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yergayerga
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‎dspacing.py‎

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import csv
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import matplotlib
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matplotlib.use('Qt5Agg')
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from matplotlib import pyplot as plt
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from scipy.signal import find_peaks
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import numpy as np
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def get_column_data(numcol, numrows, datacsv):
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datatotal = []
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for i in range(1, numrows):
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data = datacsv[i][numcol]
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if data != '':
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data = float(data)
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datatotal.append(data)
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return np.asarray(datatotal).astype(float)
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datacsv = []
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csvfile = open('values.csv')
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reader = csv.reader(csvfile, delimiter=',')
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for row in reader:
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datacsv.append(row)
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csvfile.close()
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numrows = len(datacsv)
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numcolumns = len(datacsv[1])
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xdata = get_column_data(0, numrows, datacsv)
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ydata = get_column_data(1, numrows, datacsv)
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peaks, _ = find_peaks(ydata, height=3)
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print(peaks)
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print(xdata[peaks])
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maxspacings = xdata[peaks]
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dspacings = [x - maxspacings[i - 1] for i, x in enumerate(maxspacings)][1:]
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print("d spacing (nm): ", np.nanmedian(dspacings))
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plt.plot(xdata, ydata)
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plt.plot(xdata[peaks], ydata[peaks], "x")
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plt.tight_layout()
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plt.show()
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‎values.csv‎

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X,Y
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0.000000,10.907070
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0.012782,10.613102
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0.025565,7.520391
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0.038347,2.834296
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0.051130,-2.552690
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0.063912,-7.407323
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0.076694,-10.679354
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0.089477,-11.179690
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0.102259,-9.241397
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0.115042,-5.216743
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0.127824,0.189339
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0.140606,5.550748
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0.153389,9.610683
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0.166171,11.419617
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0.178953,10.789305
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0.191736,7.380632
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0.204518,2.273955
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0.217301,-3.343135
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0.230083,-8.203490
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0.242865,-11.323425
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0.255648,-11.632867
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0.268430,-9.178819
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0.281213,-4.761067
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0.293995,0.897293
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0.306777,6.369541
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0.319560,10.380538
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0.332342,11.895137
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0.345125,10.783381
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0.357907,7.182508
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0.370689,1.656898
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0.434601,-9.056050
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0.447384,-4.218425
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0.460166,1.635704
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0.498513,12.330101
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0.626337,2.373959
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0.639120,8.026006
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0.651902,11.559489
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0.664684,12.533095
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0.677467,10.590510
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0.690249,6.207697
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0.703031,0.292509
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0.715814,-5.667387
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0.728596,-10.270343
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0.741379,-12.691289
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0.754161,-12.038039
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0.766943,-8.459915
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0.779726,-2.994934
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