🎨 Update plots from pymc to arviz dependencies & replace param sd with sigma

Author: CloudChaoszero

Diff for: examples/diagnostics_and_criticism/Bayes_factor.ipynb

@@ -694,7 +694,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,

Diff for: examples/diagnostics_and_criticism/Diagnosing_biased_Inference_with_Divergences.ipynb

@@ -462,7 +462,7 @@
     }
    ],
    "source": [
-    "pm.summary(short_trace).round(2)"
+    "az.summary(short_trace).round(2)"
    ]
   },
   {
@@ -495,7 +495,7 @@
    ],
    "source": [
     "# plot the trace of log(tau)\n",
-    "pm.traceplot({\"log(tau)\": short_trace.get_values(varname=\"tau_log__\", combine=False)});"
+    "az.plot_trace({\"log(tau)\": short_trace.get_values(varname=\"tau_log__\", combine=False)});"
    ]
   },
   {
@@ -774,7 +774,7 @@
     "# A small wrapper function for displaying the MCMC sampler diagnostics as above\n",
     "def report_trace(trace):\n",
     "    # plot the trace of log(tau)\n",
-    "    pm.traceplot({\"log(tau)\": trace.get_values(varname=\"tau_log__\", combine=False)})\n",
+    "    az.plot_trace({\"log(tau)\": trace.get_values(varname=\"tau_log__\", combine=False)})\n",
     "\n",
     "    # plot the estimate for the mean of log(τ) cumulating mean\n",
     "    logtau = np.log(trace[\"tau\"])\n",
@@ -1156,7 +1156,7 @@
     }
    ],
    "source": [
-    "pm.summary(longer_trace).round(2)"
+    "az.summary(longer_trace).round(2)"
    ]
   },
   {
@@ -2099,7 +2099,7 @@
     }
    ],
    "source": [
-    "pm.summary(fit_ncp80).round(2)"
+    "az.summary(fit_ncp80).round(2)"
    ]
   },
   {
@@ -2370,7 +2370,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,

Diff for: examples/diagnostics_and_criticism/model_averaging.ipynb

@@ -993,7 +993,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,

Diff for: examples/diagnostics_and_criticism/model_comparison.ipynb

@@ -548,7 +548,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,

Diff for: examples/diagnostics_and_criticism/posterior_predictive.ipynb

@@ -850,7 +850,7 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "pymc3-dev",
+   "display_name": "Python (PyMC3 Dev)",
    "language": "python",
    "name": "pymc3-dev"
   },

Diff for: examples/diagnostics_and_criticism/sampler-stats.ipynb

@@ -549,7 +549,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,

Diff for: examples/getting_started.ipynb

@@ -3788,7 +3788,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,