我正在使用下拉菜单创建多个小部件。我想在删除之前检查小部件是否存在(来自下拉菜单上的先前选择)。我使用以下代码:
self.ndim_options, self.ndim_options_var = self.DropdownMenuCommand(("1","2","3"),'-',"Number of indirect dimensions","-")
def DropdownMenuCommand(self,options,status,name,row):
if row == "-":
row = self.row
optionLabel = tk.Label(self.frame, bg='turquoise')
optionLabel["text"] = name
optionLabel.grid(row=row, column=0, sticky='w')
var = tk.StringVar(self)
var.set(status)
w = tk.OptionMenu(self.frame, var, *options, command = self.setdimensionproperties)
w.config(bg = 'paleturquoise')
w["menu"].config(bg = 'paleturquoise')
w.grid(row=row, column=1)
self.row += 1
return w, var
def setdimensionproperties(self,val):
row = self.RowEnd
if val == "3": #Set parameters for a 4D (3 indirect dimensions)
#Remove any existing weighting functions
if self.weightingFuncNameDim2.winfo_exists():
self.weightingFuncNameDim2.grid_remove()
self.weightingFuncNameDim2, self.weightingFuncNameDim2_var = self.DropdownMenu(("sinebell","gaussian", "sinebell2"),'-', "Weighting function dimension 2",row)
但是,如果尚未创建窗口小部件,则会出现属性错误:
Exception in Tkinter callback
Traceback (most recent call last):
File "/usr/lib/python2.7/lib-tk/Tkinter.py", line 1413, in __call__
return self.func(*args)
File "/usr/lib/python2.7/lib-tk/Tkinter.py", line 3141, in __call__
self.__callback(self.__value, *args)
File "test.py", line 224, in setdimensionproperties
if self.weightingFuncNameDim2.winfo_exists():
AttributeError: Window instance has no attribute 'weightingFuncNameDim2'
理想情况下,如果窗口小部件存在,我希望if语句返回1
,如果不存在,我希望0
,这就是我认为的.winfo_exists()
。我怎样才能解决这个错误?另外,如何确保.grid_remove
删除小部件和标签?
答案 0 :(得分:5)
我看到三种可能的解决方案。按优先顺序排列:
将self.weightingFuncNameDim2 = None
添加到您的班级“__init__
方法”中,并将if
条件更改为if self.weightingFuncNameDim2 is not None and self.weightingFuncNameDim2.winfo_exists():
将您的条件更改为if hasattr(self, "weightingFuncNameDim2") and self.weightingFuncNameDim2.winfo_exists():
将if
块放在try-except块中,捕获并忽略AttributeErrors。
答案 1 :(得分:4)
...但是,如果未创建窗口小部件,我会收到属性错误:
最好的解决方案是确保您的班级始终具有该属性,即使该小部件不存在也是如此。将其设置为None
,然后在创建窗口小部件时将其重置。然后您的条件成为:
if self.weightingFuncNameDim2 is not None:
self.weightingFuncNameDim2.grid_remove()
如何确保.grid_remove同时删除小部件和 标签
grid_remove
将始终只从视图中删除一个小部件。但是,如果该窗口小部件包含其他窗口小部件,那么其他窗口小部件也将从视图中删除。