Metadata-Version: 2.1
Name: contextplt
Version: 0.2.4
Summary: Context manager style of matplotlib.
Home-page: https://github.com/toshiakiasakura/contextplt
Author: toshiakiasakura
Author-email: wordpress.akitoshi@gmail.com
License: MIT
Description: # contextplt
        [![python](https://img.shields.io/pypi/pyversions/contextplt)](https://www.python.org/)
        [![PyPI](https://img.shields.io/pypi/v/contextplt.svg)](https://pypi.org/project/contextplt/)
        [![license](https://img.shields.io/pypi/l/contextplt?color=blue)](https://github.com/toshiakiasakura/contextplt/blob/main/LICENSE)
        
        Source code repository for the contextplt package.
        
        You can create a matplotlib figure using context manager. 
        This package enables you to write short code and 
        create a lot of figures in a simple manner. 
        
        # Installation 
        ```bash
        pip install contextplt
        ```
        
        # Usage
        You can write the matplotlib figure with context manager like this. 
        ```python
        import contextplt as cplt
        x = [1,2,3]
        y = [1,2,3]
        with cplt.Single(xlim=[0,5], ylim=[0,5], xlabel="xlabel", ylabel="ylabel",
                title="title", figsize=(6,6), dpi=150) as p:
            p.ax.plot(x,y)
        ```
        
        The same figure without context manager becomes,
        ```python
        x = [1,2,3]
        y = [1,2,3]
        fig = plt.figure(figsize=(6,6), dpi=150)
        ax = fig.add_subplot(111)
        ax.plot(x,y)
        ax.set_xlabel("xlabel")
        ax.set_ylabel("ylabel")
        ax.set_xlim([0,5])
        ax.set_ylim([0,5])
        plt.title("title")
        ```
        
        The benefit of context manager is recursive use of parameters using keyword arguments.
        ```python
        kargs = dict(xlim=[0,5], ylim=[0,5], xlabel="xlabel", ylabel="ylabel",
                title="title", figsize=(6,6), dpi=150)
        with cplt.Single(**kargs) as p:
            p.ax.plot(x,y)
        ```
        If you want to replicate this figure options with different values, you just change inside contents of values.
        
        # Note 
        Dockerfile and docker-compose.yml are prepared for running example codes.
        
        
        
Keywords: context matplotlib plt
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
