Metadata-Version: 2.1
Name: quilter
Version: 0.0.3
Summary: Python implementation of the R package patchwork, but for Matplotlib
Home-page: https://github.com/bbcho/quilter-dev
Author: Ben Cho
Author-email: ben.cho@gmail.com
License: MIT License
Description: # Quilter
        ## The composer of Matplotlib plots. Python implementation of the R package patchwork. 
        
        This package overloads/creates operators for the matplotlib Figure class so that you can add and divide figures together into a new figure with subplots. 
        
        Adding two figures together creates a new figure with the original figures side-by-side as subplots. Dividing will stack the figured on top of each other. 
        
        Currently the package converts the input figures to images before reloading the images into the axes objects of the output figure. If anyone has a better way to copy actual axes objects to a new figure I'd loved help.
        
        Here are some examples:
        
        ```
        import matplotlib.pyplot as plt
        import quilter # best to put this after your matplotlib import
        
        fig1, ax1 = plt.subplots(figsize=(5,3))
        ax1.plot([1, 2], label='my leg')
        ax1.set_title("test")
        ax1.legend()
        
        fig2, ax2 = plt.subplots(figsize=(5,3))
        ax2.plot([2, 2])
        ax2.set_title("test 2")
        ```
        
        Adding figures together
        ```
        out = fig1 + fig2
        ```
        
        Dividing figures
        ```
        out = fig1 / fig2
        ```
        
        More complex examples
        ```
        out = (fig1 + fig2) / fig2
        
        out = (fig1 + fig2) / (fig1 + fig2)
        ```
        
Keywords: quilter,patchwork,matplotlib,plot,compose
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
