AERO4200-Ass3/main.py

# Aero4200-Ass3
#   Cal Wing, Sem 2 2023

# Import System / Common Libs 
import os, time
import numpy as np
import pandas as pd
from tqdm import tqdm

#Import MakeGraph, a custom graphing wrapper I developed, refer to it for documentation  
from makeGraph import makeGraph, pltKeyClose, UQ_COLOURS as UQC # Custom Graphing Lib

# Override Sin & Cos to use & return degrees
#def sin(angle): return np.sin(np.deg2rad(angle))
#def cos(angle): return np.cos(np.deg2rad(angle))

# Make sure the relevant folders folder exists
folders = ["./images"]
for folder in folders:
    if not os.path.isdir(folder): os.mkdir(folder)

# IMU Data Loading
# I map in to a heading to add units / make things make more sense
## The gyroscopic body angular rates from the IMU are given:
#  - WBE_1 (in rad/s) - the roll rate about the body-fixed x-axis 
#  - WBE_2 (in rad/s) - the pitch rate about the body-fixed y-axis  
#  - WBE_3 (in rad/s) - the yaw rate about the body-fixed z-axis
## Specific forces:
#  - FSP_X (in m/s2) - the specific force in the body-fixed x-direction
#  - FSP_Y (in m/s2) - the specific force in the body-fixed y-direction
#  - FSP_Z (in m/s2) - the specific force in the body-fixed z-direction 
IMU_DATA_HEADER = [
    "Time [s]", 
    "WBE_1 [rad/s]", "WBE_2 [rad/s]", "WBE_3 [rad/s]",
    "FSP_X [m/s^2]", "FSP_Y [m/s^2]", "FSP_Z [m/s^2]"
]
def importIMUData(mission, imu):
    # If IMU is not a string, then convert based on bool eval where "H" == True
    if type(imu) != str: imu = "H" if imu else "L"  

    data = pd.read_csv(
           f"./data/IMU_M{str(mission) + str(imu)}.txt", 
            header=None, skiprows=1,
            names=IMU_DATA_HEADER,
            dtype=[float, float, float, float, float, float, float],
        )

    return data

m1_IMUData = importIMUData(1, 0), importIMUData(1, 1) #(L, H) Data
m2_IMUData = importIMUData(2, 0), importIMUData(2, 1)



if __name__ == '__main__':
    
    input("Damn")

if __name__ == '__main__1':
    #This is an example of drawing 4 plots by generating them
    graphData = {
        "figTitle":  "Simple Plot",
        "figTitleFontSize": 16,
        "figSize": (8,8), #Yay America, this is in inches :/ # Note: cm = 1/2.54
        "xLabel": "x label", 
        "yLabel": "y label",
        "plotDim": (2,2),
        "subPlots":[]
    }

    #Create 4 identical plots with different names
    for i in range(4):
        newPlot = {
            "title": f"Graph {i+1}",
            "plots": [
                {"x":[0,1,2,3,4], "y":[0,1,2,3,4], "label":"Linear"},
                {"x":[0,1,2,3,4], "y":[5,5,5,5,5]},
                {"x":[4,3,2,1,0], "y":[4,3,2,1,0], "label":"Linear2"},
                {"x":0, "type":"axvLine", "label":"Red Vertical Line", "color":"red"},
                {"y":6, "type":"axhLine", "label":"Dashed Horizontal Line", "args":{"linestyle":"--"}},
                {"type":"scatter", "x":4, "y":4, "label":"A Random Point", "colour":"purple", "args":{"zorder":2}}
            ]
        }
        graphData["subPlots"].append(newPlot)
    
    makeGraph(graphData, figSavePath="./images/example.png")