title: pandas: How to transform all numeric columns of a data frame into logarithms
body: <p>In R I can apply a logarithmic (or square root, etc.) transformation to all numeric columns of a data frame, by using:</p>
  
  <pre><code>logdf &lt;- log10(df)
  </code></pre>
  
  <p>Is there something equivalent in Python/Pandas? I see that there is a "transform" and an (R-like) "apply" function, but could not figure out how to use them in this case.</p>
  
  <p>Thanks for any hints or suggestions. </p>