Add punctuation to WorkingWithInferenceData.ipynb (#2436)

Author: star1327p

doc/source/getting_started/WorkingWithInferenceData.ipynb

@@ -4913,10 +4913,10 @@
    "metadata": {},
    "source": [
     "You can also use {meth}`xarray.Dataset.stack` if you only want to combine the chain and draw dimensions. {func}`arviz.extract` is a convenience function aimed at taking care of the most common subsetting operations with MCMC samples. It can:\n",
-    "- Combine chains and draws\n",
-    "- Return a subset of variables (with optional filtering with regular expressions or string matching)\n",
-    "- Return a subset of samples. Moreover by default it returns a random subset to prevent getting non-representative samples due to bad mixing.\n",
-    "- Access any group"
+    "- Combine chains and draws.\n",
+    "- Return a subset of variables (with optional filtering with regular expressions or string matching).\n",
+    "- Return a subset of samples. Moreover, by default it returns a random subset to prevent getting non-representative samples due to bad mixing.\n",
+    "- Access any group."
    ]
   },
   {
@@ -5573,7 +5573,7 @@
    "metadata": {},
    "source": [
     ":::{tip}\n",
-    "Use a random seed to get the same subset from multiple groups: `az.extract(idata, num_samples=100, rng=3)` and `az.extract(idata, group=\"log_likelihood\", num_samples=100, rng=3)` will continue to have matching samples\n",
+    "Use a random seed to get the same subset from multiple groups: `az.extract(idata, num_samples=100, rng=3)` and `az.extract(idata, group=\"log_likelihood\", num_samples=100, rng=3)` will continue to have matching samples.\n",
     ":::"
    ]
   },
@@ -5642,7 +5642,7 @@
    "source": [
     "## Get coordinate values\n",
     "\n",
-    "What are the names of the groups in our hierarchical model? You can access them from the coordinate name `school` in this case"
+    "What are the names of the groups in our hierarchical model? You can access them from the coordinate name `school` in this case:"
    ]
   },
   {
@@ -17648,7 +17648,7 @@
     "\n",
     "You can use xarray for these pushforward operations and store them as a new variable in the posterior group. You'll then be able to plot them with ArviZ functions, calculate stats and diagnostics on them (like the {func}`~arviz.mcse`) or save and share the inferencedata object with the pushforward quantities included. \n",
     "\n",
-    "Compute the rolling mean of $\\log(\\tau)$ with {meth}`xarray.DataArray.rolling`, storing the result in the posterior"
+    "Compute the rolling mean of $\\log(\\tau)$ with {meth}`xarray.DataArray.rolling`, storing the result in the posterior:"
    ]
   },
   {
@@ -17701,7 +17701,7 @@
     "```\n",
     ":::\n",
     "\n",
-    "The `theta_shool_diff` variable in the posterior has kept the named dimensions and coordinates:"
+    "The `theta_school_diff` variable in the posterior has kept the named dimensions and coordinates:"
    ]
   },
   {
@@ -18641,7 +18641,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "For more advanced subsetting (the equivalent to what is sometimes called \"fancy indexing\" in NumPy) you need to provide the indices as {class}`~xarray.DataArray` objects:"
+    "For more advanced subsetting (the equivalent to what is sometimes called \"fancy indexing\" in NumPy), you need to provide the indices as {class}`~xarray.DataArray` objects:"
    ]
   },
   {
@@ -19093,7 +19093,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Using lists or NumPy arrays instead of DataArrays does colum/row based indexing. As you can see, the result has 9 values of `theta_shool_diff` instead of the 3 pairs of difference we selected in the previous cell:"
+    "Using lists or NumPy arrays instead of DataArrays does colum/row based indexing. As you can see, the result has 9 values of `theta_school_diff` instead of the 3 pairs of difference we selected in the previous cell:"
    ]
   },
   {
@@ -19550,7 +19550,11 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "source": [
     "## Add new chains using concat"
    ]
@@ -27957,7 +27961,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can also pass a lambda function in `map`"
+    "You can also pass a lambda function in `map`."
    ]
   },
   {
@@ -32040,7 +32044,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can also add extra coordinates using `map`"
+    "You can also add extra coordinates using `map`."
    ]
   },
   {
@@ -36122,9 +36126,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python [conda env:base] *",
    "language": "python",
-   "name": "python3"
+   "name": "conda-base-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -36136,7 +36140,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.5"
   },
   "varInspector": {
    "cols": {