So first, Convert PySpark DataFrame to RDD using df.rdd, apply the map() transformation which returns an RDD and Convert RDD to DataFrame back, let’s see with an example.
28.10.2016 · PySpark - Select rows where the column has non-consecutive values after grouping -1 How to add a column to a pyspark dataframe which contains the mean of one based on the grouping on another column
01.12.2021 · To Solve 'DataFrame' object has no attribute 'withColumn' Error Because you are setting these up as Pandas DataFrames and not Spark DataFrames
05.08.2018 · Pyspark issue AttributeError: 'DataFrame' object has no attribute 'saveAsTextFile'. My first post here, so please let me know if I'm not following protocol. I have written a pyspark.sql query as shown below. I would like the query results to be sent to a textfile but I get the error: Can someone take a look at the code and let me know where I'm ...
It is not very clear what you are trying to do; the first argument of withColumn should be a dataframe column name, either an existing one (to be modified) or a new one (to be created), while (at least in your version 1) you use it as if results.inputColums were already a column (which is not).. In any case,casting a string to double type is straighforward; here is a toy example:
10.07.2019 · type (df) To use withColumn, you would need Spark DataFrames. If you want to convert the DataFrames, use this: import pyspark from pyspark.sql import SparkSession import pandas as pd spark = SparkSession.builder.appName ('pandasToSparkDF').getOrCreate () df = spark.createDataFrame (pd_df1) Share.