pyspark

问题 I have a data frame in PySpark like below. import pyspark.sql.functions as func df = sqlContext.createDataFrame( [(0.0, 0.2, 3.45631), (0.4, 1.4, 2.82945), (0.5, 1.9, 7.76261), (0.6, 0.9, 2.76790), (1.2, 1.0, 9.87984)], ["col1", "col2", "col3"]) df.show() +----+----+-------+ |col1|col2| col3| +----+----+-------+ | 0.0| 0.2|3.45631| | 0.4| 1.4|2.82945| | 0.5| 1.9|7.76261| | 0.6| 0.9| 2.7679| | 1.2| 1.0|9.87984| +----+----+-------+ # round 'col3' in a new column: df2 = df.withColumn("col4",

问题 I have a data frame in PySpark like below. import pyspark.sql.functions as func df = sqlContext.createDataFrame( [(0.0, 0.2, 3.45631), (0.4, 1.4, 2.82945), (0.5, 1.9, 7.76261), (0.6, 0.9, 2.76790), (1.2, 1.0, 9.87984)], ["col1", "col2", "col3"]) df.show() +----+----+-------+ |col1|col2| col3| +----+----+-------+ | 0.0| 0.2|3.45631| | 0.4| 1.4|2.82945| | 0.5| 1.9|7.76261| | 0.6| 0.9| 2.7679| | 1.2| 1.0|9.87984| +----+----+-------+ # round 'col3' in a new column: df2 = df.withColumn("col4",

问题 Context In a recent SO-post, I discovered that using withColumn may improve the DAG when dealing with stacked/chain column expressions in conjunction with distinct windows specifications. However, in this example, withColumn actually makes the DAG worse and differs to the outcome of using select instead. Reproducible example First, some test data (PySpark 2.4.4 standalone): import pandas as pd import numpy as np from pyspark.sql import SparkSession, Window from pyspark.sql import functions as

来源： https://stackoverflow.com/questions/64602777/how-to-aggregate-multiple-columns-and-generate-a-formated-string-in-python

来源： https://stackoverflow.com/questions/64602777/how-to-aggregate-multiple-columns-and-generate-a-formated-string-in-python

来源： https://stackoverflow.com/questions/53053738/how-to-pass-external-configuration-file-to-pysparkspark-2-x-program

来源： https://stackoverflow.com/questions/64548370/convert-xml-file-to-pyspark-dataframe

来源： https://stackoverflow.com/questions/64566730/remove-words-from-pyspark-dataframe-based-on-words-from-another-pyspark-datafram

来源： https://stackoverflow.com/questions/64040759/cannot-resolve-column-name-given-input-columns-sparksql

来源： https://stackoverflow.com/questions/64040759/cannot-resolve-column-name-given-input-columns-sparksql