Metadata-Version: 2.1
Name: pyTruthTable
Version: 0.0.2
Summary: A python tool for logic clauses analysis and binary operations
Home-page: https://leomariga.github.io/pyTruthTable/
Author: Leonardo Mariga
Author-email: leomariga@gmail.com
License: UNKNOWN
Project-URL: Source, https://github.com/leomariga/pyTruthTable
Project-URL: Documentation, https://leomariga.github.io/pyTruthTable/
Description: <div align="center">
          <img src="https://raw.githubusercontent.com/leomariga/pyTruthTable/master/doc/logo.png"><br>
        </div>
        
        -----------------
        [![PyPI Latest Release](https://img.shields.io/pypi/v/pyTruthTable.svg?style=for-the-badge)](https://pypi.org/project/pyTruthTable/)
        [![License](https://img.shields.io/pypi/l/pyTruthTable.svg?style=for-the-badge)](https://github.com/leomariga/pyTruthTable/blob/master/LICENSE)
        
        ## What is pyTruthTable?
        **_pyTruthTable_** is a python library to create logical tables and make relations between its elements. It makes possible prepositional logic clauses analysis and  binary operations to be used in classic logical problems.
        
        #### Features:
         - Uses Pandas Dataframe.
         - Big set of logic operations.
         - Simplified function calls.
         - Automatic column naming.
         - Customizible appearence.
        
        
        ## Installation
        Requirements: Python 3 and [Pandas](https://github.com/pandas-dev/pandas).
        
        Install with [Pypi](https://pypi.org/project/pyTruthTable/):
        
        ```sh
        pip3 install pyTruthTable
        ```
        
        ### Take a look: 
        
        ##### Example 1 - Binary operations
        
        ``` python
        import pyTruthTable as ptt
        
        # Initialize
        t_table = ptt.PyTruthTable(["A", "B"])
        
        # Create relations
        t_table.append("not", "A")
        t_table.append("and", "A", "B")
        t_table.append("or", 2, "B")    # Use the column index or name
        t_table.append("xor", -2, -1)
        t_table.append("nand", -1, 0, name = "C") # Rename column
        t_table.append("equals", "C", "A")
        ```
        
        |   A   |   B   |  ¬ A  | A ^ B | ¬ A v B | (A ^ B) ⊕ (¬ A v B) |   C  | C ↔ A |
        |:-----:|:-----:|:-----:|:-----:|:-------:|:-------------------:|:----:|:-----:|
        |  True |  True | False |  True |   True  |        False        | True |  True |
        |  True | False | False | False |  False  |        False        | True |  True |
        | False |  True |  True | False |   True  |         True        | True | False |
        | False | False |  True | False |   True  |         True        | True | False |
        
        ##### Example 2 - Prepositional logic clauses
        
        ``` python
        import pyTruthTable as ptt
        
        # Initialize
        tt = ptt.PyTruthTable(["Hot", "Wet", "Rains"])
        
        # Append new column with specified operation
        tt.append("and", "Hot", "Wet")
        tt.append("implies", 3, "Rains")
        ```
        
        |  Hot  |  Wet  | Rains | Hot ^ Wet | (Hot ^ Wet) → (Rains) |
        |:-----:|:-----:|:-----:|:---------:|:---------------------:|
        |  True |  True |  True |    True   |          True         |
        |  True |  True | False |    True   |         False         |
        |  True | False |  True |   False   |          True         |
        |  True | False | False |   False   |          True         |
        | False |  True |  True |   False   |          True         |
        | False |  True | False |   False   |          True         |
        | False | False |  True |   False   |          True         |
        | False | False | False |   False   |          True         |
        
        ### See more examples here
        
        
        ## Documentation & other links
         - The [amazing documentation is this Ṕage](https://leomariga.github.io/pyTruthTable/).
         - Source code in the [Github repository](https://github.com/leomariga/pyTruthTable).
         - [Pypi pakage installer](https://pypi.org/project/pyTruthTable/)
        
        
        ## License
        [MIT](LICENSE)
        
        ## Contributing is awesome!
        
        See [CONTRIBUTING](CONTRIBUTING.md)
        
        
        
        
        ## Contact
        
        Developed with :heart: by [Leonardo Mariga](https://github.com/leomariga) 
        
        leomariga@gmail.com
        
        Did you like it? Remember to click on :star2: button.
        
Keywords: truth table python generation logic pandas dataframe
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
