How do I log a panda dataframe as a nice table, instead of text in a log entry

To log a Pandas DataFrame as a nicely formatted table in Dagster, you can use the

TableMetadataValue

class to create a metadata entry that renders the DataFrame as a table in the Dagster UI. However, it's important to note that as of the last update from the documentation, there might be limitations on the data types supported by

TableMetadataValue

. Here's an example of how you might log a Pandas DataFrame using `TableMetadataValue`:

python from dagster import op, Out, MetadataValue import pandas as pd  @op def my_op(context):     df = pd.DataFrame({         "fruit": ["apple", "banana", "cherry"],         "quantity": [5, 3, 8]     })          # Log the dataframe as a table     context.log_event(         MetadataValue.table(df.head().to_dict('records'), df.columns.tolist())     )          return df

In this example, the

to_dict('records')

method is used to convert the DataFrame into a list of records (dictionaries), which

TableMetadataValue

can then render as a table. The

df.columns.tolist()

provides the column names for the table. Please note that the exact method for logging a DataFrame as a table may vary depending on the version of Dagster you are using, and the capabilities of

TableMetadataValue

may have changed since the last documentation update. If you encounter any issues with data types not being supported, you may need to convert those columns to a supported type before logging, or check the latest Dagster documentation or GitHub issues for updates on this feature.