INVOICE Day

SDK code to create INVOICE_Day¶

Feature description:

Day of invoice

In [ ]:

import featurebyte as fb
fb.use_profile("tutorial")

import featurebyte as fb fb.use_profile("tutorial")

Activate catalog¶

See SDK reference for catalogs

In [ ]:

catalog = fb.Catalog.activate("Grocery Dataset Tutorial")

catalog = fb.Catalog.activate("Grocery Dataset Tutorial")

Get view from table¶

See SDK reference for views

In [ ]:

# Get view from GROCERYINVOICE event table.
groceryinvoice_view = catalog.get_view("GROCERYINVOICE")

# Get view from GROCERYINVOICE event table. groceryinvoice_view = catalog.get_view("GROCERYINVOICE")

Extract Date parts¶

See SDK reference for view columns

See list of datetime transforms

In [ ]:

# Extract day date part from Timestamp column for GROCERYINVOICE view.
groceryinvoice_view["Day of invoice"] = groceryinvoice_view["Timestamp"].dt.day

# Extract day date part from Timestamp column for GROCERYINVOICE view. groceryinvoice_view["Day of invoice"] = groceryinvoice_view["Timestamp"].dt.day

Create Lookup feature¶

See SDK reference for features

See SDK reference to declare a lookup feature

In [ ]:

# Create lookup feature from Day of invoice column for invoice entity.
invoice_day =\
groceryinvoice_view["Day of invoice"].as_feature("INVOICE_Day")

# Create lookup feature from Day of invoice column for invoice entity. invoice_day =\ groceryinvoice_view["Day of invoice"].as_feature("INVOICE_Day")

Preview feature¶

Read on the feature primary entity concept

Read on the serving entity concept

See SDK reference for observation table

See SDK reference to preview feature

In [ ]:

#Check the primary entity of the feature'
invoice_day.primary_entity

#Check the primary entity of the feature' invoice_day.primary_entity

In [ ]:

#Get observation table: 'Preview Table with 10 items'
preview_table = catalog.get_observation_table(
	"Preview Table with 10 items"
).to_pandas()

#Get observation table: 'Preview Table with 10 items' preview_table = catalog.get_observation_table( "Preview Table with 10 items" ).to_pandas()

In [ ]:

#Preview INVOICE_Day
invoice_day.preview(
	preview_table
)

#Preview INVOICE_Day invoice_day.preview( preview_table )

Save feature¶

See SDK reference to save feature

In [ ]:

# Save feature
invoice_day.save()

# Save feature invoice_day.save()

Add description and see feature definition file¶

See SDK reference for the definition file of a feature

In [ ]:

# Add description
invoice_day.update_description(
	"Day of invoice"
)
# See feature definition file
invoice_day.definition

# Add description invoice_day.update_description( "Day of invoice" ) # See feature definition file invoice_day.definition