import pandas as pd
import numpy as np

standard = pd.read_csv("Standard.csv")
standard_sortX = standard.sort_values(by = '0')
standardSample = standard_sortX.iloc[0:standard_sortX.shape[0]:2,:]

mirroring = np.array([[1,0],[0,-1]])
dataMirroring = mirroring.dot(np.array(standardSample).transpose()).transpose()

standardPlane = np.c_[dataMirroring[:,0],-76 * np.ones(dataMirroring.shape[0])]
standardPlane = np.c_[standardPlane,dataMirroring[:,1]]

for index in range(-75,76,1):
    standardPlaneTemp = np.c_[dataMirroring[:,0],index * np.ones(dataMirroring.shape[0])]
    standardPlaneTemp = np.c_[standardPlaneTemp,dataMirroring[:,1]]
    standardPlane = np.r_[standardPlane,standardPlaneTemp]
    
print(standardPlane.shape)

pd.DataFrame(standardPlane).to_csv("StandardPlane.csv",index = False)