Session.add_public_dataframe#

from tmlt.analytics import Session
Session.add_public_dataframe(source_id, dataframe)#

Adds a public data source to the session.

Not all Spark column types are supported in public sources; see ColumnType for information about which types are supported.

Example

>>> public_spark_data.toPandas()
   A  C
0  0  0
1  0  1
2  1  1
3  1  2
>>> # Add public data
>>> sess.add_public_dataframe(
...     source_id="my_public_data", dataframe=public_spark_data
... )
>>> sess.public_sources
['my_public_data']
>>> sess.get_column_types("my_public_data") 
{'A': ColumnType.VARCHAR, 'C': ColumnType.INTEGER}
Parameters:

  • source_id (str) – The name of the public data source.

  • dataframe (DataFrame) – The public data source corresponding to the source_id.