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 ...
df.rename(columns={"OldName":"NewName"}) Therename()function returns a new DataFrame with renamed axis labels (i.e. the renamed columns or rows depending on usage). To modify the DataFrame in-place set the argumentinplacetoTrue. # Using rename() function df.rename(columns = {'Fee': ...
Apply the casting method with DataType on the column: import org.apache.spark.sql.types.IntegerType val df2 = df.withColumn("yearTmp", df.year.cast(IntegerType)) .drop("year") .withColumnRenamed("yearTmp", "year") If you are using SQL expressions you can also do: val df2 = df.sele...
We create the buckets needed for the raw data file, name file, and renamed data file. The following code parameterizes the names of the bucket so you can change them if you need to when deploying the template: Parameters: FileLandingBucketParameter: ...
, 1 We can not. A column family cannot be renamed. The common approach to rename a family is to create a new family with the desired name and copy the data over, using the API. Reference Hbase - The Definitve Guide. Share Improve this answer answered May 6, 2017 at 5:54 seshadri...
Syntax for PYSPARK with Column Renamed The syntax for PYSPARK With Column RENAMED function is:- data1=[{'Name':'Jhon','ID':21.528,'Add':'USA'},{'Name':'Joe','ID':3.69,'Add':'USA'},{'Name':'Tina','ID':2.48,'Add':'IND'},{'Name':'Jhon','ID':22.22,'Add':'USA'},{'Na...
df_renamed = df.withColumnRenamed(“name to update”, “new_column”) Conclusion Here, I have covered updating a PySpark DataFrame Column values, updating values based on condition, changing the data type, and updating using SQL expression. ...