SPRKPY1015
pyspark.sql.functions.atanh
Description
Scenario
from pyspark.sql import SparkSession
from pyspark.sql.functions import atanh
spark = SparkSession.builder.getOrCreate()
data = [['V1', 0.14],
['V2', 0.32],
['V3', 0.4],
['V4', -0.36]]
columns = ['Paremeter', 'value']
df = spark.createDataFrame(data, columns)
df_result = df.withColumn("atanh_value", atanh(df["value"]))Additional recommendations
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