title: dtype: float64 0.0 Pandas
body: <p>I am still quite new to Pandas.  So I hope you don’t hold against me.  But I a few interesting questions I want to test.</p>
  
  <p>So I notice</p>
  
  <p><code>dfzaga = df1["GA3334"].replace(',', '.', regex=True).astype(float)</code> create nice numbers</p>
  
  <pre><code>Nice numbers
  38    77.0
  39     NaN
  </code></pre>
  
  <p>So why?</p>
  
  <pre><code>dfz = df1["GA3334"].replace(',', '.', regex=True).astype(float) -df1["GA333"].replace(',', '.', regex=True).astype(float)      
  
  ##
  dfz = df1["GA3334"].replace(',', '.', regex=True).astype(float) + df1["GA333"].replace(',', '.', regex=True).astype(float)                      
  </code></pre>
  
  <p>Produce </p>
  
  <pre><code>dtype: float64
  0     0.0
  1     0.0
  2     0.0
  3     0.0
  4     0.0 
  </code></pre>
  
  <p>Should not Ga333 = 2 and ga3334 = 77 </p>
  
  <pre><code>ga3334 – ga333 = 75
  not 0.0
  </code></pre>