thesoens/recombine.py

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2022-01-29 13:04:08 +01:00
import tensorflow as tf
from tensorflow import keras
import numpy as np
import os
import sys
from data import data
fns=[f"runs/{zw}" for zw in os.listdir("runs")]
fs=[np.load(fn) for fn in fns if os.path.isfile(fn)]
x=fs[0]["x"]
ds=[f["d"] for f in fs]
ps=[f["p"][:,0] for f in fs]
ds=np.array(ds)
ps=np.array(ps)
d=np.sqrt(np.mean(np.square(ds),axis=0))
np.savez_compressed("merged",x=x,ds=ds,ps=ps,d=d)
print(np.corrcoef(ps))
sx=[(xx,dd) for xx,dd in zip(x,d)]
sx.sort(key=lambda x:x[1])
sx=[xx for xx,dd in sx]
sx=np.array(sx)
from plt import plt
col1=[1.0,0.0,0.0]
col2=[0.0,1.0,0.0]
col1,col2=np.array(col1),np.array(col2)
ln=len(sx)
cols=[col1*(i/ln)+col2*(1-i/ln) for i in range(ln)]
plt.scatter(sx[:,0],sx[:,1],c=cols)
plt.savefig(f"imgs/recombine.png")
#plt.plot(sx[:,0],sx[:,1],'.')
plt.how()