| <!DOCTYPE html><html><head><title>R: dropFields</title> |
| <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> |
| <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> |
| <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.15.3/dist/katex.min.css"> |
| <script type="text/javascript"> |
| const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"}; |
| function processMathHTML() { |
| var l = document.getElementsByClassName('reqn'); |
| for (let e of l) { katex.render(e.textContent, e, { throwOnError: false, macros }); } |
| return; |
| }</script> |
| <script defer src="https://cdn.jsdelivr.net/npm/katex@0.15.3/dist/katex.min.js" |
| onload="processMathHTML();"></script> |
| <link rel="stylesheet" type="text/css" href="R.css" /> |
| |
| <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css"> |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script> |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script> |
| <script>hljs.initHighlightingOnLoad();</script> |
| </head><body><div class="container"> |
| |
| <table style="width: 100%;"><tr><td>dropFields {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table> |
| |
| <h2>dropFields</h2> |
| |
| <h3>Description</h3> |
| |
| <p>Drops fields in a struct <code>Column</code> by name. |
| </p> |
| |
| |
| <h3>Usage</h3> |
| |
| <pre><code class='language-R'>dropFields(x, ...) |
| |
| ## S4 method for signature 'Column' |
| dropFields(x, ...) |
| </code></pre> |
| |
| |
| <h3>Arguments</h3> |
| |
| <table> |
| <tr style="vertical-align: top;"><td><code>x</code></td> |
| <td> |
| <p>a Column</p> |
| </td></tr> |
| <tr style="vertical-align: top;"><td><code>...</code></td> |
| <td> |
| <p>names of the fields to be dropped.</p> |
| </td></tr> |
| </table> |
| |
| |
| <h3>Note</h3> |
| |
| <p>dropFields since 3.1.0 |
| </p> |
| |
| |
| <h3>Examples</h3> |
| |
| <pre><code class="r">## Not run: |
| ##D df <- select( |
| ##D createDataFrame(iris), |
| ##D alias( |
| ##D struct( |
| ##D column("Sepal_Width"), column("Sepal_Length"), |
| ##D alias( |
| ##D struct( |
| ##D column("Petal_Width"), column("Petal_Length"), |
| ##D alias( |
| ##D column("Petal_Width") * column("Petal_Length"), |
| ##D "Petal_Product" |
| ##D ) |
| ##D ), |
| ##D "Petal" |
| ##D ) |
| ##D ), |
| ##D "dimensions" |
| ##D ) |
| ##D ) |
| ##D head(withColumn(df, "dimensions", dropFields(df$dimensions, "Petal"))) |
| ##D |
| ##D head( |
| ##D withColumn( |
| ##D df, "dimensions", |
| ##D dropFields(df$dimensions, "Sepal_Width", "Sepal_Length") |
| ##D ) |
| ##D ) |
| ##D |
| ##D # This method supports dropping multiple nested fields directly e.g. |
| ##D head( |
| ##D withColumn( |
| ##D df, "dimensions", |
| ##D dropFields(df$dimensions, "Petal.Petal_Width", "Petal.Petal_Length") |
| ##D ) |
| ##D ) |
| ##D |
| ##D # However, if you are going to add/replace multiple nested fields, |
| ##D # it is preferred to extract out the nested struct before |
| ##D # adding/replacing multiple fields e.g. |
| ##D head( |
| ##D withColumn( |
| ##D df, "dimensions", |
| ##D withField( |
| ##D column("dimensions"), |
| ##D "Petal", |
| ##D dropFields(column("dimensions.Petal"), "Petal_Width", "Petal_Length") |
| ##D ) |
| ##D ) |
| ##D ) |
| ## End(Not run) |
| </code></pre> |
| |
| |
| <hr /><div style="text-align: center;">[Package <em>SparkR</em> version 3.2.2 <a href="00Index.html">Index</a>]</div> |
| </div> |
| </body></html> |