Python 3 support

This program no longer works with Python 2 as it has reach its end of life. Please upgrade to Python 3 to continue using this program.

PaxsPy.py

@@ -7,33 +7,23 @@
 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 matplotlib
 matplotlib.use("TkAgg")
 import matplotlib.pyplot as plt
 
-spike_answer = str(raw_input("Are you using 2006-2 UTh spike and 2019-2a Pa spike? If not, click no and search \'MixedPa' in script and change its values. [y] or n:") or 'y')
+spike_answer = str(input("Are you using 2006-2 UTh spike and 2019-2a Pa spike? If not, click no and search \'MixedPa' 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.windll.user32.MessageBoxA(0, "Are you using 2006-2 UTh spike and 2017-1a Pa spike? If not, click no and search \'MixedPa' in script and change its values", "Spike?", 4)
-#    if spike_answer == 7:
-#        sys.exit()
-#elif platform.system() == 'Darwin':
-#    window = Tk()
-#    window.wm_withdraw()
-#    tkMessageBox.showinfo(title="Spike?", message="Are you using 2006-2 UTh spike and 2017-1a Pa spike? If not, click no and search \'MixedPa' in script and change its values")
+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' excel file") # show an "Open" dialog box and return the path to the selected file
 
-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' excel file") # show an "Open" dialog box and return the path to the selected file
-
-def return_five_point_avg(file_name):
 def return_five_point_avg(file_name):
     # read txt as csv, using tab as separator
     txt_handle = pd.read_csv(file_name,sep='\t',header=None)
@@ -292,13 +282,13 @@ def reject_outliers(data, m = 2.):
 elif sample_info_type == 'xlsx':
     sample_name_df = pd.DataFrame({'Sample name':sample_info[0]})
 if nochem_mixPa_flag:
-    avg_233Pa_231Pa_df = pd.DataFrame({'avg_233Pa_231Pa for Marty':[decay_days,avg_233Pa_231Pa,nochem_mixPa_233231_avg]},index=[0,1,2])
+    avg_233Pa_231Pa_df = pd.DataFrame({'avg_233Pa_231Pa':[decay_days,avg_233Pa_231Pa,nochem_mixPa_233231_avg]},index=[0,1,2])
 else:
-    avg_233Pa_231Pa_df = pd.DataFrame({'avg_233Pa_231Pa for Marty':[decay_days,avg_233Pa_231Pa]},index=[0,1])
+    avg_233Pa_231Pa_df = pd.DataFrame({'avg_233Pa_231Pa':[decay_days,avg_233Pa_231Pa]},index=[0,1])
 export_df = pd.concat([sample_name_df,export_data_df,avg_233Pa_231Pa_df],axis=1)
 
 #%% save to excel
-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)