Add Arviz to 03-instructor

Author: canyon289

notebooks/03-instructor-two-group-iq.ipynb

@@ -11,6 +11,7 @@
     "import matplotlib.pyplot as plt\n",
     "import pymc3 as pm\n",
     "import seaborn as sns\n",
+    "import arviz as az\n",
     "from utils import ECDF\n",
     "from data import load_kruschke\n",
     "\n",
@@ -290,7 +291,7 @@
    "outputs": [],
    "source": [
     "# Use `pm.plot_posterior()`\n",
-    "pm.plot_posterior(trace, varnames=['mu_drug', 'mu_placebo'])"
+    "az.plot_posterior(trace, var_names=['mu_drug', 'mu_placebo'])"
    ]
   },
   {
@@ -377,7 +378,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pm.plot_posterior(trace=trace, varnames=['diff_means', 'effect_size'])"
+    "az.plot_posterior(trace=trace, var_names=['diff_means', 'effect_size'])"
    ]
   },
   {
@@ -488,7 +489,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "traces = pm.traceplot(trace_alt)"
+    "traces = az.traceplot(trace_alt)"
    ]
   },
   {
@@ -497,7 +498,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pm.plot_posterior(trace_alt, varnames=['mu', 'effect_size'])"
+    "az.plot_posterior(trace_alt, var_names=['mu', 'effect_size'])"
    ]
   },
   {
@@ -521,9 +522,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "bayesian-modelling-tutorial",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "bayesian-modelling-tutorial"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -535,7 +536,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.6"
+   "version": "3.6.8"
   },
   "toc": {
    "base_numbering": 1,