我正在使用tkinter模块创建一个简单的计算程序，并希望转换为exe，因为我希望它可以在任何pc上执行。但是以某种方式显示了错误消息（无法执行脚本pyi_rth_win32comgenpy）。
我尝试使用pyinstaller（cmd和GitHub上的一个：https://github.com/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）
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寻找它，是我的脚本编制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
答案 0 :(得分：0)
由于没有包含您曾经使用过的failed to execute script pyi_rth_win32comgenpy和images导致的错误icons
我包括了图标，问号和标题的图像
复制此图像，并将其包含在您具有labels可执行文件的目录中。
答案 1 :(得分：0)
我卸载了与win32相关的所有内容（class User {
private KeycloakUser keycloakUser;
private OtherUser otherUser;
}
User user = new User();
userService.saveUser(user);
// UserService
void saveUser(User user) {
UserEntity userEntity = userMapper.toUserEntity(user.getOtherUser());
userRespository.save(userEntity);
CreateUserRequest request = userMapper.toCreateUserRequest(user.getKeycloakUser());
keyCloakClient.createUser(request);
}
// UserMapper
UserEntity toUserEntity(OtherUser user) {
UserEntity result = new UserEntity();
result.setName(user.getName());
return resut;
}
，pypiwin32，pywin32，pywin32-ctypes），然后再次安装并神奇地工作了。
答案 2 :(得分：-1)
这已经很晚了，但该问题的答案只是exe的py无法在numpy 1.17上执行。降级为numpy 1.16后，程序可以正常运行。