title: Pandas filter for column names using multiple like criteria
body: <p>I would like to use the simplicity of pandas dataframe filter but using multiple <code>LIKE</code> criteria. I have many columns in a dataframe that I would like to organize the column headers into different lists.</p>
  <p>For example - any column titles containing &quot;time&quot;.</p>
  <pre><code>df.filter(like='time',axis=1)``
  </code></pre>
  <p>And then any columns containing either &quot;mins&quot; or &quot;secs&quot;. But how do I allow for multiple criteria in this simple, clean statement? I've tried many iterations of something like this, is there a way to do so or this statement does not allow for it? If not, other simple, clean approaches are welcome!</p>
  <pre><code>df.filter(like=('mins','secs'),axis=1)
  </code></pre>