@Scout how to display pandas dataframe nicely in dagster ui

To display a Pandas DataFrame nicely in the Dagster UI, you can use metadata to attach a markdown representation of the DataFrame. This allows you to preview the DataFrame directly within the Dagster UI. Here's an example of how you can add a markdown representation of a DataFrame as metadata to an asset:

python from dagster import asset, MetadataValue import pandas as pd  @asset def my_asset():     # Create a sample DataFrame     data = pd.DataFrame({         "orders": [1, 2, 3, 4],         "users": ["pam", "jim", "michael", "dwight"]     })      # Convert the DataFrame to markdown format     markdown_representation = data.head().to_markdown()      # Attach the markdown representation as metadata to the asset     yield MetadataValue.md(markdown_representation), data

In this example,

data.head().to_markdown()

converts the top rows of the DataFrame into a markdown string. The

MetadataValue.md()

function is then used to indicate that the string should be rendered as markdown in the UI. When you yield this metadata along with the DataFrame, the markdown representation will be displayed in the Dagster UI under the asset's details. Please note that the actual code and methods to use may vary depending on the version of Dagster you are using and the specific requirements of your project. Always refer to the latest documentation for the most up-to-date practices.