title: Floats in a csv are automatically rounded in Pandas
body: <p>When I open a csv file in Python using Pandas, the float values of the last column are rounded. </p>
  
  <pre><code>ColA    Timestamp           Value             
  1     06:40:00                 33.48     
  2     06:29:00                 38.65          
  3     07:05:00                 56.77  
  4     06:43:00                 80.81   
  
  ColA,"Timestamp","Value"
  1,"06:40:00","33.48"
  2,"06:29:00","38.65"
  3,"07:05:00","56.77"
  4,"06:43:00","80.81"
  
  </code></pre>
  
  <p>Instead I get:</p>
  
  <pre><code>ColA    Timestamp           Value             
  1     06:40:00                 33     
  2     06:29:00                 39          
  3     07:05:00                 57  
  4     06:43:00                 81   
  </code></pre>
  
  <p>I simply used:</p>
  
  <pre><code>
  df = pd.read_csv("C://Users//me//Downloads//file.csv", delimiter = ",", float_precision="high")
  
  </code></pre>
  
  <p>I tried removing the last parameter, but nothing changes.</p>