PEP-8 compliance

14_Smoothing/Smoothing.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:cf4e23aa02553cbdae69dbb8733e9b49216155470a73689c07a24c4574923bc9"
+  "signature": "sha256:977e85323406c88caf44809425339ba81920c38d8fdba4011a544e4cea573690"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -32,7 +32,7 @@
       "from __future__ import division, print_function\n",
       "import matplotlib.pyplot as plt\n",
       "import sys\n",
-      "sys.path.insert(0,'../code') # allow us to format the book\n",
+      "sys.path.insert(0, '../code') # allow us to format the book\n",
       "import book_format\n",
       "book_format.load_style()"
      ],
@@ -259,13 +259,13 @@
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 2,
+       "prompt_number": 1,
        "text": [
-        "<IPython.core.display.HTML at 0x7f1ee9015ac8>"
+        "<IPython.core.display.HTML at 0x7f09578a54e0>"
        ]
       }
      ],
-     "prompt_number": 2
+     "prompt_number": 1
     },
     {
      "cell_type": "markdown",
@@ -292,13 +292,13 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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truncated
+       "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7ffb30f847f0>"
+        "<matplotlib.figure.Figure at 0x7f09578a5b70>"
        ]
       }
      ],
-     "prompt_number": 12
+     "prompt_number": 2
     },
     {
      "cell_type": "markdown",
@@ -324,7 +324,7 @@
      "collapsed": false,
      "input": [
       "data2 = [11.3, 12.1, 13.3, 13.9, 14.5, 15.2]\n",
-      "plt.plot(data+data2)\n",
+      "plt.plot(data + data2)\n",
       "plt.show()"
      ],
      "language": "python",
@@ -333,13 +333,13 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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+       "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7ffb31228080>"
+        "<matplotlib.figure.Figure at 0x7f0957895be0>"
        ]
       }
      ],
-     "prompt_number": 13
+     "prompt_number": 3
     },
     {
      "cell_type": "markdown",
@@ -360,7 +360,7 @@
      "collapsed": false,
      "input": [
       "data3 = [9.8, 10.2, 9.9, 10.1, 10.0, 10.3, 9.9, 10.1]\n",
-      "plt.plot(data+data3)\n",
+      "plt.plot(data + data3)\n",
       "plt.show()"
      ],
      "language": "python",
@@ -369,13 +369,13 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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truncated
+       "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7ffb30d9da20>"
+        "<matplotlib.figure.Figure at 0x7f093b034cf8>"
        ]
       }
      ],
-     "prompt_number": 14
+     "prompt_number": 4
     },
     {
      "cell_type": "markdown",
@@ -480,10 +480,10 @@
       "    fk.x = np.array([[0.],\n",
       "                    [1.]])         # initial state (location and velocity)\n",
       "\n",
-      "    fk.F = np.array([[1.,1.],\n",
-      "                     [0.,1.]])     # state transition matrix\n",
+      "    fk.F = np.array([[1., 1.],\n",
+      "                     [0., 1.]])    # state transition matrix\n",
       "\n",
-      "    fk.H = [[1.,0.]]               # Measurement function\n",
+      "    fk.H = [[1., 0.]]              # Measurement function\n",
       "    fk.P = .01                     # covariance matrix\n",
       "    fk.R = noise                   # state uncertainty\n",
       "    fk.Q = 0.001                   # process uncertainty\n",
@@ -497,9 +497,9 @@
       "\n",
       "    # plot data\n",
       "    plt.plot(zs,'r', marker='o', linewidth=1, alpha=0.5, label='measurement')\n",
-      "    plt.plot (M[:,0], c='b', label='RTS')\n",
-      "    plt.plot (mu[:,0,0], c='g', linestyle='--',label='KF output')\n",
-      "    plt.plot ([0,len(zs)],[0,len(zs)], 'k', linewidth=1, label='ideal') \n",
+      "    plt.plot(M[:, 0], c='b', label='RTS')\n",
+      "    plt.plot(mu[:, 0, 0], c='g', linestyle='--', label='KF output')\n",
+      "    plt.plot([0, len(zs)], [0, len(zs)], 'k', linewidth=1, label='ideal') \n",
       "    plt.legend(loc=4)\n",
       "\n",
       "    plt.show()\n",
@@ -512,13 +512,13 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f1ee8e96fd0>"
+        "<matplotlib.figure.Figure at 0x7f093afcd7f0>"
        ]
       }
      ],
-     "prompt_number": 64
+     "prompt_number": 5
     },
     {
      "cell_type": "markdown",
@@ -541,13 +541,13 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f1ee8db19b0>"
+        "<matplotlib.figure.Figure at 0x7f093aff1eb8>"
        ]
       }
      ],
-     "prompt_number": 65
+     "prompt_number": 6
     },
     {
      "cell_type": "markdown",