问题描述
限时送ChatGPT账号..我正在使用 tkinter 模块创建一个简单的计算程序，并希望将其转换为 exe，因为我希望它可以在任何 PC 上执行.但不知何故错误信息显示(无法执行脚本pyi_rth_win32comgenpy).
I'm creating a simple calculation program using tkinter module and want to convert to exe as I want it to be executable at any pc. But somehow the error message show (failed to execute script pyi_rth_win32comgenpy).
我尝试过使用 pyinstaller(cmd 和 GitHub 上的那个:https://github/brentvollebregt/auto-py-to-exe)但无济于事.我也尝试使用两种类型的 python 文件(.py 和 .pyw)
I've try used pyinstaller ( cmd and the one on GitHub at : https://github/brentvollebregt/auto-py-to-exe) but to no avail. I also try using both types of python file (.py and .pyw)
from tkinter import *
from tkinter.filedialog import askopenfilename
import pandas as pd
from tkinter import messagebox
from pandastable import Table, TableModel
class Window(Frame):
def __init__(self, master =None):
Frame.__init__(self, master)
self.master = master
self.init_window()
def init_window(self):
self.master.title('GUI')
self.pack(fill=BOTH, expand=1)
quitButton = Button(self, text='quit', command=self.client_exit)
quitButton.place(x=0, y=230)
# fileButton = Button(self, text='Browse Data Set', command=self.import_data)
# fileButton.place(x=150, y=0)
fileButton = Button(self, text='SBO', command=self.sbo)
fileButton.place(x=200, y=50)
fileButton = Button(self, text='CBO', command=self.cbo)
fileButton.place(x=150, y=50)
# menu = Menu(self.master)
# self.master.config(menu=menu)
#
# file = Menu(menu)
# file.add_command(label='Save',command=self.client_exit)
# file.add_command(label='Exit', command= self.client_exit)
# menu.add_cascade(label='File', menu=file)
#
# edit = Menu(menu)
# edit.add_command(label='Undo')
# menu.add_cascade(label='Edit', menu=edit)
def client_exit(self):
exit()
# def import_data(self):
#
# csv_file_path = askopenfilename()
# # print(csv_file_path)
# df = pd.read_excel(csv_file_path)
# return df
def sbo(self):
csv_file_path = askopenfilename()
df = pd.read_excel(csv_file_path)
data = df.drop(df.index[0]) # remove first row
data['BOVal%'] = data['BOVal%'].astype(str) # convert to string
data['BOQty%'] = data['BOQty%'].astype(str)
data['CustomerPONo'] = data['CustomerPONo'].astype(str)
data['OrdNo'] = data['OrdNo'].astype(str)
data['VendorNo'] = data['VendorNo'].astype(str)
pivot = data.pivot_table(index='Style', aggfunc='sum') # first pivot
pivoted = pd.DataFrame(pivot.to_records()) # flattened
pivoted = pivoted.sort_values(by=['BOVal'], ascending=False) # sort largest to smallest
pivoted['Ranking'] = range(1, len(pivoted) + 1) # Ranking
cols = pivoted.columns.tolist()
cols = cols[-1:] + cols[:-1]
pivoted = pivoted[cols]
pivoted = pivoted.set_index('Ranking')
col = df.columns.tolist()
col = (col[22:23] + col[15:17] + col[:14] + col[17:22] + col[23:37]) # rearrange column
data = df[col]
data = data.sort_values(by=['BOVal'], ascending=False) # sort value
data['Ranking'] = range(1, len(data) + 1) # Set rank
colm = data.columns.tolist()
colm = colm[-1:] + colm[:-1] # rearrange rank column
data = data[colm]
data = data.set_index('Ranking')
# sumboval = data['BOVal'].sum()
# sumboqty = data['BOQty'].sum()
# rounded = sumboval.round()
dates = data['SnapShotDate']
# print(dates)
dates = dates.iloc[1].strftime('%d%m%Y')
sos = data['SOS']
sos = sos[2]
result = pivoted.iloc[:10, :3]
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('%s SBO %s .xlsx' % (sos, dates), engine='xlsxwriter')
# Write each dataframe to a different worksheet.
result.to_excel(writer, sheet_name='pivot')
df.to_excel(writer, sheet_name=dates)
data.to_excel(writer, sheet_name='SBO')
# Close the Pandas Excel writer and output the Excel file.
writer.save()
messagebox.showinfo("Note", "Calculation Completed")
def cbo(self):
csv_file_path = askopenfilename()
Stylemat = askopenfilename()
df = pd.read_excel(csv_file_path)
sm = pd.read_excel(Stylemat)
df = df.drop(df.index[0])
df.insert(loc=8, column='PH', value=['' for i in range(df.shape[0])])
df.insert(loc=9, column='Site', value=['' for i in range(df.shape[0])])
df['Region'] = df['Region'].fillna('"NA"')
df['S&OP Style Aggrt'] = df['S&OP Style Aggrt'].astype(str)
sm['Style'] = sm['Style'].astype(str)
dates = df['Date_Rp']
# print(dates)
dates = dates.iloc[1]
w = list(dates)
w[1] = '-'
w[3] = '-'
temp = w[0]
w[0] = w[2]
w[2] = temp
dates = "".join(w)
rowcount = len(df)
rowstyle = len(sm)
i = 0
j = 0
Style = []
for i in range(rowcount):
for j in range(rowstyle):
if df.iloc[i, 7] == sm.iloc[j, 0]:
df.iloc[i, 8] = 'Horizon'
df.iloc[i, 9] = sm.iloc[j, 2]
table = pd.pivot_table(df[df.PH == 'Horizon'], index='S&OP Style Aggrt', columns='Region',
values='Net CBO Value', aggfunc='sum')
table['Grand Total'] = table.sum(axis=1)
table = table.sort_values(by=['Grand Total'], ascending=False)
table['Ranking'] = range(1, len(table) + 1)
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('CBO %s .xlsx' % dates, engine='xlsxwriter')
# Write each dataframe to a different worksheet.
table.to_excel(writer, sheet_name='pivot')
df.to_excel(writer, sheet_name=dates)
sm.to_excel(writer, sheet_name='StyleMat')
# Close the Pandas Excel writer and output the Excel file.
writer.save()
messagebox.showinfo("Note", "Calculation Completed")
root = Tk()
root.geometry('400x300')
app = Window(root)
root.mainloop()
我想知道如何找到此错误的主要原因以及在哪里查找它，是我的脚本方法不正确还是我需要任何其他文件或模块.提前感谢您的帮助.谢谢
I'd like to know how to find the main reason for this error and where to look for it, is it either my scripting method is incorrect or is there any additional file or module that I need. Appreciate in advance for your help. Thank you
推荐答案
这已经很晚了，但该问题的答案只是 py 到 exe 无法在 numpy 1.17 上执行.降级到numpy 1.16后，程序可以正常运行.
this is quite late, but the answer to that issue is just the py to exe cannot execute on numpy 1.17. after downgrade to numpy 1.16, the program can run normally.
这篇关于py to exe : 无法执行脚本 pyi_rth_win32comgenpy的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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