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 ...
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...
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 like to rename and the value would be your preferred column name. # Rename single specific column df.rename(column...
DataFrame,如果 inplace 为True,则为 None。 注意: DataFrame.rename_axis 支持两种调用约定 (index=index_mapper, columns=columns_mapper, ...) (mapper, axis={'index', 'columns'}, ...) 第一个调用约定只会修改索引的名称和/或作为列的索引对象的名称。 第二个调用约定将修改axis指定的相应索引的名称...