04. Layout

TOC A. Label Frame B. Padding C. Handling Multiple Labels D. Sticky A. Label Frame Label frame is a plate of widgets. It ...

TOC

tkinter

A. Label Frame

Label frame is a plate of widgets. It can hold other widgets on itself.

labelFrame
Image 1

  • Line 6: To compare labels in label frame, this label is out of the label frame.
  • Line 7: creates label frame. Label frame is in win widget.
  • Line 11 - 14: creates labels in label frame. label frame has its own grid set.

B. Padding

Sometimes, an intentional empty space is required. Padding is the feature for the empty space.

padding
Image 2

  • Line 10: Label 5 has padx and pady properties. Therefore, Label 5 has 30 pixel padding for left and right and 60 pixel padding for up and down. By the padding of Label 5, column 1 has empty space with column 0 and column 2. Also, row 1 has empty space with row 0 and row 2.

C. Handling Multiple Labels

Label frame has an iterator of child widgets. winfo_childe method return child widget.

multipleWidget
Image 3

  • Line 6: creates label frame.
  • Line 13: winfo_children() stores an widget to child.
  • Line 14: grid_configure can update configuration.

D. Sticky

Sticky is a preperty to align widgets. By using this, widget can bias left, right, up and down. Also, it can set the widget at the center, or expand it.

sticky
Image 4

  • Line 6 - 8: creates 3 labels to show grid.
  • Line 10: creates button at the center.
  • Line 11: creates button at the left border. W means WEST.
  • Line 12: creates button at the right boder. E menas EAST.
  • Line 13: creates button at the whole row.

COMMENTS

Name

0 weights,1,abstract class,1,active function,3,adam,2,Adapter,1,affine,2,argmax,1,back propagation,3,binary classification,3,blog,2,Bucket list,1,C++,11,Casting,1,cee,1,checkButton,1,cnn,3,col2im,1,columnspan,1,comboBox,1,concrete class,1,convolution,2,cost function,6,data preprocessing,2,data set,1,deep learning,31,Design Pattern,12,DIP,1,django,1,dnn,2,Don't Repeat Your code,1,drop out,2,ensemble,2,epoch,2,favicon,1,fcn,1,frame,1,gradient descent,5,gru,1,he,1,identify function,1,im2col,1,initialization,1,Lab,9,learning rate,2,LifeLog,1,linear regression,6,logistic function,1,logistic regression,3,logit,3,LSP,1,lstm,1,machine learning,31,matplotlib,1,menu,1,message box,1,mnist,3,mse,1,multinomial classification,3,mutli layer neural network,1,Non Virtual Interface,1,normalization,2,Note,21,numpy,4,one-hot encoding,3,OOP Principles,2,Open Close Principle,1,optimization,1,overfitting,1,padding,2,partial derivative,2,pooling,2,Prototype,1,pure virtual function,1,queue runner,1,radioButton,1,RBM,1,regularization,1,relu,2,reshape,1,restricted boltzmann machine,1,rnn,2,scrolledText,1,sigmoid,2,sigmoid function,1,single layer neural network,1,softmax,6,softmax classification,3,softmax cross entropy with logits,1,softmax function,2,softmax regression,3,softmax-with-loss,2,spinBox,1,SRP,1,standardization,1,sticky,1,stride,1,tab,1,Template Method,1,TensorFlow,31,testing data,1,this,2,tkinter,5,tooltip,1,Toplevel,1,training data,1,vanishing gradient,1,Virtual Copy Constructor,1,Virtual Destructor,1,Virtual Function,1,weight decay,1,xavier,2,xor,3,
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Universe In Computer: 04. Layout
04. Layout
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