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Calculate difference in non-empty cells between specified rows/columns in Excel for data comparison.
The ReadExcelRowOrColumnDiff
node is designed to facilitate the comparison of data within an Excel sheet by calculating the difference in the number of non-empty cells between specified rows or columns. This node is particularly useful for users who need to analyze data consistency or changes over time within a spreadsheet. By allowing you to specify whether to read by row or column, and which indices to compare, it provides a flexible approach to data analysis. The node's primary function is to count the non-empty cells in the specified rows or columns and return the difference, enabling you to quickly identify discrepancies or changes in data density.
This parameter specifies the path to the Excel file you wish to analyze. It is crucial as it directs the node to the correct file location. The path should be a valid string pointing to an existing Excel file. The default value is "path/to/your/file.xlsx"
, and it must be a valid path to ensure the node can access the file.
This parameter indicates the name of the sheet within the Excel file that you want to analyze. It is important because Excel files can contain multiple sheets, and specifying the correct one ensures the node reads the intended data. The default value is "Sheet1"
.
This parameter determines whether the node should read by row or by column. It accepts two options: "读行"
(read by row) and "读列"
(read by column). The choice of mode affects how the node interprets the indices and calculates the differences. The default setting is "读行"
.
This parameter specifies the indices of the rows or columns to be compared. It should be a string of two comma-separated integers, such as "1,3"
, indicating the specific rows or columns to analyze. The indices must be valid numbers within the range of the sheet's dimensions.
The output is a single integer representing the difference in the number of non-empty cells between the specified rows or columns. This value provides a quantitative measure of the variation in data density, which can be useful for identifying trends or inconsistencies in the dataset.
excel_path
is correct and points to an accessible file to avoid errors related to file access.read_mode
parameter to tailor the analysis to your specific needs, whether you are interested in comparing rows or columns.indices
to ensure they are within the valid range of your sheet to prevent out-of-bound errors.<excel_path>
<excel_path>
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