Merge pull request CamDavidsonPilon#186 from eli-b/chap1-style

autopep8 --ignore=E501,E703 fixes.

Author: CamDavidsonPilon

Chapter1_Introduction/Chapter1_Introduction.ipynb

@@ -194,9 +194,9 @@
       "\n",
       "# For the already prepared, I'm using Binomial's conj. prior.\n",
       "for k, N in enumerate(n_trials):\n",
-      "    sx = plt.subplot(len(n_trials)/2, 2, k+1)\n",
+      "    sx = plt.subplot(len(n_trials) / 2, 2, k + 1)\n",
       "    plt.xlabel(\"$p$, probability of heads\") \\\n",
-      "        if k in [0, len(n_trials)-1] else None\n",
+      "        if k in [0, len(n_trials) - 1] else None\n",
       "    plt.setp(sx.get_yticklabels(), visible=False)\n",
       "    heads = data[:N].sum()\n",
       "    y = dist.pdf(x, 1 + heads, 1 + N - heads)\n",
@@ -286,9 +286,9 @@
      "input": [
       "figsize(12.5, 4)\n",
       "p = np.linspace(0, 1, 50)\n",
-      "plt.plot(p, 2*p/(1+p), color=\"#348ABD\", lw=3)\n",
-      "#plt.fill_between(p, 2*p/(1+p), alpha=.5, facecolor=[\"#A60628\"])\n",
-      "plt.scatter(0.2, 2*(0.2)/1.2, s=140, c=\"#348ABD\")\n",
+      "plt.plot(p, 2 * p / (1 + p), color=\"#348ABD\", lw=3)\n",
+      "# plt.fill_between(p, 2*p/(1+p), alpha=.5, facecolor=[\"#A60628\"])\n",
+      "plt.scatter(0.2, 2 * (0.2) / 1.2, s=140, c=\"#348ABD\")\n",
       "plt.xlim(0, 1)\n",
       "plt.ylim(0, 1)\n",
       "plt.xlabel(\"Prior, $P(A) = p$\")\n",
@@ -336,12 +336,12 @@
       "colours = [\"#348ABD\", \"#A60628\"]\n",
       "\n",
       "prior = [0.20, 0.80]\n",
-      "posterior = [1./3, 2./3]\n",
+      "posterior = [1. / 3, 2. / 3]\n",
       "plt.bar([0, .7], prior, alpha=0.70, width=0.25,\n",
       "        color=colours[0], label=\"prior distribution\",\n",
       "        lw=\"3\", edgecolor=colours[0])\n",
       "\n",
-      "plt.bar([0+0.25, .7+0.25], posterior, alpha=0.7,\n",
+      "plt.bar([0 + 0.25, .7 + 0.25], posterior, alpha=0.7,\n",
       "        width=0.25, color=colours[1],\n",
       "        label=\"posterior distribution\",\n",
       "        lw=\"3\", edgecolor=colours[1])\n",
@@ -491,14 +491,14 @@
       "lambda_ = [0.5, 1]\n",
       "\n",
       "for l, c in zip(lambda_, colours):\n",
-      "    plt.plot(a, expo.pdf(a, scale=1./l), lw=3,\n",
+      "    plt.plot(a, expo.pdf(a, scale=1. / l), lw=3,\n",
       "             color=c, label=\"$\\lambda = %.1f$\" % l)\n",
-      "    plt.fill_between(a, expo.pdf(a, scale=1./l), color=c, alpha=.33)\n",
+      "    plt.fill_between(a, expo.pdf(a, scale=1. / l), color=c, alpha=.33)\n",
       "\n",
       "plt.legend()\n",
       "plt.ylabel(\"PDF at $z$\")\n",
       "plt.xlabel(\"$z$\")\n",
-      "plt.ylim(0,1.2)\n",
+      "plt.ylim(0, 1.2)\n",
       "plt.title(\"Probability density function of an Exponential random variable;\\\n",
       " differing $\\lambda$\");"
      ],
@@ -642,7 +642,7 @@
      "input": [
       "import pymc as pm\n",
       "\n",
-      "alpha = 1.0/count_data.mean()  # Recall count_data is the\n",
+      "alpha = 1.0 / count_data.mean()  # Recall count_data is the\n",
       "                               # variable that holds our txt counts\n",
       "lambda_1 = pm.Exponential(\"lambda_1\", alpha)\n",
       "lambda_2 = pm.Exponential(\"lambda_2\", alpha)\n",
@@ -731,7 +731,7 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "### Mysterious code to be explained in Chapter 3.\n",
+      "# Mysterious code to be explained in Chapter 3.\n",
       "mcmc = pm.MCMC(model)\n",
       "mcmc.sample(40000, 10000, 1)"
      ],
@@ -774,7 +774,7 @@
      "collapsed": false,
      "input": [
       "figsize(12.5, 10)\n",
-      "#histogram of the samples:\n",
+      "# histogram of the samples:\n",
       "\n",
       "ax = plt.subplot(311)\n",
       "ax.set_autoscaley_on(False)\n",
@@ -804,7 +804,7 @@
       "\n",
       "plt.legend(loc=\"upper left\")\n",
       "plt.ylim([0, .75])\n",
-      "plt.xlim([35, len(count_data)-20])\n",
+      "plt.xlim([35, len(count_data) - 20])\n",
       "plt.xlabel(r\"$\\tau$ (in days)\")\n",
       "plt.ylabel(\"probability\");"
      ],
@@ -923,7 +923,7 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "#type your code here."
+      "# type your code here."
      ],
      "language": "python",
      "metadata": {},
@@ -941,7 +941,7 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "#type your code here."
+      "# type your code here."
      ],
      "language": "python",
      "metadata": {},
@@ -959,7 +959,7 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "#type your code here."
+      "# type your code here."
      ],
      "language": "python",
      "metadata": {},
@@ -987,6 +987,8 @@
      "collapsed": false,
      "input": [
       "from IPython.core.display import HTML\n",
+      "\n",
+      "\n",
       "def css_styling():\n",
       "    styles = open(\"../styles/custom.css\", \"r\").read()\n",
       "    return HTML(styles)\n",