aequilibrae.project.network.Periods#

class aequilibrae.project.network.Periods(net)[source]#

Access to the API resources to manipulate the periods table in the network

>>> project = create_example(project_path, "coquimbo")

>>> all_periods = project.network.periods

# We can just get one link in specific
>>> period = all_periods.get(1)

# We can save changes for all periods we have edited so far
>>> all_periods.save()
__init__(net)[source]#

Methods

__init__(net)

extent()

Queries the extent of the layer included in the model

get(period_id)

Get a period from the network by its period_id

new_period(period_id, start, end[, description])

Creates a new period with a given ID

refresh()

Refreshes all the periods in memory

refresh_fields()

After adding a field one needs to refresh all the fields recognized by the software

save()

Attributes

data

Returns all periods data as a Pandas DataFrame

default_period

fields

Returns a FieldEditor class instance to edit the zones table fields and their metadata

sql

Query sql for retrieving periods

extent()[source]#

Queries the extent of the layer included in the model

Returns:

model extent (Polygon): Shapely polygon with the bounding box of the layer.

get(period_id: int) Period[source]#

Get a period from the network by its period_id

It raises an error if period_id does not exist

Arguments:

period_id (int): Id of a period to retrieve

Returns:

period (Period): Period object for requested period_id

new_period(period_id: int, start: int, end: int, description: str | None = None) Period[source]#

Creates a new period with a given ID

Arguments:

period_id (int): Id of the centroid to be created

start (int): Start time of the period to be created

end (int): End time of the period to be created

description (str): Optional human readable description of the time period e.g. ‘1pm - 5pm’

refresh()[source]#

Refreshes all the periods in memory

refresh_fields() None[source]#

After adding a field one needs to refresh all the fields recognized by the software

save()[source]#
property data: DataFrame#

Returns all periods data as a Pandas DataFrame

Returns:

table (DataFrame): Pandas DataFrame with all the periods

property default_period: Period#
property fields: FieldEditor#

Returns a FieldEditor class instance to edit the zones table fields and their metadata

sql = ''#

Query sql for retrieving periods