysZ9+X+v+tvNDSSYH2k9IsinJju79+D71SJL66ztj2AK8CfjiAfR9fVWtrKrBALkW2FxVy4HN3bokaYx6BUNVbauq7T0OsRpY3y2vBy7uU48kqb/DdY+hgM8leSDJ2oH2pVW1p1t+Elg62wGSrE0ymWRyamrqUNYqSS9qcz6umuRe4KQhm66vqjsPcJz/UFW7k/wksCnJ31ZVc/mpqipJzXaAqloHrAOYmJiYtZ8kqZ85g6Gqej+9XFW7u/e9STYA5zB9X+KpJMuqak+SZcDevmNJkvo55B9wS3Is8ENV9Uy3/MvAu7vNG4E1wA3d+4HOQKQj3hd+cdwVSPPT93HVS5LsAs4F7kpyT9d+cpK7u25Lgb9I8jfAXwF3VdVnu203ABck2QGs6tYlSWPUa8ZQVRuADUPanwAu6pYfA352lv2fBs7vU4MkabT85LMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaff/m82VJtiZ5PsnELH1ek+Shgdf3kryt2/auJLsHtl3Upx5JUn+9/uYzsAV4E/Ans3Woqu3ASoAkxwC7af9O9E1V9b6edUiSRqRXMFTVNoAkB7rL+cBXq+rrfcaVJB06h/sew+XAx2e0XZPk4SQfSnL8bDsmWZtkMsnk1NTUoa1Skl7E5gyGJPcm2TLktfpgBkqyGHgj8MmB5g8Ar2L6UtMe4A9n27+q1lXVRFVNLFmy5GCGliQdhDkvJVXVqhGN9Qbgwap6auDY/7Kc5IPAZ0Y0liRpnvrefD4YVzDjMlKSZVW1p1u9hOmb2ZJepB48e9wVCPo/rnpJkl3AucBdSe7p2k9OcvdAv2OBC4BPzzjEjUkeSfIw8Hrg7X3qkST11/eppA20j56+0P4EcNHA+t8DLx/S78o+40uSRs9PPkuSGgaDJKlhMEiSGgaDJKlhMEiSGgaDJKlhMEiSGgaDJKlhMEiSGgaDJKlxOH+JnqRDYMtZ465ARxtnDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWqkqsZdw0FL8gywfdx1jMiJwDfHXcQIHU3nczSdC3g+R7LDdS6vrKolc3VaqL8raXtVTYy7iFFIMnm0nAscXedzNJ0LeD5HsiPtXLyUJElqGAySpMZCDYZ14y5ghI6mc4Gj63yOpnMBz+dIdkSdy4K8+SxJOnQW6oxBknSIGAySpMaCCoYkFybZnmRnkmvHXU8fSU5Lcl+SR5NsTfLWcdfUV5Jjkvx1ks+Mu5a+khyX5I4kf5tkW5Jzx11TH0ne3n2dbUny8SQ/Mu6aDlSSDyXZm2TLQNsJSTYl2dG9Hz/OGg/GLOfzB93X2sNJNiQ5bpw1LphgSHIM8H7gDcAK4IokK8ZbVS/PAb9TVSuAnwd+a4GfD8BbgW3jLmJE/hfw2ao6E/hZFvB5JTkF+O/ARFW9FjgGuHy8VR2UjwAXzmi7FthcVcuBzd36QvER9j2fTcBrq+pngK8A1x3uogYtmGAAzgF2VtVjVfUD4DZg9Zhrmreq2lNVD3bLzzD9g+eU8VY1f0lOBf4jcPO4a+kryU8AvwDcAlBVP6iq74y3qt4WAT+aZBHwUuCJMddzwKrqi8C3ZjSvBtZ3y+uBiw9rUT0MO5+q+lxVPdetfgk49bAXNmAhBcMpwDcG1nexgH+QDkpyOnA2cP94K+nlj4HfA54fdyEjcAYwBXy4uzR2c5Jjx13UfFXVbuB9wN8Be4DvVtXnxltVb0urak+3/CSwdJzFjNhvAH82zgIWUjAclZL8GPAp4G1V9b1x1zMfSX4V2FtVD4y7lhFZBPwc8IGqOhv4exbWpYpGd/19NdOBdzJwbJK3jLeq0anpZ+6Piufuk1zP9GXmW8dZx0IKht3AaQPrp3ZtC1aSH2Y6FG6tqk+Pu54eXge8McnXmL7Ed16Sj423pF52Abuq6oUZ3B1MB8VCtQp4vKqmquqfgE8D/37MNfX1VJJlAN373jHX01uSXwd+FfgvNeYPmC2kYPgysDzJGUkWM33zbOOYa5q3JGH6Gva2qvqjcdfTR1VdV1WnVtXpTP+7fL6qFuz/SKvqSeAbSV7TNZ0PPDrGkvr6O+Dnk7y0+7o7nwV8M72zEVjTLa8B7hxjLb0luZDpS7FvrKpnx13PggmG7sbMNcA9TH9R315VW8dbVS+vA65k+n/XD3Wvi8ZdlP7FfwNuTfIwsBL4n2OuZ966mc8dwIPAI0x/3x9Rv4Jhf5J8HPhL4DVJdiW5CrgBuCDJDqZnRDeMs8aDMcv5/G/gZcCm7mfB/x1rjf5KDEnSoAUzY5AkHR4GgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhr/H7/0QEAfJQElAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -3007,12 +3018,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1080x1080 with 30 Axes>"
       ]
@@ -3024,6 +3035,7 @@
    "source": [
     "# sea_ice_month_year_diff.loc[:, 1988:2017].plot(legend=None, subplots=True, layout=(6, 5), sharey=True, figsize=(15, 15), kind='bar', color=sea_ice_month_year_colour);\n",
     "f, axes = plt.subplots(6, 5, sharey=True, figsize=(15, 15), facecolor='darkslateblue')\n",
+    "plt.suptitle('Changes in sea ice extent vs 30-year average\\nEach bar is one month', color='lightsteelblue', fontsize=24)\n",
     "for r, row in enumerate(axes):\n",
     "    for c, ax in enumerate(row):\n",
     "        yr = 1988 + r * 5 + c\n",
@@ -3036,6 +3048,15 @@
     "#         ax.set_facecolor('darkslateblue')"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "f.savefig(\"changes-per-year.png\", facecolor=f.get_facecolor(), transparent=True)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -3047,7 +3068,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {

diff --git a/20180409/changes-per-year-cover.png b/20180409/changes-per-year-cover.png
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diff --git a/20180409/changes-per-year.png b/20180409/changes-per-year.png
new file mode 100644 (file)
index 0000000..3f11f24
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