title: How to get rid of the row wrapper object in pyspark dataframes without using RDD api?
body: <p>I'm issuing the following SQL statement against a tempview</p>
  
  <pre><code>cloudantdata.createOrReplaceTempView("washingflat")
  
  sqlDF = spark.sql("SELECT temperature FROM washingflat")
  sqlDF.rdd.map(lambda row : row.temperature).collect()
  </code></pre>
  
  <p>I'm just interested in the plain (unwrapped) integer values. All I've tried so far with the dataframe API always returned Row-objects wrapping the values I'm interested in.</p>
  
  <p>Is there a way to get the scalar contents without using the RDD api?</p>