deploy: e312929

diagnostic_functions/index.html

@@ -368,8 +368,9 @@ <h3 id="summary-of-diagnostic-functions">Summary of Diagnostic Functions</h3>
 <li><code>build_outliers_plot_stl(df):</code> Show outliers using Seasonal-Trend Decomposition using LOESS (STL) algorithm.</li>
 <li><code>build_seasonal_plot_stl(df):</code> Build seasonal plots using STL for a given dataframe.</li>
 <li><code>build_outliers_plot_mstl(df):</code> Show outliers using Multiple Seasonal-Trend Decomposition using LOESS (MSTL) algorithm.</li>
+<li><code>build_outliers_plot_esd(df):</code> Build outliers using the Generalized ESD or Seasonal ESD algorithm.</li>
 <li><code>build_seasonal_plot_mstl(df):</code> Build multiple seasonal plots using MSTL for a given dataframe.</li>
-<li><code>build_moving_average_outliers_plot(df):</code> Show outliers using Moving Average and Z-score algorithm.</li>
+<li><code>build_outliers_plot_moving_average(df):</code> Show outliers using Moving Average algorithm.</li>
 <li><code>build_iqr_plot(df):</code> Build IQR plot for a given dataframe (for less than 2 years of data).</li>
 <li><code>build_monthwise_plot(df):</code> Build month-wise plot for a given dataframe.</li>
 <li><code>build_decomposition_results(df):</code> Get seasonal decomposition results for a given dataframe.</li>

outlier_detection_functions/index.html

@@ -370,6 +370,9 @@ <h3 id="summary-of-package-functions">Summary of Package Functions</h3>
 <li><code>detect_outliers_mstl(df):</code> Detect outliers using Multiple Seasonal-Trend Decomposition using LOESS (MSTL).</li>
 <li><code>detect_outliers_today_mstl(df):</code> Detect outliers for the current date using MSTL.</li>
 <li><code>detect_outliers_latest_mstl(df):</code> Detect latest outliers using MSTL.</li>
+<li><code>detect_outliers_esd(df):</code> Detect outliers using the Generalized ESD or Seasonal ESD algorithm.</li>
+<li><code>detect_outliers_today_esd(df):</code> Detect outliers for the current date using ESD algorithm.</li>
+<li><code>detect_outliers_latest_esd(df):</code> Detect latest outliers using ESD algorithm.</li>
 <li><code>detect_outliers_iqr(df):</code> Detect outliers in a time-series dataframe when there's less than 2 years of data.</li>
 <li><code>detect_outliers_moving_average(df):</code> Detect outliers using Moving Average method. </li>
 </ul>

sitemap.xml

@@ -2,18 +2,18 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
     <url>
          <loc>https://www.pycatcher.com/</loc>
-         <lastmod>2024-12-24</lastmod>
+         <lastmod>2024-12-25</lastmod>
     </url>
     <url>
          <loc>https://www.pycatcher.com/diagnostic_functions/</loc>
-         <lastmod>2024-12-24</lastmod>
+         <lastmod>2024-12-25</lastmod>
     </url>
     <url>
          <loc>https://www.pycatcher.com/highlights/</loc>
-         <lastmod>2024-12-24</lastmod>
+         <lastmod>2024-12-25</lastmod>
     </url>
     <url>
          <loc>https://www.pycatcher.com/outlier_detection_functions/</loc>
-         <lastmod>2024-12-24</lastmod>
+         <lastmod>2024-12-25</lastmod>
     </url>
 </urlset>