import numpy as np

from analyze import analyze, plot_violin

dataset = np.load("clean.npy")
print(f"dataset shape: {dataset.shape}; analyzing column 9 (commute)")
print("\t0 - dorms")
print("\t1 - <= 15m")
print("\t2 - <= 30m")
print("\t3 - <= 1h")
print("\t4 - > 1h")
print("")


def analyze_living(name: str, col: np.ndarray):
    occupation_col = dataset[:, 9]
    data = [
        col[occupation_col == 0],
        col[occupation_col == 1],
        col[occupation_col == 2],
        col[occupation_col == 3],
        col[occupation_col == 4]
    ]
    F, p = analyze(name, data)
    return data, F, p


data_gpa, F_gpa, p_gpa = analyze_living("gpa", dataset[:, 2])
data_math, F_math, p_math = analyze_living("math", dataset[:, 3])
data_slovak, F_slovak, p_slovak = analyze_living("slovak", dataset[:, 4])
data_english, F_english, p_english = analyze_living("english", dataset[:, 5])

plot_violin([data_gpa, data_math, data_slovak, data_english], ["Intrák", "<= 15m", "<= 30m", "<= 1h", "> 1h"],
            [F_gpa, F_math, F_slovak, F_english], [p_gpa, p_math, p_slovak, p_english], "Dochádzanie")