35 lines
949 B
Python
35 lines
949 B
Python
import math
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import pandas as pd
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import numpy as np
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import matplotlib.pyplot as plt
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument("--density", "-d")
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args=parser.parse_args()
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columns = ["ID", "idx", "Mass", "Radius", "X", "Y", "Z", "vX", "vY", "vZ", "sX", "sY", "sZ", "Colour"]
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deviations = []
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time = []
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for i in range (1,401):
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num = str(i).rjust(5, '0')
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file = "BTs/"+str(args.density)+"/boom."+num+".bt"
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data = pd.read_csv(file, sep=' ', names=columns)
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data["X"] = data["X"]*1.5e8
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data["Y"] = data["Y"]*1.5e8
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data["Z"] = data["Z"]*1.5e8
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data["X2"] = data["X"]**2
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data["Y2"] = data["Y"]**2
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data["Z2"] = data["Z"]**2
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data["distance2"] = data["X2"]+data["Y2"]+data["Z2"]
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data["distance"] = data["distance2"]**0.5
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deviation = data["distance"].std()
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time.append(i)
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deviations.append(deviation)
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ax=plt.axes()
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# ax.set_yscale("log")
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ax.plot(time, deviations)
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plt.show()
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