Metadata-Version: 2.1
Name: plotter
Version: 1.3.11
Summary: Plotting library with descriptive approach
Home-page: http://thomas.trouchkine.com/projects/plotter
Author: Thomas Trouchkine
Author-email: thomas.trouchkine@gmail.com
License: UNKNOWN
Description: # Plotter
        
        ## Description
        Plotter is a plotting library based on `matplotlib`. It intends to simplify the plotting of data in Python by creating a descriptive approach for plots. The plots can be static or dynamic.
        
        ## Source code location
        https://github.com/T-TROUCHKINE/plotter
        
        ## Prerequisities
        ### Linux packages
        - tk :
          - ArchLinux : `pacman -S tk`
          - Debian : `apt install tk`
        
        ### Python modules
        - matplotlib : `pip install matplotlib`
        - tikzplotlib : `pip install tikzplotlib`
        - numpy : `pip install numpy`
        
        **GTK3**  
        For using GTK3 modules see PyGObject documentation (https://pygobject.readthedocs.io/en/latest/index.html)
        
        ## Installation
        ### From PIP
        `pip install plotter`
        
        ### From source
        `python3 setup.py install`
        
        ## Examples
        ### Simplest example:
        The code:
        ```python
        import numpy as np
        from plotter import Plotter
        
        x = np.linspace(-np.pi, np.pi, 201)
        
        to_plot = [{
            "title": "Example",
            "type": "plot",
            "data": [x, np.sin(x)]
        }]
        
        pl = Plotter(to_plot)
        pl.show()
        ```
        Gives:
        
        ![First example](img/ex1.png)
        
        ### Multi-plot:
        The code:
        ```python
        import numpy as np
        from plotter import Plotter
        
        x = np.linspace(-np.pi, np.pi, 201)
        
        to_plot = [{
            "title": "Example 1",
            "type": "plot",
            "data": [x, np.sin(x)]
        },
        {
            "title": "Example 2",
            "type": "matrix",
            "data": np.random.random((100,100))
        }]
        
        pl = Plotter(to_plot, figsuptitle="Multi-plot")
        pl.show()
        ```
        Gives:
        
        ![Second example](img/ex2.png)
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
