Metadata-Version: 2.1
Name: plotlyextreme
Version: 0.0.4
Summary: Simple wrapper functions for plotly visualization package
Home-page: https://github.com/jonathan-marsan/plotlyextreme
Author: Jonathan
License: UNKNOWN
Description: ## PlotlyExtreme
        
        Set of wrapper functions to abstract repetitive tasks related to plotting with
        the plotly library.
        
        The plotly functions are passed as arguments to limit what this package has to
        handle.
        
        ### Current Plots
        
        #### Plot a Big Number
        
        `plots.create_big_number`
        
        ![Big Number](/img/plot_big_number.png?raw=true)
        
        #### Plot Four Dimensions using Buttons
        
        `plots.plot_four_dimensions`
        
        ![Four Dimensions with Annotations](/img/plot_four_dimensions.png?raw=true)
        
        
        ### Example
        
        ```
        import pandas as pd
        from plotly.offline import iplot
        import plotly.graph_objs as go
        import plotly
        
        from plotlyextreme import plots
        
        df = pd.DataFrame({
                            'abc':[1000,5000,3000,1000,1000,1500,8000,1000],
                            'def':[4,5,6,4,6,4,6,4],
                            'ghi':['a', 'b', 'a', 'b', 'a', 'b', 'a', 'b'],
                            'jkl':['z', 'z', 'z', 'z', 'y', 'y', 'y', 'y'],
                            'annotation_one': ['a', 'a', 'a', 'a', 'a', 'a', 'a', 'a'],
                            'annotation_two': ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']
                          })
        
        plots.create_big_number(title='abc', large_number=123, pacing=.7,
                                render_func=iplot)
        
        plots.plot_four_dimensions(df, x='abc', y='def', title='alphabet',
                                   segmentation_col='ghi',    button_col='jkl',
                                   buttons=['z', 'y'], default_visibility='z',
                                   trace_func=go.Scatter, render_func=iplot),
                                   x_layout=go.layout.XAxis(tickformat=',d'))
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
