Cleaned up sorting bits

palewire · Feb 26, 2022 · dea0b51 · dea0b51
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diff --git a/docs/src/index.md b/docs/src/index.md
@@ -36,7 +36,7 @@ columns
 filters
 merge
 totals
-sort_values/index
+sorting
 groupby/index
 compute
 remix/index

diff --git a/docs/src/sort_values/index.md → docs/src/sorting.md b/docs/src/sort_values/index.md → docs/src/sorting.md
@@ -11,14 +11,14 @@ kernelspec:
   name: python3
 ---
 
-```{include} ../_templates/nav.html
+```{include} ./_templates/nav.html
 ```
 
 # Sorting
 
 Another simple but common technique for analyzing data is sorting.
 
-What were the ten biggest contributions? We can find the answer by using the [sort_values] method to rearrange our list using the amount field.
+What were the ten biggest contributions? We can find the answer by using the [`sort_values`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sort_values.html) method to rearrange our list using the `amount` field.
 
 ```{code-cell}
 :tags: [hide-cell]
@@ -42,28 +42,26 @@ Note that returns the DataFrame resorted in ascending order from lowest to highe
 
 To answer our question you'll need to reverse that, so that values are sorted in descending order from biggest to smallest.
 
-It's a little tricky at first, but here's how to do it with sort_values.
+It's a little tricky at first, but here's how to do it with `sort_values`.
 
 ```{code-cell}
 merged_prop.sort_values("amount", ascending=False)
 ```
 
-You can limit the result to the top five by chaining the head method at the end.
+You can limit the result to the top five by chaining the `head` method at the end.
 
 ```{code-cell}
 merged_prop.sort_values("amount", ascending=False).head()
 ```
 
-We can now use the new variable to rank the five biggest supporting contributions by using sort_values again.
+We can now use the `support` DataFrame to rank the five biggest supporting contributions by using `sort_values` again.
 
 ```{code-cell}
 support.sort_values("amount", ascending=False).head()
 ```
 
-And now how about the opposition.
+And now how about the opposition with the `oppose` DataFrame.
 
 ```{code-cell}
 oppose.sort_values("amount", ascending=False).head()
 ```
-
-[sort_values]: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sort_values.html