https://github.com/lukanedimovic/table_editor

A simple table data editor, with easily scalable functions and operations & a nice GUI
https://github.com/lukanedimovic/table_editor

data data-science formula java parser parsing preprocessing swing tokenizer

Last synced: about 1 year ago
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A simple table data editor, with easily scalable functions and operations & a nice GUI

• Host: GitHub
• URL: https://github.com/lukanedimovic/table_editor
• Owner: LukaNedimovic
• Created: 2024-05-17T05:54:13.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-27T19:35:27.000Z (about 2 years ago)
• Last Synced: 2025-02-09T20:34:32.580Z (over 1 year ago)
• Topics: data, data-science, formula, java, parser, parsing, preprocessing, swing, tokenizer
• Language: Java
• Homepage:
• Size: 314 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
📝 Table Editor


Table Editor is an easily scalable strongly typed editor for tabular data, supporting custom easy-to-add functions and operations and an extensible custom written parser, followed by a neat and intuitive GUI.


Date of creation: May, 2024. 


Here for the updates? Check them out down below @ 🔥 Latest Modifications

 🚀 Quick Start 

Table Editor can be compiled and ran using provided gradlew:


git clone https://github.com/LukaNedimovic/table_editor.git

cd table_editor

./gradlew compileJava run



 🛠️ Basic Features 



  


 Data Types 

  


      
  DTypeDouble  

      
  DTypeInteger  

      
  DTypeBoolean  

      
  DTypeString  

      
  DTypeArray  

    

  

  
 Constant values  

    


      
  Numerical values  - e.g. 2.5, 0.09, 3.14 

      
  String values  - e.g. "apple", "this is not a function".

      
  Boolean values  -  i.e. True and False.

    


  

  Cell References  - e.g. B2, B2:D4



  
  Precedence       - i.e. every operation and function has defined precedence and it is flexible to change.

  

  Parentheses      - i.e. ( and ), with nesting 

  
  Operations  

    


      
 Unary Operations - e.g. + (identity), - (negation). Only prefix operations, as of now. 

      
 Binary Operations - e.g. + (addition), - (subtraction), * (multiplication), / (division), ^ (exponentiation), 
 % (modulo), < (less than), > (greater than) 

    

  

  
 Named (Strongly Typed) Functions 

    


      
 Nullary Functions  - e.g. e(), pi() 

      
 Unary Functions  - e.g. sqrt(x), abs(x) 

      
 Binary Functions  - e.g. pow(x, y), gcd(x, y), lcm(x, y), min(x, y), max(x, y), ifeq(x, y)



    

  



 🔍 Complex Features 

Table Editor was created with flexibility in mind, with minimalistic (but clean!) UI to guide the user through. 


Even though it is a small project, there are some cool features, such as:



  
 New operations - Table Editor provides you with tokenizer & parser that are not restricted to the aforementioned operations. It is easy to add new operations (both unary and binary), and define their functionality within just a few lines of code. 

  
 New (strongly typed) functions - Functions are also very simple to add - interface created lets you create functions with any number of arguments, accepting anything as their arguments and having as complex functionality as you wish. 

  
 Scalability - Table Editor provides scalable code that can generalize onto various datatypes within the table. Functions provided are oriented towards Double data type (i.e. custom-defined DTypeDouble), however one can add various functions and even extend singular function to be capable of accepting different kinds of operators and return different types. 

  
 Event handlers - One-click row and column selection can be scaled into something greater. 



💡 Examples 


  Expression

  Evaluation

  Comment

   =sqrt(abs(-16)) 

   4 

   Function nesting is possible. 

  

   =pow(max(1++1, ---1000), 3) 

   8 

   Same unary / binary operations can be concatenated. 

   =pow(min(B1^2, abs(-1000)), 3.0) 

   64.0 

   For cell value B1 = 4. Casting from DTypeInteger to DTypeDouble is implemented.

   =5 + e() - pi()^2 

   -2.1513225726303133 

   Nullary functions can used for constants, and are treated as numerical values 

   =ifeq(pow(5, 2), 25) 

   True 

   pow(5, 2) returns 25, which is the same as 25.

   =ifeq(2 < 10, 1.0) 

   False 

   2 < 10 evaluates to True, which can't be compared with DTypeDouble(1.0).

   =("abc" < "dddd") + 10 

   11 

   ("abc" < "dddd") evaluates to True, which can be added to the DTypeInteger(10) to get 11!

   =ifeq("w" * 3 + "123", "www123") * 5

   5 

   String concatenation and repetition of N times is supported, too! 


=ifeq("w" * 3 + "123", "www123") * 5   

=ifeq("www" + "123", "www123") * 5

=ifeq("www123", "www123") * 5

=True * 5

=5



  


   =sum([1, 2, 3, 4]) 

   10 

   Functions with variable length of arguments are supported!

   =average(A1:B2) 

   2.5 

   

    For table:

    

        

           

          A

          B

        

        

          1

          1

          2

        

        

          2

          3

          4

        

    

    A1:B2 returns a DTypeArray([[1, 2], [3, 4]]), which is then evaluated to get the result DTypeDouble(2.5)

  

 🔥 Latest Modifications 

Table Editor now supports DTypeArray parsing and, therefore, functions whose arguments are of variable length. 


Table Editor now supports Cell Range References! 


Table Editor now supports DTypeArray - used for manipulation of DType data stored within a multi-dimensional array.


Table Editor is now fully typed! Functions accept typed parameters, and don't do conversions (as they did in the past). 


Tests have been added for operations (type-wise combinations), functions, and general expressions! Make sure to check them out:

./gradlew test

Table Editor now supports DTypeString - used for manipulation of String literals! 


Table Editor now supports DTypeBoolean - used for manipulation of Boolean values (True / False)!