added additional snippets

Author: chrisalbon

.ipynb_checkpoints/matplotlib_histogram-checkpoint.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:a3ca72385e672b8355c9ae97f541589ced41ba0497f41237627db93034f380fa"
+  "signature": "sha256:3b458396023b4f0bb16484203d4883085bdd18ca77786ee4258987b04502cac1"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -374,23 +374,34 @@
       "data1 = df['attacker_size'][df['attacker_size'] < 90000]\n",
       "data2 = df['defender_size'][df['attacker_size'] < 90000]\n",
       "\n",
-      "# Create 10 bins\n",
+      "# Create 10 bins with the minimum \n",
+      "# being the smallest value of data1 and data2 \n",
       "bins = np.linspace(min(data1 + data2), \n",
+      "                   # the max being the highest value\n",
       "                   max(data1 + data2),\n",
+      "                   # and divided into 10 bins\n",
       "                   10)\n",
       "\n",
       "# Plot a histogram of attacker size\n",
       "plt.hist(data1, \n",
+      "         # with bins defined as\n",
       "         bins=bins, \n",
+      "         # with alpha\n",
       "         alpha=0.5, \n",
+      "         # with color\n",
       "         color='#EDD834',\n",
+      "         # labelled attacker\n",
       "         label='Attacker')\n",
       "\n",
       "# Plot a histogram of defender size\n",
       "plt.hist(data2, \n",
+      "         # with bins defined as\n",
       "         bins=bins, \n",
+      "         # with alpha\n",
       "         alpha=0.5, \n",
+      "         # with color\n",
       "         color='#887E43',\n",
+      "         # labeled defender\n",
       "         label='Defender')\n",
       "\n",
       "# Set the x and y boundaries of the figure\n",