Removed gray background from 538 style.

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

14_Smoothing/Smoothing.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:d490a5cbf987e71d27897004107aa17320363f945ffb43cf718c4bc0c015216c"
+  "signature": "sha256:4d079ba596720ac4462749b002a8e25677c1666a2db55f444e3770f2e640e242"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -261,7 +261,7 @@
        "output_type": "pyout",
        "prompt_number": 1,
        "text": [
-        "<IPython.core.display.HTML at 0x7f4973273128>"
+        "<IPython.core.display.HTML at 0x7ff9bcc59128>"
        ]
       }
      ],
@@ -298,9 +298,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAyYAAAGNCAYAAADkc2U2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f49732732b0>"
+        "<matplotlib.figure.Figure at 0x7ff9bcc592b0>"
        ]
       }
      ],
@@ -339,9 +339,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f4956aa4ba8>"
+        "<matplotlib.figure.Figure at 0x7ff9a04a4e48>"
        ]
       }
      ],
@@ -375,9 +375,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f4956a35d68>"
+        "<matplotlib.figure.Figure at 0x7ff9a0437e80>"
        ]
       }
      ],
@@ -556,9 +556,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f495699bf98>"
+        "<matplotlib.figure.Figure at 0x7ff9a03ad358>"
        ]
       }
      ],
@@ -585,9 +585,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f49569cee10>"
+        "<matplotlib.figure.Figure at 0x7ff9a03d6550>"
        ]
       }
      ],