fix de-duping

Author: JohnMount

README.ipynb

@@ -27,4 +27,4 @@ wvu/util.py         324      7    98%
 TOTAL               328      7    98%
 
 
-============================= 16 passed in 10.38s ==============================
+============================== 16 passed in 9.81s ==============================

coverage.txt

@@ -788,7 +788,7 @@ def threshold_statistics(
     if sorted_frame.shape[0] > 1:
         want_row = [True] + list(
             numpy.array(sorted_frame["threshold"][range(sorted_frame.shape[0]-1)]) 
-                != numpy.array(sorted_frame["threshold"][range(1, sorted_frame.shape[0])])
+                < numpy.array(sorted_frame["threshold"][range(1, sorted_frame.shape[0])])
         )
         sorted_frame = sorted_frame.loc[want_row, :].reset_index(drop=True, inplace=False)
     return sorted_frame

pkg/build/lib/wvu/util.py

@@ -918,7 +918,7 @@ <h1 class="modulename">
 </span><span id="L-788"><a href="#L-788"><span class="linenos">788</span></a>    <span class="k">if</span> <span class="n">sorted_frame</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
 </span><span id="L-789"><a href="#L-789"><span class="linenos">789</span></a>        <span class="n">want_row</span> <span class="o">=</span> <span class="p">[</span><span class="kc">True</span><span class="p">]</span> <span class="o">+</span> <span class="nb">list</span><span class="p">(</span>
 </span><span id="L-790"><a href="#L-790"><span class="linenos">790</span></a>            <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">sorted_frame</span><span class="p">[</span><span class="s2">&quot;threshold&quot;</span><span class="p">][</span><span class="nb">range</span><span class="p">(</span><span class="n">sorted_frame</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="p">)])</span> 
-</span><span id="L-791"><a href="#L-791"><span class="linenos">791</span></a>                <span class="o">!=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">sorted_frame</span><span class="p">[</span><span class="s2">&quot;threshold&quot;</span><span class="p">][</span><span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">sorted_frame</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])])</span>
+</span><span id="L-791"><a href="#L-791"><span class="linenos">791</span></a>                <span class="o">&lt;</span> <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">sorted_frame</span><span class="p">[</span><span class="s2">&quot;threshold&quot;</span><span class="p">][</span><span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">sorted_frame</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])])</span>
 </span><span id="L-792"><a href="#L-792"><span class="linenos">792</span></a>        <span class="p">)</span>
 </span><span id="L-793"><a href="#L-793"><span class="linenos">793</span></a>        <span class="n">sorted_frame</span> <span class="o">=</span> <span class="n">sorted_frame</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">want_row</span><span class="p">,</span> <span class="p">:]</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
 </span><span id="L-794"><a href="#L-794"><span class="linenos">794</span></a>    <span class="k">return</span> <span class="n">sorted_frame</span>
@@ -2578,7 +2578,7 @@ <h6 id="returns">Returns</h6>
 </span><span id="threshold_statistics-789"><a href="#threshold_statistics-789"><span class="linenos">789</span></a>    <span class="k">if</span> <span class="n">sorted_frame</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
 </span><span id="threshold_statistics-790"><a href="#threshold_statistics-790"><span class="linenos">790</span></a>        <span class="n">want_row</span> <span class="o">=</span> <span class="p">[</span><span class="kc">True</span><span class="p">]</span> <span class="o">+</span> <span class="nb">list</span><span class="p">(</span>
 </span><span id="threshold_statistics-791"><a href="#threshold_statistics-791"><span class="linenos">791</span></a>            <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">sorted_frame</span><span class="p">[</span><span class="s2">&quot;threshold&quot;</span><span class="p">][</span><span class="nb">range</span><span class="p">(</span><span class="n">sorted_frame</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="p">)])</span> 
-</span><span id="threshold_statistics-792"><a href="#threshold_statistics-792"><span class="linenos">792</span></a>                <span class="o">!=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">sorted_frame</span><span class="p">[</span><span class="s2">&quot;threshold&quot;</span><span class="p">][</span><span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">sorted_frame</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])])</span>
+</span><span id="threshold_statistics-792"><a href="#threshold_statistics-792"><span class="linenos">792</span></a>                <span class="o">&lt;</span> <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">sorted_frame</span><span class="p">[</span><span class="s2">&quot;threshold&quot;</span><span class="p">][</span><span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">sorted_frame</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])])</span>
 </span><span id="threshold_statistics-793"><a href="#threshold_statistics-793"><span class="linenos">793</span></a>        <span class="p">)</span>
 </span><span id="threshold_statistics-794"><a href="#threshold_statistics-794"><span class="linenos">794</span></a>        <span class="n">sorted_frame</span> <span class="o">=</span> <span class="n">sorted_frame</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">want_row</span><span class="p">,</span> <span class="p">:]</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
 </span><span id="threshold_statistics-795"><a href="#threshold_statistics-795"><span class="linenos">795</span></a>    <span class="k">return</span> <span class="n">sorted_frame</span>

pkg/dist/wvu-0.3.9-py3-none-any.whl

@@ -788,7 +788,7 @@ def threshold_statistics(
     if sorted_frame.shape[0] > 1:
         want_row = [True] + list(
             numpy.array(sorted_frame["threshold"][range(sorted_frame.shape[0]-1)]) 
-                != numpy.array(sorted_frame["threshold"][range(1, sorted_frame.shape[0])])
+                < numpy.array(sorted_frame["threshold"][range(1, sorted_frame.shape[0])])
         )
         sorted_frame = sorted_frame.loc[want_row, :].reset_index(drop=True, inplace=False)
     return sorted_frame