Metadata-Version: 2.1
Name: lazyplotly
Version: 1.1
Summary: A wrapper of plolty which makes adding widget much more easy (and lazy)
Home-page: https://github.com/billju/lazyplotly
Author: chuboy
License: UNKNOWN
Description: # lazyplotly
        A wrapper of interactive visualization package plotly. Sometimes we are just too lazy to writer every parameter. Especially creating dropdown menus or slide bars is a way too time-consuming. How about write it simply with a line of code?
        
        ### Installation
        ```
        $ pip install plotly lazyplotly
        ```
        ### Quick Start
        ```
        import lazyplotly as lp
        
        # using list data type to fit
        bar = lp.bar(x=[1,2,3], y=[23,43,32], cmap='Viridis')
        
        # add layout in plot function
        lp.plot(bar,xlabel='category', ylabel='value', title='MyAwesomeTitle')
        ```
        ### Custom extension
        ```
        # using dataframe object by setting xy variables with column name
        df = dict(order=[1,2,3,4,5],lower=[21,32,43,54,32],upper=[23,34,50,60,60])
        area = lp.area(x='order', y='lower', y2='upper', df=df, color='orange')
        
        # add output variable to export as a html file
        lp.plot(
            data = area, 
            rangeslider = True,
            layout = dict(title='So Easy Right?'),
            config = dict(displayModeBar=True),
            output = 'MyPlot.html'
        )
        ```
        ### Subplot
        ```
        df = dict(x=[1,2,3,4,5],y=[21,32,43,54,32],y2=[23,34,50,60,60])
        df2 = dict(x=[1,2,3,4,5],y=[23,35,43,34,22],y2=[25,43,60,60,70])
        
        bar = lp.bar(x='x', y='y', df=df, name='season 1', color='#c2185b')
        bar1 = lp.bar(x='x', y='y2', df=df2, name='season 2', color='#0097a7')
        bar2 = lp.bar(x='x', y='y', df=df, name='season 3', color='#afb42b')
        bar3 = lp.bar(x='x', y='y2', df=df2, name='season 4', color='#0288d1')
        lp.plot([bar,bar1,bar2,bar3], rows=2)
        ```
        ```
        # subplot with grouped stack bar
        lp.plot([[bar,bar1],[bar2,bar3]], cols=2, layout=dict(barmode='stack'))
        ```
        ```
        # subplot with pie charts
        pie = lp.pie(x='x',y='y',df=df)
        pie1 = lp.pie(x='x',y='y',df=df, hole=0.2)
        pie2 = lp.pie(x='x',y='y',df=df, hole=0.4)
        lp.plot([pie,pie1,pie2],cols=3)
        ```
        ### Boxplot
        ```
        box = lp.box(y='y',df=df)
        box1 = lp.box(y='y2',df=df)
        box2 = lp.box(y='y',df=df2)
        box3 = lp.box(y='y2',df=df2)
        lp.plot([box,box1,box2,box3])
        ```
        ### 3D scatter
        ```
        df = dict(x=[1,2,3,4,5],y=[21,32,43,54,32],z=[23,34,50,60,60])
        
        scatter3d = lp.scatter3d(x='x',y='y',z='z', df=df)
        lp.plot(scatter3d, no_padding=True)
        ```
        ### Widget
        ```
        df = dict(x=[1,2,3,4,5],y=[21,32,43,54,32],y2=[23,34,50,60,60])
        df2 = dict(x=[1,2,3,4,5],y=[23,35,43,34,22],y2=[25,43,60,60,70])
        
        scatter = lp.scatter(x='x',y='y',df=df)
        scatter1 = lp.scatter(x='x',y='y2',df=df)
        scatter2 = lp.scatter(x='x',y='y',df=df2)
        scatter3 = lp.scatter(x='x',y='y2',df=df2)
        
        # dropdown menu (wrap datas with two dimensional list)
        lp.dropdown([[scatter,scatter1],[scatter2,scatter3]])
        
        # slider bar
        lp.slider([[scatter],[scatter1],[scatter2],[scatter3]])
        ```
        ### Some charts are only supported with dataframe
        ```
        import pandas as pd
        
        df = pd.DataFrame(dict(origin=[1,2,3,4,5],destin=[21,32,43,54,32],count=[23,34,50,60,60]))
        # heatmap
        lp.plot(lp.heatmap(df=df, cmap='Viridis'))
        
        # sankey diagram
        sankey = lp.sankey(df=df)
        lp.dropdown([[sankey],[sankey]])
        ```
        ### APIs
        ```
        lp.cmap     # show all colorscales available in plotly
        plot()      # subplot(data, layout=None, output=False, config=None,
                                cols=None, rows=None, rangeslider=False,
                                no_padding=False, title='', xlabel='', ylabel='')
        dropdown()  # accept two dim lists
        slider()    # same as dropdown
        bar(x, y, df, name, color, cmap)
        scatter(x, y, df, name, color)
        scatter3d(x, y, z, df, name, color, cmap)
        line(x, y, df, name, color)
        line3d(x, y, z, df, name, color)
        area(x, y, y2, df, name, color)
        area3d(x, y, z, df, name, color)
        mesh3d(x, y, z, df, name, color)
        box(y, df, name, color)
        histogram(x, df, name, color, <int>bins, <bool>cum, <bool>prob)
        pie(x, x2, y, df, name, hole, color)
        heatmap(df, cmap)
        sankey(df)
        ```
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: Visualization
Description-Content-Type: text/markdown
