diff --git a/doc/source/user_guide/style.ipynb b/doc/source/user_guide/style.ipynb
index a67bac0c65462..f756e9713bc79 100644
--- a/doc/source/user_guide/style.ipynb
+++ b/doc/source/user_guide/style.ipynb
@@ -1,21 +1,24 @@
 {
  "cells": [
   {
-   "cell_type": "markdown",
-   "metadata": {},
+   "cell_type": "raw",
+   "metadata": {
+    "raw_mimetype": "text/restructuredtext"
+   },
    "source": [
-    "# Styling\n",
+    "Styling\n",
+    "=======\n",
     "\n",
     "This document is written as a Jupyter Notebook, and can be viewed or downloaded [here](https://nbviewer.ipython.org/github/pandas-dev/pandas/blob/master/doc/source/user_guide/style.ipynb).\n",
     "\n",
     "You can apply **conditional formatting**, the visual styling of a DataFrame\n",
-    "depending on the data within, by using the ``DataFrame.style`` property.\n",
-    "This is a property that returns a ``Styler`` object, which has\n",
+    "depending on the data within, by using the :attr:`pandas.DataFrame.style` property.\n",
+    "This is a property that returns a :class:`~pandas.io.formats.style.Styler` object, which has\n",
     "useful methods for formatting and displaying DataFrames.\n",
     "\n",
     "The styling is accomplished using CSS.\n",
-    "You write \"style functions\" that take scalars, `DataFrame`s or `Series`, and return *like-indexed* DataFrames or Series with CSS `\"attribute: value\"` pairs for the values.\n",
-    "These functions can be incrementally passed to the `Styler` which collects the styles before rendering.\n",
+    "You write \"style functions\" that take scalars, :attr:`~pandas.DataFrame`\\ s or :attr:`~pandas.Series`, and return *like-indexed* DataFrames or Series with CSS `\"attribute: value\"` pairs for the values.\n",
+    "These functions can be incrementally passed to the :class:`~pandas.io.formats.style.Styler` which collects the styles before rendering.\n",
     "\n",
     "CSS is a flexible language and as such there may be multiple ways of achieving the same result, with potential\n",
     "advantages or disadvantages, which we try to illustrate."
@@ -1421,6 +1424,7 @@
   }
  ],
  "metadata": {
+  "celltoolbar": "Raw Cell Format",
   "kernelspec": {
    "display_name": "Python 3",
    "language": "python",
@@ -1436,7 +1440,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.6"
+   "version": "3.7.4"
   }
  },
  "nbformat": 4,