Avoid line wrapping in URLs

prof-rossetti · Oct 31, 2024 · 079f719 · 079f719
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commit 079f719
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Showing 4 changed files with 16 additions and 4 deletions.
diff --git a/docs/notes/applied-stats/basic-tests.qmd b/docs/notes/applied-stats/basic-tests.qmd
@@ -16,7 +16,10 @@ For these examples, let's us this familiar example dataset of monthly financial
 ```{python}
 from pandas import read_csv
 
-df = read_csv("https://raw.githubusercontent.com/prof-rossetti/python-for-finance/main/docs/data/monthly-indicators.csv")
+repo_url = "https://raw.githubusercontent.com/prof-rossetti/python-for-finance"
+request_url = f"{repo_url}/main/docs/data/monthly-indicators.csv"
+
+df = read_csv(request_url)
 df.head()
 ```
 

diff --git a/docs/notes/applied-stats/correlation.qmd b/docs/notes/applied-stats/correlation.qmd
@@ -27,7 +27,10 @@ To examine correlation, let's revisit our familiar dataset of economic indicator
 ```{python}
 from pandas import read_csv
 
-df = read_csv("https://raw.githubusercontent.com/prof-rossetti/python-for-finance/main/docs/data/monthly-indicators.csv")
+repo_url = "https://raw.githubusercontent.com/prof-rossetti/python-for-finance"
+request_url = f"{repo_url}/main/docs/data/monthly-indicators.csv"
+
+df = read_csv(request_url)
 df.head()
 ```
 

diff --git a/docs/notes/applied-stats/data-scaling.qmd b/docs/notes/applied-stats/data-scaling.qmd
@@ -18,7 +18,10 @@ To illustrate the motivations behind data scaling, let's revisit our familiar da
 ```{python}
 from pandas import read_csv
 
-df = read_csv("https://raw.githubusercontent.com/prof-rossetti/python-for-finance/main/docs/data/monthly-indicators.csv")
+repo_url = "https://raw.githubusercontent.com/prof-rossetti/python-for-finance"
+request_url = f"{repo_url}/main/docs/data/monthly-indicators.csv"
+
+df = read_csv(request_url)
 df.head()
 ```
 

diff --git a/docs/notes/applied-stats/summary-stats.qmd b/docs/notes/applied-stats/summary-stats.qmd
@@ -16,7 +16,10 @@ Let's consider this example dataset of monthly financial and economic indicators
 ```{python}
 from pandas import read_csv
 
-df = read_csv("https://raw.githubusercontent.com/prof-rossetti/python-for-finance/main/docs/data/monthly-indicators.csv")
+repo_url = "https://raw.githubusercontent.com/prof-rossetti/python-for-finance"
+request_url = f"{repo_url}/main/docs/data/monthly-indicators.csv"
+
+df = read_csv(request_url)
 df.head()
 ```