deploy: c3dea3c

Author: sababak

_modules/sasctl/pzmm/write_score_code.html

@@ -1090,10 +1090,16 @@ <h1>Source code for sasctl.pzmm.write_score_code</h1><div class="highlight"><pre
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    impute_values = \\\n + {&quot;var1&quot;: 0, &quot;var2&quot;: &quot;&quot;, &quot;var3&quot;: 125.3}</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">score_code</span> <span class="o">+=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="se">\n</span><span class="si">{</span><span class="s1">&#39;&#39;</span><span class="si">:</span><span class="s2">4</span><span class="si">}</span><span class="s2">return data.replace(&#39;           .&#39;, np.nan).fillna(impute_values).apply(pd.to_numeric, errors=&#39;ignore&#39;)</span><span class="se">\n</span><span class="s2">&quot;</span>
-<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">        </span>
-<span class="sd">    return data.replace(&#39;           .&#39;, np.nan).fillna(impute_values).apply(pd.to_numeric, errors=&#39;ignore&#39;)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">score_code</span> <span class="o">+=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s2">&quot;</span><span class="se">\n\n</span><span class="si">{</span><span class="s1">&#39;&#39;</span><span class="si">:</span><span class="s2">4</span><span class="si">}</span><span class="s2"># Specify downcasting behavior for pandas 2.x to avoid warnings</span><span class="se">\n</span><span class="s2">&quot;</span>
+            <span class="o">+</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="s1">&#39;&#39;</span><span class="si">:</span><span class="s2">4</span><span class="si">}</span><span class="s2">if int(pd.__version__.split(&#39;.&#39;)[0]) == 2:</span><span class="se">\n</span><span class="si">{</span><span class="s1">&#39;&#39;</span><span class="si">:</span><span class="s2">8</span><span class="si">}</span><span class="s2">pd.set_option(&#39;future.no_silent_downcasting&#39;, True)</span><span class="se">\n</span><span class="s2">&quot;</span>
+            <span class="o">+</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="s1">&#39;&#39;</span><span class="si">:</span><span class="s2">4</span><span class="si">}</span><span class="s2">return data.replace(r&#39;^</span><span class="se">\\</span><span class="s2">s*</span><span class="se">\\</span><span class="s2">.$&#39;, np.nan, regex=True).fillna(impute_values).infer_objects()</span><span class="se">\n</span><span class="s2">&quot;</span>
+        <span class="p">)</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;      </span>
+<span class="sd">    # Specify downcasting behavior for pandas 2.x to avoid warnings</span>
+<span class="sd">    if int(pd.__version__.split(&#39;.&#39;)[0]) == 2:</span>
+<span class="sd">        pd.set_option(&#39;future.no_silent_downcasting&#39;, True)</span>
+<span class="sd">    return data.replace(r&#39;^\s*\.$&#39;, np.nan, regex=True).fillna(impute_values).infer_objects()</span>
 <span class="sd">        &quot;&quot;&quot;</span>
 
     <span class="c1"># TODO: Needs unit test</span>