Sometimes Dataframe does not contains header in the column names. Pyspark has union function that helps in stacking one Dataframe below the other. In case Dataframe does not contain header, then it is important to do basic checks before importing.
Tag: Append
Appending is vertically stacking one Dataframe below the other. Appending can be easy if the Dataframes are well structured and has all column names present. In case column name is not present then appending Dataframes can be challenging. It is
Pyspark has capacity to handle big data well. Many a times file can be present in multiple smaller files and not as one single file. Appending helps in creation of single file from multiple available files. Pyspark has function available
Pyspark has union function that helps in stacking one Dataframe below the other. Appending helps in creation of single file from the base multiple file. The variables present in both files should ideally be same and have same formats. This
Append is stacking datafiles one after another. It is a process of vertically stacking Dataframes to create a single large Dataframe. Many a times data is present not as a single file but can be available as multiple files. For
Appending is vertically stacking one Dataframe below the other. This process enables creation of single Dataframe from two Dataframes. The number of columns in the two files shall ideally be same. Also the formats of the columns should be same.