title: limiting the number of decimal places in python pandas table
body: <p>I was trying to rewrite a CSV file using pandas module in python. I tried to multiply the first column (excluding the title) by 60 as below,</p>
  <pre><code> f=001.csv
   Urbs_Data=pd.read_csv(f,header=None)
   Urbs_Data=Urbs_Data.replace(&quot;Time_hrs&quot;,&quot;Time_min&quot;)
   Urbs_Data.loc[1:,0]=Urbs_Data.loc[1:,0].astype(float)
   Urbs_Data.loc[1:,0]*=60
  </code></pre>
  <p>It gives me some funny number for the first column, as</p>
  <blockquote>
  <p>124.98000000000002,462.67</p>
  <p>130.01999999999998,460.34</p>
  <p>135.0,454.36</p>
  <p>139.98000000000002,443.29</p>
  </blockquote>
  <p>Is there any way to limit the number of decimal places for those numbers (to 2)? I tried to use the normal round function, it does not work for me.</p>