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)

/home/gitlab-runner/builds/polaris/code/polarislib/polaris/analyze/demand_report.py:114: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.
  return df.applymap(fmt)
/home/gitlab-runner/builds/polaris/code/polarislib/polaris/analyze/demand_report.py:114: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.
  return df.applymap(fmt)
/home/gitlab-runner/builds/polaris/code/polarislib/polaris/analyze/demand_report.py:114: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.
  return df.applymap(fmt)
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We can save the report to disk if we want

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