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...
本文简要介绍 pyspark.pandas.DataFrame.rename 的用法。 用法: DataFrame.rename(mapper: Union[Dict, Callable[[Any], Any], None] = None, index: Union[Dict, Callable[[Any], Any], None] = None, columns: Union[Dict, Callable[[Any], Any], None] = None, axis: Union[int, str] = 'index...
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 ...
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 DataFrame import pandas as pd technologies = { 'Courses':["Spark","PySpark","Python","pandas"], 'Fee' ...
本文簡要介紹 pyspark.pandas.DataFrame.rename 的用法。 用法: DataFrame.rename(mapper: Union[Dict, Callable[[Any], Any], None] = None, index: Union[Dict, Callable[[Any], Any], None] = None, columns: Union[Dict, Callable[[Any], Any], None] = None, axis: Union[int, str] = 'index...
本文简要介绍 pyspark.pandas.DataFrame.rename_axis 的用法。 用法: DataFrame.rename_axis(mapper: Union[Any, Sequence[Any], Dict[Union[Any, Tuple[Any, …]], Any], Callable[[Union[Any, Tuple[Any, …]]], Any]] = None, index: Union[Any, Sequence[Any], Dict[Union[Any, Tuple[Any, …]...
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...