Analyze a trip table

This example shows how to: - Analyze a trip table after it has been generated by Polaris - Analyze a trip table from file (exogenous trips)

Imports

from pathlib import Path

import pandas as pd

from polaris import Polaris
from polaris.analyze.demand_report import demand_report
from polaris.utils.database.data_table_access import DataTableAccess

model_dir = Path("/tmp/Austin")
supply_file = Polaris.from_dir(model_dir).supply_file
demand_file = Polaris.from_dir(model_dir).demand_file

Read Locations table from the Supply database

dta = DataTableAccess(supply_file)
locations = dta.get("Location")

Read trip table from the Exogenous file

trips = pd.read_csv(model_dir / "demand/trip.zip")

# Reading from the demand database is also easy:
# dta_demand = DataTableAccess(demand_file)
# trips = dta_demand.get("Trip")

Now we can run the demand report analysis on the trip table

report = demand_report(trips=trips, locations=locations)

/venv-py312/lib/python3.12/site-packages/aequilibrae/paths/graph.py:218: ChainedAssignmentError: A value is being set on a copy of a DataFrame or Series through chained assignment.
Such chained assignment never works to update the original DataFrame or Series, because the intermediate object on which we are setting values always behaves as a copy (due to Copy-on-Write).

Try using '.loc[row_indexer, col_indexer] = value' instead, to perform the assignment in a single step.

See the documentation for a more detailed explanation: https://pandas.pydata.org/pandas-docs/stable/user_guide/copy_on_write.html#chained-assignment
  build_compressed_graph(self, remove_dead_ends)
delaunay                                          :   0%|          | 0/2102 [00:00<?, ?it/s]
Equilibrium Assignment                            :   0%|          | 0/250 [00:00<?, ?it/s]

We can save the report to disk if we want

report.savefig(model_dir / "report_demand.png", dpi=600)