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Extract data from Excel sheets by specifying rows/columns, automating retrieval to save time and reduce errors.
The ReadExcelData
node is designed to facilitate the extraction of data from Excel spreadsheets, allowing you to specify a particular range of rows and columns to read. This node is particularly useful for those who need to process or analyze data stored in Excel files without manually opening and navigating through the spreadsheet. By automating the data retrieval process, it saves time and reduces the potential for human error. The node reads the specified data range and returns it in a structured format, making it easy to integrate with other processes or applications. This capability is essential for tasks that involve data analysis, reporting, or any scenario where Excel data needs to be programmatically accessed and utilized.
This parameter specifies the file path to the Excel file you wish to read. It is crucial as it directs the node to the correct file location. The default value is "path/to/your/file.xlsx"
, and it must be a valid path to an existing Excel file.
This parameter indicates the name of the sheet within the Excel file from which data will be read. It allows you to target specific sheets in a workbook. The default value is "Sheet1"
, and it should match the exact name of the sheet in the Excel file.
This parameter defines the range of rows to be read from the specified sheet. You can specify a single row or a range using a hyphen (e.g., "2-3"
). The default value is "2-3"
, and it ensures that only the desired rows are processed.
This parameter specifies the range of columns to be read from the sheet. Similar to row_range
, you can define a single column or a range using a hyphen (e.g., "1-4"
). The default value is "1-4"
, allowing you to focus on specific columns of interest.
The output is a single string that contains the data read from the specified Excel range. Each row of data is separated by a newline character, and within each row, cell values are separated by a pipe (|
) character. This format makes it easy to parse and use the data in subsequent processes or applications.
excel_path
is correct and points to an accessible file to avoid file not found errors.row_range
and col_range
values to limit the data read to only what is necessary, improving performance and reducing processing time.sheet_name
matches exactly with the sheet in the Excel file, as any discrepancy will result in an error.<excel_path>
<excel_path>
<sheet_name>
does not exist in the workbooksheet_name
parameter exactly.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.