ScatterPlots.py
c6b661d2d480smalladditions

ScatterPlots.py
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			import AnalysisParameters as pm
			import numpy as np
			import scipy
			import scipy.signal as sig
			import Functions as f
			import os
			import matplotlib.pyplot as plt
			from matplotlib.backends.backend_pdf import PdfPages
			from matplotlib.font_manager import FontProperties
			import pandas as pd
			import h5py
			from tkinter.filedialog import askopenfilenames
			pm.init()

			#currents = {'i1','i2'}
			currents = {'i1'}

			#filenames = askopenfilenames() # show an "Open" dialog box and return the path to the selected file
			filenames = {'/Users/migraf/Desktop/Chan/Data/R43_KCl gradient_100mMcis_1mM trans_4_20180405_182358_OriginalDB.hdf5'}
			count = 0

			dt = {}
			dI = {}
			count = {}
			ind = {}
			for k in currents:
			dt[k] = np.array([])
			dI[k] = np.array([])
			count[k] = 0

			for k in currents:
			for file in filenames:
			print(file)
			f = h5py.File(file, 'r')
			dt[k] = np.append(dt[k], f['LowPassSegmentation/' + k + '/DwellTime'].value)
			dI[k] = np.append(dI[k], f['LowPassSegmentation/' + k + '/FractionalCurrentDrop'].value)
			ind[k] = f['LowPassSegmentation/' + k + '/CommonIndex'].value
			count[k] += len(dt[k])

			fig1, ax = plt.subplots(1)
			ax.plot(dt['i1'] * 1e3, dI['i1']*100, 'ob', label = 'Ionic Current')
			ax.plot(dt['i2'] * 1e3, dI['i2']*100, 'or', label = 'Transverse Current')

			#ax.set_xlim(0, 2)
			#ax.set_ylim(10, 40)

			ax.set_xlabel('Time [ms]')
			ax.set_ylabel('Current Drop dI/I0 [%]')
			ax.set_title('MoS2 transverse detection, {} events'.format(count))

			fig1.savefig(file[:-4] + 'Scatter.png', dpi=300)
			fig1.savefig(file[:-4] + 'Scatter.eps')

			plt.show()

			#fig1.clear()
			#fig1.close()