Nota
L-aċċess għal din il-paġna jeħtieġ l-awtorizzazzjoni. Tista’ tipprova tidħol jew tibdel id-direttorji.
L-aċċess għal din il-paġna jeħtieġ l-awtorizzazzjoni. Tista’ tipprova tibdel id-direttorji.
An expression that returns true if the column is NaN. Supports Spark Connect.
For the corresponding Databricks SQL function, see isnan function.
Syntax
from pyspark.sql import functions as dbf
dbf.isnan(col=<col>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or str |
Target column to compute on. |
Returns
pyspark.sql.Column: True if value is NaN and False otherwise.
Examples
from pyspark.sql import functions as dbf
df = spark.createDataFrame([(1.0, float('nan')), (float('nan'), 2.0)], ("a", "b"))
df.select("*", dbf.isnan("a"), dbf.isnan(df.b)).show()
+---+---+--------+--------+
| a| b|isnan(a)|isnan(b)|
+---+---+--------+--------+
|1.0|NaN| false| true|
|NaN|2.0| true| false|
+---+---+--------+--------+