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In this short how-to article, we will learn how to rename a column in Pandas and PySpark DataFrames.
The rename function can be used for renaming the columns.
# Rename one columns df = df.rename(columns={"date": "purchase_date"}) # Rename multiple columns df = df.rename(columns={"date": "purchase_date", "qty": "quantity"})
Or, using the inplace parameter:
df.rename(columns={"date": "purchase_date"}, inplace=True)
The withColumnRenamed function is used for renaming columns in a PySpark DataFrame.
# Rename one column df = df.withColumnRenamed("date", "purchase_date") # Multiple columns df = df.withColumnRenamed("date", "purchase_date").withColumnRenamed("qty", "quantity")
