We can change the column name in the PySpark DataFrame using this method. Syntax: dataframe.withColumnRenamed(“old_column “,”new_column”) Parameters: old_column is the existing column new_column is the new column that replaces the old_column Example: In this example, we are replacing the...
1. PySpark withColumnRenamed – To rename DataFrame column name PySpark has awithColumnRenamed()function on DataFrame to change a column name. This is the most straight forward approach; this function takes two parameters; the first is your existing column name and the second is the new column ...
and renaming all columns, etc. We are often required to change the column name of the DataFrame before we perform any operations. In fact, changing the name of a column is one of the most searched and used functions of
In PySpark, melt is an alias for unpivot "melt" also means nothing to me tbh 😄 I'm not usually a fan of aliases, but maybe here it'd be OK, given the PySpark precedent and the desire to cater to users coming from a variety of backgrounds (pandas, R, pyspark, duckdb) I'd rat...
Now, let’screate a DataFramewith a few rows and columns, execute these examples, and validate the results. Our DataFrame contains column namesCourses,Fee,Duration, andDiscount. # Create DataFrameimportpandasaspd technologies={'Courses':["Spark","PySpark","Python","pandas"],'Fee':[20000,25000...
r2 PySpark 25000 40days 2300 r3 Python 22000 35days 1200 r4 pandas 30000 50days 2000 Rename Single Specific Column DataFrame.rename()accepts a dictionary as a parameter for columns you want to rename. So you just pass a dict with a key-value pair; the key is an existing column you would...