File Manipulation - Convert CSV

Overview

Convert one or more CSV files into a TSV, PSV, XLSX, Parquet, DTA, or HDF5 file.

The match type selected greatly affects how this Blueprint works.

This Template uses built-in Pandas methods to read in a CSV file and output it as another file type.

Name	Reference	Type	Required	Default	Options	Description
Destination File Format	MANIPULATION_DESTINATION_FILE_FORMAT	Select	✅	`tsv`	Tab-Separated File (.tsv): `tsv` Pipe-Separated File (.psv): `psv` Excel File (.xlsx): `xlsx` Parquet (.parquet): `parquet` Stata (.dta): `stata` HDF5 (.h5): `hdf5`	Type of file that you want the CSV file(s) converted into.
Local Folder Name	MANIPULATION_SOURCE_FOLDER_NAME	Alphanumeric	➖	-	-	Name of the local folder on Platform where the target file lives. If left blank, will look in the home directory.
Local File Name Match Type	MANIPULATION_SOURCE_FILE_NAME_MATCH_TYPE	Select	✅	`exact_match`	Exact Match: `exact_match` Regex Match: `regex_match`	Determines if the text in "Local File Name" will look for one file with exact match, or multiple files using regex.
Local File Name	MANIPULATION_SOURCE_FILE_NAME	Alphanumeric	✅	-	-	Name of the target file on Platform. Can be regex if "Match Type" is set accordingly.
New Folder Name	MANIPULATION_DESTINATION_FOLDER_NAME	Alphanumeric	➖	-	-	Folder where the newly converted file(s) should be created on Platform. Leaving blank will place the file in the home directory. If the folder does not already exist, it will be created.
New File Name	MANIPULATION_DESTINATION_FILE_NAME	Alphanumeric	➖	-	-	What to name the newly converted files on Platform. If left blank, defaults to the original file name(s) with an updated extension based on the selected file format.