from pyspark.sql.functions import when import pyspark.sql.functions as F # 计算各个数值列的平均值 def mean_of_pyspark_columns(df, numeric_cols): col_with_mean = [] for col in numeric_cols: mean_value = df.select(F.avg(df[col])) avg_col = mean_value.columns[0] res = mean_value....
Concatenate columns TODO from pyspark.sql.functions import concat, col, lit df = auto_df.withColumn( "concatenated", concat(col("cylinders"), lit("_"), col("mpg")) ) # Code snippet result: +---+---+---+---+---+---+---+---+---+---+ | mpg|cylinders|displacement|horsepow...
Concatenate columns TODO from pyspark.sql.functions import concat, col, lit df = auto_df.withColumn( "concatenated", concat(col("cylinders"), lit("_"), col("mpg")) ) # Code snippet result: +---+---+---+---+---+---+---+---+---+---+ | mpg|cylinders|displacement|horsepow...