In [1]:

    

import numpy as np
import pandas as pd


    

In [30]:

    

SIZE = 1000

A = np.random.normal(5, 1, size=SIZE)
B = 0.2*A + np.random.normal(10, 2, size=SIZE)
C = 0.5*A + np.random.normal(2, 0.4, size=SIZE)
D = 0.6*B + 0.3*C + np.random.normal(1, 0.1, size=SIZE)

nodes = [A, B, C, D]

data = np.vstack(nodes).T


    

In [31]:

    

meta = [["A", "B", "C", "D"],
        [100, 100, 100, 100], 
        ["C", "C", "C", "C"]]


    

In [35]:

    

pd.DataFrame(data).to_csv("simulation.data", sep=" ", header=False, index=False)
pd.DataFrame(meta).to_csv("simulation.header", sep=" ", header=False, index=False)


    

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