Plotter

The Plotter class provides visualization tools for analyzing flight data processed by AeroTrack. It generates time-series and correlation plots for key parameters like CO concentration, air temperature, fuel burn, and altitude, offering visual insights into flight behavior and environmental conditions.

Class Overview

Constructor

Plotter()

Initializes the plotting utility. No external parameters are needed—methods directly take in processed DataFrames.

Key Methods

Method Descriptions

• `plot_co_temperature_correlation(df)` Plots CO concentration vs. air temperature for the cruise segment of a flight. Helpful for detecting wildfire smoke signatures.

• `plot_fuel_burn_and_altitude(df)` Generates a dual-axis plot of fuel burn and barometric altitude over time to visualize aircraft power demand during different flight phases.

• `plot_dust_ingestion_profile(df)` Creates a scatter plot of barometric altitude vs. dust ingestion mass to assess vertical distribution of airborne dust exposure.

• `plot_flight_phases(df)` Uses color-coded segmentation of the altitude profile to show Climb, Cruise, Descent, and Other phases.

Usage Example

from AeroTrack_Modules import Plotter

plotter = Plotter()
plotter.plot_co_temperature_correlation(df)
plotter.plot_fuel_burn_and_altitude(df)
plotter.plot_dust_ingestion_profile(df)
plotter.plot_flight_phases(df)

Output

All plots are rendered using matplotlib.pyplot and displayed interactively (or saved if needed). These visuals support detailed post-flight analysis and comparison between environmental exposure and engine behavior.

Plot Example

Here’s an example showing a CO-temperature correlation in cruise:

plotter.plot_co_temperature_correlation(df)

Dependencies

• matplotlib

• pandas

• numpy