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...
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', inplace: bool = False, level: Optional[int] = None,...
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 ...
Rename Specific Column Using Dataframe.columns.str.replace() Similar to thereplace()method of strings in Python, pandas Index and Series (object type only) define a (“vectorized”)str.replacemethod for string and regex-based replacement. For example syntax:df.columns.str.replace("Duration","Cour...
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...