title: Removing an empty row from pandas dataframe
body: <p>I am using <a href="https://labs.semanticscholar.org/corpus/" rel="nofollow noreferrer">this dataset</a> and reading it through pandas dataframe. I need to work with the <code>paperAbsrtract</code> column only which has some missing data.</p>
  
  <pre><code>filename = "sample-S2-records"
  df = pd.read_json(filename, lines=True) 
  abstract = df['paperAbstract']
  </code></pre>
  
  <p>Because there are some missing data in the <code>abstract</code> dataframe, I want to remove those rows that are empty. So following the <a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.dropna.html" rel="nofollow noreferrer">documentation</a>, I do below </p>
  
  <pre><code>abstract.dropna(how='all')
  </code></pre>
  
  <p>But this doesn't remove those empty rows. They are still there in the <code>abstract</code> dataframe. What am I missing?</p>