To drop a column in a PySpark DataFrame, you can use the drop method.
This method takes two arguments:
col: The name of the column you want to drop.
axis: The axis along which you want to drop the column.
In this case, you should set axis=1 to indicate that you want to drop a column.
Here's an example of how you can use the drop method to drop a column in a
PySpark DataFrame:
from pyspark.sql import SparkSession
# Create a SparkSession
spark = SparkSession.builder.appName("Drop Column").getOrCreate()
# Load a DataFrame
df = spark.read.csv("path/to/data.csv", header=True)
# Drop a column
df = df.drop("col_name", axis=1)
This will drop the column with the name "col_name" from the DataFrame.
If you want to drop multiple columns, you can pass a list of column names
to the col argument.
df = df.drop(["col_name_1", "col_name_2"], axis=1)
Keep in mind that the drop method returns a new DataFrame with the specified
column(s) removed. It does not modify the original DataFrame.