FolderToExcel.py
c6b661d2d480Development-of-Analysis…

FolderToExcel.py
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			import pandas as pd
			import datetime
			import os
			from tkinter.filedialog import askopenfilenames
			import numpy as np
			title = '20180711_RW18_Temp'

			filenames = list(askopenfilenames()) # show an "Open" dialog box and return the path to the selected file

			timestrings=[]
			for fi in filenames:
			timestrings.append(datetime.datetime.fromtimestamp(os.path.getmtime(fi)).isoformat())

			# Create a Pandas dataframe from some data.
			df = pd.DataFrame({'Filename': filenames,
			'Cis Conc [M]': np.ones(len(filenames)),
			'Trans Conc [M]': np.ones(len(filenames)),
			'Laser Power [mW]': np.zeros(len(filenames)),
			'Lens [mm]': 0*np.ones(len(filenames)),
			'IV': np.ones(len(filenames)),
			'UseForFigure1': np.ones(len(filenames)),
			'Time': timestrings,
			'UseForCondEvolution': np.ones(len(filenames)),
			'Wavelength': 640*np.ones(len(filenames)),
			'SurfaceChargePlot': np.ones(len(filenames)),
			'UseForDecay': np.ones(len(filenames)),
			'pH': 7.4*np.ones(len(filenames))})

			# Create a Pandas Excel writer using XlsxWriter as the engine.
			writer = pd.ExcelWriter(str(os.path.split(filenames[0])[0])+os.sep+title+'.xlsx', engine='xlsxwriter')

			# Convert the dataframe to an XlsxWriter Excel object.
			df.to_excel(writer, sheet_name='Sheet1')

			# Close the Pandas Excel writer and output the Excel file.
			writer.save()