Minor adjustments to sphinx docs

hudson-and-thames · Jun 23, 2021 · a7be6e6 · a7be6e6
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diff --git a/docs/source/distance_approach/pearson_approach.rst b/docs/source/distance_approach/pearson_approach.rst
@@ -205,7 +205,12 @@ The following research notebook can be used to better understand the Pearson app
 
 * `Pearson Distance Approach`_
 
-.. _`Pearson Distance Approach`: https://github.com/Hudson-and-Thames-Clients/arbitrage_research/blob/master/Distance%20Approach/basic_distance_approach.ipynb
+.. _`Pearson Distance Approach`: https://hudsonthames.org/notebooks/arblab/pearson_distance_approach.html
+
+.. raw:: html
+
+    <a href="https://hudthames.tech/3gCzomb"><button style="margin: 20px; margin-top: 0px">Download Notebook</button></a>
+    <a href="https://hudthames.tech/2S03R58"><button style="margin: 20px; margin-top: 0px">Download Sample Data</button></a>
 
 References
 ##########

diff --git a/docs/source/hedge_ratios/hedge_ratios.rst b/docs/source/hedge_ratios/hedge_ratios.rst
@@ -77,7 +77,8 @@ Examples
     # Importing packages
     import pandas as pd
     import numpy as np
-    from arbitragelab.hedge_ratios import get_ols_hedge_ratio, get_tls_hedge_ratio, get_minimum_hl_hedge_ratio
+    from arbitragelab.hedge_ratios import (get_ols_hedge_ratio, get_tls_hedge_ratio,
+                                           get_minimum_hl_hedge_ratio)
 
     # Getting the dataframe with time series of asset prices
     data = pd.read_csv('X_FILE_PATH.csv', index_col=0, parse_dates = [0])