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Excel_Read_Multi

Node​

Node Description​

Reads Excel file and uploads processed result to data lake

Ingests one Excel file, which is passed to the user-defined function as a bytes object for processing. The user-defined function returns one or more tables, which are uploaded to the Ganymede data lake.

Node Attributes​

  • input_file_excel
    • File extension for valid Excel files submitted. For example, filling in this attribute with ".xls" will allow any file containing extension .xls, .xlsx, .xlsm, and .xlsb to be uploaded.
  • output_table_results

Notes​

In the execute function, returning NodeReturn(tables_to_upload={'results': df}) would render the DataFrame df in the Flow Editor if Table Head visualization is enabled.

Example​

The Node attribute configuration below captures all files ending in xls, xlsx, xlsm.

  • excel: *.{xls,xlsx,xlsm}
  • results: instrument_output_results

User-Defined Python​

Reads Excel file and stores processed table(s) in data lake.

Parameters​

  • excel_file : bytes | dict[str, bytes]
    • Excel file as a bytes object or as dict indexed by filename
  • ganymede_context : GanymedeContext
    • Ganymede context variable, which stores flow run metadata

Returns​

NodeReturn Object containing data to store in data lake and/or file storage

Notes​

Excel_file is represented in bytes so user can handle cases where Excel spreadsheet is a binary object within this function