You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/12/02 02:16:00 UTC
[jira] [Updated] (SPARK-30082) Zeros are being treated as NaNs
[ https://issues.apache.org/jira/browse/SPARK-30082?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-30082:
---------------------------------
Priority: Major (was: Critical)
> Zeros are being treated as NaNs
> -------------------------------
>
> Key: SPARK-30082
> URL: https://issues.apache.org/jira/browse/SPARK-30082
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.4.4
> Reporter: John Ayad
> Priority: Major
>
> If you attempt to run
> {code:java}
> df = df.replace(float('nan'), somethingToReplaceWith)
> {code}
> It will replace all {{0}} s in columns of type {{Integer}}
> Example code snippet to repro this:
> {code:java}
> from pyspark.sql import SQLContext
> spark = SQLContext(sc).sparkSession
> df = spark.createDataFrame([(1, 0), (2, 3), (3, 0)], ("index", "value"))
> df.show()
> df = df.replace(float('nan'), 5)
> df.show()
> {code}
> Here's the output I get when I run this code:
> {code:java}
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /__ / .__/\_,_/_/ /_/\_\ version 2.4.4
> /_/
> Using Python version 3.7.5 (default, Nov 1 2019 02:16:32)
> SparkSession available as 'spark'.
> >>> from pyspark.sql import SQLContext
> >>> spark = SQLContext(sc).sparkSession
> >>> df = spark.createDataFrame([(1, 0), (2, 3), (3, 0)], ("index", "value"))
> >>> df.show()
> +-----+-----+
> |index|value|
> +-----+-----+
> | 1| 0|
> | 2| 3|
> | 3| 0|
> +-----+-----+
> >>> df = df.replace(float('nan'), 5)
> >>> df.show()
> +-----+-----+
> |index|value|
> +-----+-----+
> | 1| 5|
> | 2| 3|
> | 3| 5|
> +-----+-----+
> >>>
> {code}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org