title: invalid literal for int() with base 10: '100,000'
body: <p>I ran:</p>
  <pre><code>df_new['product_count']=df_new.product_count.astype(int)
  </code></pre>
  <p>And got this error message:</p>
  <pre><code>ValueError                                Traceback (most recent call last)
  &lt;ipython-input-210-d9dc69e3d064&gt; in &lt;module&gt;()
  ----&gt; 1 df_new['product_count']=df_new.product_count.astype(str).astype(int)
  
  7 frames
  /usr/local/lib/python3.7/dist-packages/pandas/_libs/lib.pyx in pandas._libs.lib.astype_intsafe()
  
  ValueError: invalid literal for int() with base 10: '100,000'
  </code></pre>