def transformation_name(upstream):

In scenarios where the dataset is sizable enough to exceed memory limits or when a sample suffices, you can include the rows parameter to restrict the number of pulled rows.

client.dataframe(transformation_name, rows=10000)

Fetching training sets as dataframes is also feasible. In this case, Featureform’s serving API equips the training set object with a .dataframe() method.

client.training_set("name", "variant").dataframe()

These mechanisms offer an intuitive and efficient approach to delve into your data using the familiar Dataframe APIs.