Dependency

polars

Dataframe library used for fast tabular data transformations and aggregation.

Owner: Open-source Python ecosystem maintainers. · Freshness: Version pinned by project environment until dependency updates are applied.

Built 2026-06-15 11:52 UTC · Commit e5cf673

Lineage

flowchart LR
  src["polars"]
  src --> c1["01 - System-Wide OTP Trend"]
  src --> c2["02 - Mode Comparison"]
  src --> c3["03 - Route Ranking"]
  src --> c4["04 - Tract Equity"]
  src --> c5["05 - Anomaly Investigation"]
  src --> c6["06: Seasonal Patterns"]
  src --> c7["07: Stop Count vs OTP"]
  src --> c8["08: Hot-Spot Map"]
  src --> c9["09: Incline Investigation"]
  src --> c10["10: Trip Frequency vs OTP"]
  src --> c11["11: Directional Asymmetry"]
  src --> c12["12: Route Geographic Span vs OTP"]
  src --> c13["13: Cross-Route Correlation Clustering"]
  src --> c14["14: COVID Recovery Trajectories"]
  src --> c15["15: Municipal/County Equity"]
  src --> c16["16: Transfer Hub Performance"]
  src --> c17["17: Weekend vs Weekday Service Profile"]
  src --> c18["18: Multivariate OTP Model"]
  src --> c19["19 - Ridership-Weighted OTP"]
  src --> c20["20 - OTP → Ridership Causality"]
  src --> c21["21 - COVID Ridership vs OTP Recovery"]
  src --> c22["22 - Passenger-Weighted Delay Burden"]
  src --> c23["23 - Garage-Level Performance"]
  src --> c24["24 - Weekday vs Weekend Ridership Trends"]
  src --> c25["25 - Ridership Concentration & Equity"]
  src --> c26["26 - Ridership in Multivariate OTP Model"]
  src --> c27["27 - Traffic Congestion and OTP"]
  src --> c28["28 - Weather Impact"]
  src --> c29["29 - Service Change Impact on OTP"]
  src --> c30["30 - Service Level vs OTP Longitudinal"]
  src --> c31["31 - Stop Consolidation Candidates"]
  src --> c32["32 - Shelter Equity"]
  src --> c33["33 - Pandemic Ridership Geography"]
  src --> c34["34 - Ridership Concentration (Pareto)"]
  src --> c35["35 - Boarding/Alighting Flow Analysis"]
  src --> c36["36 - National Ridership Growth (2019 vs 2024)"]
  src --> c37["37 - Peer City Ridership Comparison"]
  src --> c38["38 - Downtown Recovery Gap"]
  src --> c39["39 — National Service Cuts (2019 vs 2024)"]
  src --> c40["40 - Peer City Dashboard"]
  src --> c41["41 - Operating Cost Drivers"]
  src --> c42["42 - Allegheny Go Equity"]
  src --> c43["43 - Allegheny Go Program Growth"]
  src --> c44["44 - Route Population Reach"]
  src --> c45["45 - Population-Weighted System OTP"]
  src --> c46["46 - Population Transit Proximity"]
  src --> c47["47 - Route Ridership Ranking"]
  src --> c48["48 - Service Productivity (Passengers per Revenue Hour)"]
  src --> c49["49 - Transit Service & Boardings vs Population Density"]
  src --> c50["50 - Bus vs. Rail: Productivity by Mode"]
  src --> c51["51 - Traffic Signals and OTP"]
  src --> c52["55 - Road Classification and OTP"]
  src --> c53["58 - Stop Signal Placement Equity"]
  src --> c54["59 - National Service Elasticity of Ridership"]

Context

Why It MattersCaveat
Runtime dependency required for this page's pipeline or analysis code. Library updates may change behavior or defaults.

Consumed By