import math
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import argparse

parser = argparse.ArgumentParser()
parser.add_argument("--density", "-d")
parser.add_argument("--frame", "-f")

args=parser.parse_args()

columns = ["ID", "idx", "Mass", "Radius", "X", "Y", "Z", "vX", "vY", "vZ", "sX", "sY", "sZ", "Colour"]


num = str(args.frame).rjust(5, '0')
file = "BTs/"+str(args.density)+"/boom."+num+".bt"
data = pd.read_csv(file, sep=' ', names=columns)
data["X"] = data["X"]*1.5e8
data["Y"] = data["Y"]*1.5e8
data["Z"] = data["Z"]*1.5e8
data["X2"] = data["X"]**2
data["Y2"] = data["Y"]**2
data["Z2"] = data["Z"]**2
data["distance2"] = data["X2"]+data["Y2"]+data["Z2"]
data["distance"] = data["distance2"]**0.5

distance = data["distance"].mean()

print(distance)