Category: Warning.
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"]))
SMA returns the EWI SPRKPY1015 over the line where atanh is used, so you can use to identify where to fix.
from snowflake.snowpark import Session
spark = Session.builder.getOrCreate()
spark.update_query_tag({"origin":"sf_sit","name":"sma","version":{"major":0,"minor":0,"patch":0},"attributes":{"language":"Python"}})
data = [['V1', 0.14],
['V2', 0.32],
['V3', 0.4],
['V4', -0.36]]
columns = ['Paremeter', 'value']
df = spark.createDataFrame(data, columns)
#EWI: SPRKPY1015 => pyspark.sql.functions.atanh has a workaround, see documentation for more info
df_result = df.withColumn("atanh_value", atanh(df["value"]))
import snowflake.snowpark as snowpark
from snowflake.snowpark import Session
from snowflake.snowpark.functions import call_function, col
spark = Session.builder.getOrCreate()
spark.update_query_tag({"origin":"sf_sit","name":"sma","version":{"major":0,"minor":0,"patch":0},"attributes":{"language":"Python"}})
data = [['V1', 0.14],
['V2', 0.32],
['V3', 0.4],
['V4', -0.36]]
columns = ['Paremeter', 'value']
df = spark.createDataFrame(data, columns)
df_result = df.select(call_function('atanh', col('value')))