Metadata-Version: 2.1
Name: bokeh_plot
Version: 0.1.6
Summary: Matlab-inspired call syntax for bokeh plots
Home-page: https://github.com/axil/bokeh-plot
Author: Lev Maximov
Author-email: lev.maximov@gmail.com
License: MIT License
Description: # bokeh-plot
        
        ## Installation: 
        
            pip install bokeh-plot
        
        ## Usage:
        
        To load this extension in jupyter notebook:
        
            %load_ext bokeh_plot
        
        The following syntax is supported:
        
            plot([1,4,9])             # x is automatic 
            plot([1,4,9], '.-')       # line and dots 
            plot([1,2,3], [1,4,9])    # x and y 
            plot([1,2,3], [1,4,9], '.-')    # x, y and line style
            plot([1,2,3], [1,4,9], '.-', [1,2,3], [1,8,27], '.-g')   # two plots, the second one is green
        
        <img src="https://raw.githubusercontent.com/axil/bokeh-plot/master/img/screenshot.png" width="800">
        
        The following markers are supported so far:
        
            '.' dots
            '-' line
            '.-' dots+line
        
        The following colors are supported so far:
        
            'b' blue
            'g' green
            'r' red
            'o' orange
            
        NB The color specifier must go after the marker if both are present.
        
        
        ## Advanced usage
        
        `semilogx()`, `semilogy()` and `loglog()` show (semi)logarithmic plots with the same syntax as `plot()`.
        
        `plot(x, y, hover=True)` displays point coordinates on mouse hover.
        
Keywords: bokeh,jupyter,notebook,plot
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
