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...
df.columns = new_column_name_list 然而,使用sqlContext创建的PySpark数据框不适用于相同的方法。我能想到的唯一解决办法如下: df = sqlContext.read.format("com.databricks.spark.csv").options(header='false', inferschema='true', delimiter='\t').load("data.txt") oldSchema = df.schema for i,k...
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
• Python Pandas - Find difference between two data frames • Pandas get the most frequent values of a column • Display all dataframe columns in a Jupyter Python Notebook • How to convert column with string type to int form in pyspark data frame? • Display/Print one column from...
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, …]...
Use DataFrame.rename_axis() to add/rename the column Index. Above DataFrame doesn’t have an Index name and will use this method to add an index label first. Note that this method by default returns a new DataFrame after adding an Index. Use inplace=False to update the existing DataFrame...
In Spark withColumnRenamed() is used to rename one column or multiple DataFrame column names. Depends on the DataFrame schema, renaming columns might get