import pandas as pd
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import numpy as np
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standard = pd.read_csv("Standard.csv")
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standard_sortX = standard.sort_values(by = '0')
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standardSample = standard_sortX.iloc[0:standard_sortX.shape[0]:2,:]
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mirroring = np.array([[1,0],[0,-1]])
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dataMirroring = mirroring.dot(np.array(standardSample).transpose()).transpose()
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standardPlane = np.c_[dataMirroring[:,0],-76 * np.ones(dataMirroring.shape[0])]
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standardPlane = np.c_[standardPlane,dataMirroring[:,1]]
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for index in range(-75,76,1):
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standardPlaneTemp = np.c_[dataMirroring[:,0],index * np.ones(dataMirroring.shape[0])]
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standardPlaneTemp = np.c_[standardPlaneTemp,dataMirroring[:,1]]
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standardPlane = np.r_[standardPlane,standardPlaneTemp]
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print(standardPlane.shape)
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pd.DataFrame(standardPlane).to_csv("StandardPlane.csv",index = False)
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