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If you want to rename a single column and keep the rest as it is: from pyspark.sql.functions import col new_df = old_df.select(*[col(s).alias(new_name) if s == column_to_change else s for s in old_df.columns])
df = df.groupby('Device_ID').agg(aggregate_methods) for column in df.columns: start_index = column.find('(') end_index = column.find(')') if (start_index and end_index): df = df.withColumnRenamed(column, column[start_index+1:end_index])
pyspark.pandas.DataFrame.rename ¶. 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, errors:str='ignore') → Optional [pyspark.pandas ...
spark.stop() we explored different ways to rename columns in a PySpark DataFrame. We covered the ‘withColumnRenamed’, ‘select’ with ‘alias’, and ‘toDF’ methods, as well as techniques to rename multiple columns at once.
27 mar 2024 · PySpark withColumnRenamed – To rename DataFrame column name. PySpark has a withColumnRenamed() 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 name you wish for.
20 sie 2021 · In today’s short guide we will discuss 4 ways for changing the name of columns in a Spark DataFrame. Specifically, we are going to explore how to do so using: selectExpr() method; withColumnRenamed() method; toDF() method; alias; Spark Session and Spark SQL; and rename one or more columns at a time.
9 sie 2020 · In this article, I will show you how to change column names in a Spark data frame using Python. The frequently used method is withColumnRenamed. Construct a dataframe. The following code snippet creates a DataFrame from a Python native dictionary list.
