title: Spark : skip top rows with spark-excel
body: <p>I have an excel file with damaged rows on the top (3 first rows) which needs to be skipped, I'm using <a href="https://github.com/crealytics/spark-excel" rel="nofollow noreferrer">spark-excel</a> library to read the excel file, on their github there no such functionality, so is there a way to achieve this?</p>
  
  <p>This my code:</p>
  
  <pre><code>Dataset&lt;Row&gt; ds = session.read().format("com.crealytics.spark.excel")
                                  .option("location", filePath)
                                  .option("sheetName", "Feuil1")
                                  .option("useHeader", "true")
                                  .option("delimiter", "|")
                                  .option("treatEmptyValuesAsNulls", "true")
                                  .option("inferSchema", "true")
                                  .option("addColorColumns", "false")
                                  .load(filePath);
  </code></pre>