Скачать или смотреть Using Python in Power BI to Reference Another Table Dynamically

Learn how to dynamically reference another Power BI table inside a Python script to process data, avoiding hardcoded file paths by fetching metadata from a related table.
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This video is based on the question https://stackoverflow.com/q/79356942/ asked by the user 'carly m' ( https://stackoverflow.com/u/14383853/ ) and on the answer https://stackoverflow.com/a/79357018/ provided by the user 'carly m' ( https://stackoverflow.com/u/14383853/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Problem Overview

In Power BI, you might want to run a Python script to process data files dynamically based on information stored in another table. For example, you have a reviews table containing file paths in an attachment column, and you want your Python script to work with the latest file path instead of a hardcoded filename.

Why This Matters

Hardcoding file paths in Python scripts limits automation and data refresh capabilities. By linking the file path dynamically to your reviews table, you make your Power BI reports more responsive to data updates.

Solution Breakdown

Here's how to dynamically pass the latest file path from a Power BI table into your Python script:

Steps

Load your reviews table into Power Query. This table should include at least:

A createdon or timestamp column

An attachment column containing file paths

Sort and pick the latest row:
Use Power Query M functions to sort reviews by createdon descending and get the first entry (the latest).

Inject this dynamic value into your Python script:

Modify your Python.Execute command inside Power Query’s Advanced Editor.

Concatenate the latest attachment path as the filename variable in Python.

Example M Code Snippet

[[See Video to Reveal this Text or Code Snippet]]

Explanation:

Table.Sort orders reviews by createdon descending.

Table.FirstN(..., 1){0} extracts the first record.

Record.Field(..., "attachment") gets the file path.

This value is inserted as a string into the Python script, replacing the static filename.

Benefits

No hardcoding: filenames update automatically based on the reviews data.

More maintainable and robust Power BI Python scripts.

Seamless integration between Power Query tables and Python processing.

Summary

To dynamically reference another Power BI table inside a Python script, embed the logic in Power Query M to extract desired values and inject them as Python variables. This approach keeps your Power BI reports flexible and data-driven.