Convert pyspark string to date format
I have a date pyspark dataframe with a string column in the format of MM-dd-yyyy and I am attempting to convert this into a date column.
apache-spark-sql
How to split Vector into columns – using PySpark
Context: I have a DataFrame with 2 columns: word and vector. Where the column type of “vector” is VectorUDT.
How to add a constant column in a Spark DataFrame?
I want to add a column in a DataFrame with some arbitrary value (that is the same for each row). I get an error when I use withColumn as follows:
How to use JDBC source to write and read data in (Py)Spark?
The goal of this question is to document:
Load CSV file with Spark
I’m new to Spark and I’m trying to read CSV data from a file with Spark.
Here’s what I am doing :
Spark Dataframe distinguish columns with duplicated name
So as I know in Spark Dataframe, that for multiple columns can have the same name as shown in below dataframe snapshot:
How to change a dataframe column from String type to Double type in PySpark?
I have a dataframe with column as String.
I wanted to change the column type to Double type in PySpark.
How to change dataframe column names in pyspark?
I come from pandas background and am used to reading data from CSV files into a dataframe and then simply changing the column names to something useful using the simple command:
How to perform union on two DataFrames with different amounts of columns in spark?
I have 2 DataFrames:
Pyspark: Split multiple array columns into rows
I have a dataframe which has one row, and several columns. Some of the columns are single values, and others are lists. All list columns are the same length. I want to split each list column into a separate row, while keeping any non-list column as is.