title: CSV cannot be interpreted by numeric values
body: <p>(This is a mix between code and 'user' issue, but since i suspect the issue is code, i opted to post in StackOverflow instead of SuperUser Exchange).</p>
  <p>I generated a .csv file with <code>pandas.DataFrame.to_csv()</code> method. This file consists in 2 columns: one is a label (text) and another is a numeric value called accuracy (float). The delimiter used to separate columns is comma (,) and all float values are stored with dot ponctuation like this: 0.9438245862</p>
  <p>Even saving this column as float, Excel and Google Sheets infer its type as text. And when i try to format this column as number, they ignore &quot;0.&quot; and return a very high value instead of decimals like:</p>
  <p>(text) 0.9438245862       =&gt;   (number) 9438245862,00</p>
  <p>I double-checked my .csv file reimporting it again with <code>pandas.read_csv()</code> and printing <code>dataframe.dtypes</code> and the column is imported as float succesfully.</p>
  <p>I'd thank for some guidance on what am i missing.</p>
  <p>Thanks,</p>