Pastaba.
Prieigai prie šio puslapio reikalingas įgaliojimas. Galite bandyti prisijungti arba pakeisti katalogus.
Prieigai prie šio puslapio reikalingas įgaliojimas. Galite bandyti pakeisti katalogus.
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.databricks.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.databricks.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|
+---+---+--------+--------+