Show distinct column values in pyspark dataframe - Stack Overflow With pyspark dataframe, how do you do the equivalent of Pandas df['col'] unique() I want to list out all the unique values in a pyspark dataframe column Not the SQL type way (registertemplate the
pyspark : NameError: name spark is not defined Alternatively, you can use the pyspark shell where spark (the Spark session) as well as sc (the Spark context) are predefined (see also NameError: name 'spark' is not defined, how to solve?)
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: df columns =