Python 3 support

This version longer works with Python 2 as it has reached its end of life. Please upgrade to Python 3 to continue using this program

README.md

@@ -27,27 +27,27 @@ python ThxsPy.py
 ```
 You'll be prompted to confirm the version of Th spikes you're using
 
-![alt text](/README_screenshots/spike_prompt_ThxsPy.png)
+![alt text](./README_screenshots/spike_prompt_ThxsPy.png)
 
 Hit "Enter", and you'll be asked whether you want to inspect the data in figures
 
-![alt text](/README_screenshots/inspect_figures_prompt.png)
+![alt text](./README_screenshots/inspect_figures_prompt.png)
 
 Hit "Enter". Figures of all the ICPMS counts will be saved in the same folder as the input files. You can check the figures to see if there's anything abnormal, e.g. a spike in counts or trailing in counts midway. Notice that the all isotopes are plotted on the same y-axis, meaning you'll mostly see the variations in major isotopes like 238U and 232Th. You'll then select data files as well as a sample info file. Notice that the file selector window sometimes doesn't pop up and is open in the background.
 
-![alt text](/README_screenshots/data_selection_ThxsPy.JPG)
+![alt text](./README_screenshots/data_selection_ThxsPy.JPG)
 
 Where you should double click "data" folder and select all the files in that folder
 
-![alt text](/README_screenshots/data_select_all_ThxsPy.JPG)
+![alt text](./README_screenshots/data_select_all_ThxsPy.JPG)
 
 Notice that alongside the data files, there's also a "sample_info.xlsx" file that looks like this
 
-![alt text](/README_screenshots/sample_info_screenshot.JPG)
+![alt text](./README_screenshots/sample_info_screenshot.JPG)
 
 And Voila! Calculation is done and you're asked to save the output file with a file name of your choice. You can either write the ".xlsx" or not. The program will add one for you if you don't.
 
-![alt text](/README_screenshots/save_output_ThxyPy.JPG)
+![alt text](./README_screenshots/save_output_ThxyPy.JPG)
 
 
 ## License

ThxsPy.py

@@ -6,36 +6,26 @@
 '''
 # If directly import mpl, crashes. Source: https://stackoverflow.com/questions/32019556/matplotlib-crashing-tkinter-application/34109240#34109240
 import matplotlib
-matplotlib.use("TkAgg")
+# matplotlib.use("TkAgg")
 from matplotlib import pyplot as plt
 import numpy as np
 import numpy.ma as ma
 from scipy import stats # for linear regression
-from Tkinter import Tk
-from tkFileDialog import askopenfilenames, asksaveasfilename
+import tkinter as tk
+from tkinter import filedialog
 import sys
 import pandas as pd
 
 #import subprocess
 
-spike_answer = str(raw_input("Are you using 2006-2 UTh spike? If not, click no and search \'unspike\' in script and change its values. [y] or n:") or 'y')
+spike_answer = str(input("Are you using 2006-2 UTh spike? If not, click no and search \'unspike\' in script and change its values. [y] or n:") or 'y')
 if spike_answer == 'n':
     sys.exit()
-figure_answer = str(raw_input("Do you want to inspect ICPMS raw output in figures?[y] or n:") or 'y')
+figure_answer = str(input("Do you want to inspect ICPMS raw output in figures?[y] or n:") or 'y')
 
-
-## check OS
-#if platform.system() == 'Windows':
-#    spike_answer = ctypes.cdll.user32.MessageBoxA(0, "Are you using 2006-2 UTh spike? If not, click no and search \'unspike\' in script and change its values", "2006-2 spike?", 4)
-#    if spike_answer == 7:
-#        sys.exit()
-#elif platform.system() == 'Darwin':
-#    window = Tk()
-#    window.wm_withdraw()
-#    tkMessageBox.showinfo(title="2006-2 spike?", message="Are you using 2006-2 UTh spike? If not, exit and search \'unspike\' in script and change its values")
-
-Tk().withdraw() # we don't want a full GUI, so keep the root window from appearing
-file_names = askopenfilenames(title="Select all the ICPMS output files and a \'sample_info' file") # show an "Open" dialog box and return the path to the selected file
+root = tk.Tk()
+root.withdraw() # we don't want a full GUI, so keep the root window from appearing
+file_names = filedialog.askopenfilenames(title="Select all the ICPMS output files and a \'sample_info' file") # show an "Open" dialog box and return the path to the selected file
 
 def return_five_point_avg(file_name):
     # read txt as csv, using tab as separator
@@ -348,7 +338,7 @@ def reject_outliers(data, m = 2.):
 export_df = pd.concat([sample_name_df,export_data_df],axis=1)
 
 #%% save to csv
-output_file_name = asksaveasfilename(title='Save the output file as')
+output_file_name = filedialog.asksaveasfilename(title='Save the output file as')
 if 'xlsx' not in output_file_name:
     output_file_name = output_file_name + '.xlsx'
 export_df.to_excel(output_file_name)