In a Python visual within a Microsoft Power BI report, if you want all rows to appear, which change should you apply?

• A. Reference the columns in the Python code by index.
• B. Modify the Sort Column By property for all columns.
• C. Add a unique field to each row.
• D. Modify the Summarize By property for all columns.

Answer: (C)

In a Python visual, Power BI passes the data as a table to the Python script. If no field uniquely identifies each row, Power BI can end up grouping or aggregating rows, so some records don’t show up in the Python output. Adding a unique field to every row gives Power BI a distinct identifier for each record, ensuring every row is preserved and sent to Python, so all rows appear in the visual. The other options don’t guarantee this: referencing by index is fragile and depends on Python code; changing how columns are sorted won’t affect whether rows are included; and altering how rows are summarized can still lead to aggregation without a unique key.