Python Tkinter 笔记本小部件 [英] Python Tkinter Notebook widget
本文介绍了Python Tkinter 笔记本小部件的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
使用 this python recipe，我在我的 Tk 上创建了一个类似笔记本的小部件窗户.一切正常，直到我尝试将图像添加到每个选项卡中.当我将图像添加到选项卡中时，我最初设置的文本不再显示.我想知道我是否可以使文本(在这种情况下是选项卡一个")显示在图像的正下方.以下是我当前的代码:
Using this python recipe, i have created a notebook like widget on my Tk window. It all works fine until i tried to add an image into each tab. When i add image into the tab, the text i initially set were no longer shown. I am wondering if i can make the text (in this case is "tab one") to show right below the image.The following is my current code:
from Tkinter import *
class Notebook(Frame):
def __init__(self, parent, activerelief = SOLID, inactiverelief = SOLID, xpad = 4, ypad = 4, activefg = 'black',activebg='green',inactivebg='grey',bd=1,inactivefg = 'black', **kw):
self.activefg = activefg
self.activebg=activebg
self.bd=bd
self.inactivebg=inactivebg
self.inactivefg = inactivefg
self.deletedTabs = []
self.xpad = xpad
self.ypad = ypad
self.activerelief = activerelief
self.inactiverelief = inactiverelief
self.kwargs = kw
self.tabVars = {}
self.tabs = 0
self.noteBookFrame = Frame(parent)
self.BFrame = Frame(self.noteBookFrame)
self.noteBook = Frame(self.noteBookFrame, relief = RAISED, bd = 1, **kw)
self.noteBook.grid_propagate(0)
Frame.__init__(self)
self.noteBookFrame.grid()
self.BFrame.grid(row =0, sticky = W)
self.noteBook.grid(row = 1, column = 0, columnspan = 27)
def add_tab(self, width = 1, **kw):
temp = self.tabs
self.tabVars[self.tabs] = [Label(self.BFrame, relief = RIDGE, **kw)]
self.tabVars[self.tabs][0].bind("<Button-1>", lambda Event:self.change_tab(temp))
self.tabVars[self.tabs][0].pack(side = LEFT, ipady = self.ypad, ipadx = self.xpad)
self.tabVars[self.tabs].append(Frame(self.noteBook, **self.kwargs))
self.tabVars[self.tabs][1].grid(row = 0, column = 0)
self.change_tab(0)
self.tabs += 1
return self.tabVars[temp][1]
def change_tab(self, IDNum):
for i in (a for a in range(0, len(self.tabVars.keys()))):
if not i in self.deletedTabs:
if i <> IDNum:
self.tabVars[i][1].grid_remove()
self.tabVars[i][0]['relief'] = self.inactiverelief
self.tabVars[i][0]['fg'] = self.inactivefg
self.tabVars[i][0]['bg'] = self.inactivebg
self.tabVars[i][0]['bd'] = self.bd
else:
self.tabVars[i][1].grid()
self.tabVars[IDNum][0]['relief'] = self.activerelief
self.tabVars[i][0]['fg'] = self.activefg
self.tabVars[i][0]['bg'] = self.activebg
self.tabVars[i][0]['bd'] = self.bd
root=Tk()
scheduledimage=PhotoImage(data="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")
note=Notebook(root, width= 400, height =400, activefg = 'red', inactivefg = 'blue')
note.grid()
tab1 = note.add_tab(text = "Tab One",image=scheduledimage)
tab2 = note.add_tab(text = "Tab Two")
tab3 = note.add_tab(text = "Tab Three")
root.mainloop()
推荐答案
标签参考:复合
控制如何在标签中组合文本和图像.默认情况下，如果给出图像或位图，则绘制它而不是文本.如果此选项设置为 CENTER，则文本将绘制在图像顶部.如果此选项设置为 BOTTOM、LEFT、RIGHT 或 TOP 之一，则在文本(使用 BOTTOM 在文本下方绘制图像等).默认为 NONE.
Controls how to combine text and image in the label. By default, if an image or bitmap is given, it is drawn instead of the text. If this option is set to CENTER, the text is drawn on top of the image. If this option is set to one of BOTTOM, LEFT, RIGHT, or TOP, the image is drawn besides the text (use BOTTOM to draw the image under the text, etc.). Default is NONE.
tab1 = note.add_tab(text = "Tab One",image=scheduledimage, compound=TOP)
ttk.Notebook 示例:
from Tkinter import *
from ttk import *
root = Tk()
scheduledimage=PhotoImage(...)
note = Notebook(root)
tab1 = Frame(note)
tab2 = Frame(note)
tab3 = Frame(note)
Button(tab1, text='Exit', command=root.destroy).pack(padx=100, pady=100)
note.add(tab1, text = "Tab One",image=scheduledimage, compound=TOP)
note.add(tab2, text = "Tab Two")
note.add(tab3, text = "Tab Three")
note.pack()
root.mainloop()
exit()
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