Merge pull request #193 from tidy-finance/remove-pandas-datareader

remove pandas-datareader from accessing and managing financial data

Author: christophscheuch

_freeze/python/accessing-and-managing-financial-data/execute-results/html.json

@@ -6,6 +6,10 @@
     var hash = window.location.hash.startsWith('#') ? window.location.hash.slice(1) : window.location.hash;
     var redirect = redirects[hash] || redirects[""] || "/";
     window.document.title = 'Redirect to  ' +  redirect;
+    if (!redirects[hash]) {
+      redirect = redirect + window.location.hash;
+    }
+    redirect = redirect + window.location.search;
     window.location.replace(redirect);
   </script>
 </head>

_freeze/r/accessing-and-managing-financial-data/execute-results/html.json

@@ -214,7 +214,7 @@
   </url>
   <url>
     <loc>https://www.tidy-finance.org/python/accessing-and-managing-financial-data.html</loc>
-    <lastmod>2025-09-04T10:41:27.789Z</lastmod>
+    <lastmod>2025-12-07T22:27:22.252Z</lastmod>
   </url>
   <url>
     <loc>https://www.tidy-finance.org/python/changelog.html</loc>
@@ -274,7 +274,7 @@
   </url>
   <url>
     <loc>https://www.tidy-finance.org/r/accessing-and-managing-financial-data.html</loc>
-    <lastmod>2025-09-04T08:29:23.489Z</lastmod>
+    <lastmod>2025-12-07T22:27:49.384Z</lastmod>
   </url>
   <url>
     <loc>https://www.tidy-finance.org/r/changelog.html</loc>

docs/accessing-and-managing-financial-data.html

@@ -241,30 +241,28 @@ We can then use the `httr2` [@httr2] package to request the CSV, extract the dat
 #| message: false
 library(httr2)
 
-cpi_daily <- request(cpi_url) |>
-  req_perform() |>
-  resp_body_string() |>
+resp <- request(cpi_url) |> 
+  req_perform()
+resp_csv <- resp |> 
+  resp_body_string() 
+
+cpi_monthly <- resp_csv |> 
   read_csv() |>
   mutate(
     date = as.Date(observation_date),
     value = as.numeric(.data[[series]]),
     series = series,
     .keep = "none"
-  )
-```
-
-We convert the daily CPI data to monthly because we use the latter in later chapters. 
-
-```{r}
-cpi_monthly <- cpi_daily |>
+  ) |>
+  filter(date >= start_date & date <= end_date) |> 
   mutate(
-    date = floor_date(date, "month"),
-    cpi = value / value[date == max(date)],
-    .keep = "none"
+    cpi = value / value[date == max(date)]
   )
 ```
 
-The `tidyfinance` package can, of course, also fetch the same daily data and many more data series:
+The last line sets the current (latest) price level as the reference price level.
+
+The `tidyfinance` package can, of course, also fetch the same index data and many more data series:
 
 ```{r}
 #| message: false

docs/python/accessing-and-managing-financial-data.html

@@ -145,7 +145,7 @@ statsmodels==0.14.4
 tabulate==0.9.0
 terminado==0.17.1
 threadpoolctl==3.2.0
-tidyfinance==0.1.2
+tidyfinance==0.2.4
 tinycss2==1.2.1
 tomli==2.0.1
 tornado==6.3.3