fixing n_eff syntax

post.ipynb

@@ -33,9 +33,12 @@
    "outputs": [],
    "source": [
     "import time\n",
+    "import warnings\n",
     "import pymc3 as pm\n",
     "import arviz as az\n",
     "\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "\n",
     "print(\"PyMC3 version {0}\".format(pm.__version__))\n",
     "\n",
     "ndim = 5\n",
@@ -53,7 +56,7 @@
     "    simple_time = 0.5 * (time.time() - strt)\n",
     "\n",
     "stats = az.summary(simple_trace)\n",
-    "simple_time_per_eff = simple_time / stats.n_eff.min()\n",
+    "simple_time_per_eff = simple_time / stats.ess_bulk.values.min()\n",
     "print(\"time per effective sample: {0:.5f} ms\".format(simple_time_per_eff * 1000))"
    ]
   },
@@ -118,7 +121,7 @@
     "    default_time = 0.5 * (time.time() - strt)\n",
     "\n",
     "stats = az.summary(default_trace)\n",
-    "default_time_per_eff = default_time / stats.n_eff.min()\n",
+    "default_time_per_eff = default_time / stats.ess_bulk.values.min()\n",
     "print(\"time per effective sample: {0:.5f} ms\".format(default_time_per_eff * 1000))"
    ]
   },
@@ -245,7 +248,7 @@
     "    dense_time = factor * (time.time() - strt)\n",
     "\n",
     "stats = az.summary(dense_trace)\n",
-    "dense_time_per_eff = dense_time / stats.n_eff.min()\n",
+    "dense_time_per_eff = dense_time / stats.ess_bulk.values.min()\n",
     "print(\"time per effective sample: {0:.5f} ms\".format(dense_time_per_eff * 1000))"
    ]
   },
@@ -262,8 +265,11 @@
   }
  ],
  "metadata": {
+  "interpreter": {
+   "hash": "d8f5e6b874eb995d9325c7bfdfb796f807dd9e9fb3bde7448cbe7c3e6cab02f9"
+  },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3.9.13 ('env': venv)",
    "language": "python",
    "name": "python3"
   },
@@ -277,7 +283,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,