Documentation tweaks

Author: jnothman

doc/source/style.ipynb

@@ -4,11 +4,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# HTML Styling\n",
+    "# Styling\n",
     "\n",
     "*New in version 0.17.1*\n",
     "\n",
-    "<p style=\"color: red\">*Provisional: This is a new feature and still under development. We'll be adding features and possibly making breaking changes in future releases. We'd love to hear your feedback.*<p style=\"color: red\">\n",
+    "<span style=\"color: red\">*Provisional: This is a new feature and still under development. We'll be adding features and possibly making breaking changes in future releases. We'd love to hear your feedback.*</span>\n",
     "\n",
     "This document is written as a Jupyter Notebook, and can be viewed or downloaded [here](http://nbviewer.ipython.org/github/pandas-dev/pandas/blob/master/doc/source/html-styling.ipynb).\n",
     "\n",
@@ -233,7 +233,7 @@
    "source": [
     "Above we used `Styler.apply` to pass in each column one at a time.\n",
     "\n",
-    "<p style=\"background-color: #DEDEBE\">*Debugging Tip*: If you're having trouble writing your style function, try just passing it into <code style=\"background-color: #DEDEBE\">DataFrame.apply</code>. Internally, <code style=\"background-color: #DEDEBE\">Styler.apply</code> uses <code style=\"background-color: #DEDEBE\">DataFrame.apply</code> so the result should be the same.</p>\n",
+    "<span style=\"background-color: #DEDEBE\">*Debugging Tip*: If you're having trouble writing your style function, try just passing it into <code style=\"background-color: #DEDEBE\">DataFrame.apply</code>. Internally, <code style=\"background-color: #DEDEBE\">Styler.apply</code> uses <code style=\"background-color: #DEDEBE\">DataFrame.apply</code> so the result should be the same.</span>\n",
     "\n",
     "What if you wanted to highlight just the maximum value in the entire table?\n",
     "Use `.apply(function, axis=None)` to indicate that your function wants the entire table, not one column or row at a time. Let's try that next.\n",
@@ -847,11 +847,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Export to Excel\n",
+    "## Export to Excel\n",
     "\n",
     "*New in version 0.20.0*\n",
     "\n",
-    "<p style=\"color: red\">*Experimental: This is a new feature and still under development. We'll be adding features and possibly making breaking changes in future releases. We'd love to hear your [feedback](https://github.com/pandas-dev/pandas/issues).*<p style=\"color: red\">\n",
+    "<span style=\"color: red\">*Experimental: This is a new feature and still under development. We'll be adding features and possibly making breaking changes in future releases. We'd love to hear your feedback.*</span>\n",
     "\n",
     "Some support is available for exporting styled `DataFrames` to Excel worksheets using the `OpenPyXL` engine. CSS2.2 properties handled include:\n",
     "\n",
@@ -886,7 +886,8 @@
    "metadata": {},
    "source": [
     "A screenshot of the output:\n",
-    "<img alt=\"Excel spreadsheet with styled DataFrame\" src=\"_static/style-excel.png\">"
+    "\n",
+    "![Excel spreadsheet with styled DataFrame](_static/style-excel.png)\n"
    ]
   },
   {