Merge pull request #266 from hosseinmoein/Hossein/Normalize

Generalizing Normalization

docs/HTML/DataFrame.html

@@ -1,4 +1,4 @@
-//<!--
+<!--
 Copyright (c) 2019-2026, Hossein Moein
 All rights reserved.
 Redistribution and use in source and binary forms, with or without
@@ -1231,6 +1231,10 @@ <H2><font color="blue">API Reference with code samples</font></H2>
       <td title="NaN policies">enum class <a href="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/nan_policy.html">nan_policy</a>{  }</td>
     </tr>
 
+    <tr class="item" onmouseover="this.style.backgroundColor='#ffff66';" onmouseout="this.style.backgroundColor='#d4e3e5';">
+      <td title="Normalization types">enum class <a href="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/NormalizeVisitor.html">normalization_type</a>{  }</td>
+    </tr>
+
     <tr class="item" onmouseover="this.style.backgroundColor='#ffff66';" onmouseout="this.style.backgroundColor='#d4e3e5';">
       <td title="Pattern types">enum class <a href="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/pattern_spec.html">pattern_spec</a>{  }</td>
     </tr>

docs/HTML/MeanVisitor.html

@@ -134,7 +134,8 @@
       <td>
         This functor class calculates quadratic mean or root mean square. It gives a greater weight to larger items and is always equal to or greater than the “regular” arithmetic mean<BR>
         The mean is calculated as &radic;<span style="text-decoration:overline;">(X0<sup>2</sup> + X1<sup>2</sup> + ... + Xn-1<sup>2</sup>) / n</span><BR>
-        The constructor takes a single optional Boolean argument to whether skip NaN values. The default is True. <BR>
+        The constructor takes a single optional Boolean argument to whether skip NaN values. The default is True.<BR><BR>
+        In addition to <I>get_result()</I>, this visitor also has <I>get_euclidean_norm()</I> that returns &radic;<span style="text-decoration:overline;">X0<sup>2</sup> + X1<sup>2</sup> + ... + Xn-1<sup>2</sup></span><BR>
       </td>
       <td width="12%">
         <B>T</B>: Column data type<BR>