anscombe

< iris_splom | back to Gallery | choropleth >

                from __future__ import print_function
                
                import numpy as np
                import pandas as pd
                
                from bokeh.browserlib import view
                from bokeh.document import Document
                from bokeh.embed import file_html
                from bokeh.models.glyphs import Circle, Line
                from bokeh.models import (
                    ColumnDataSource, Grid, GridPlot, LinearAxis, Plot, Range1d
                )
                from bokeh.resources import INLINE
                
                raw_columns=[
                [10.0,   8.04,   10.0,   9.14,   10.0,   7.46,   8.0,    6.58],
                [8.0,    6.95,   8.0,    8.14,   8.0,    6.77,   8.0,    5.76],
                [13.0,   7.58,   13.0,   8.74,   13.0,   12.74,  8.0,    7.71],
                [9.0,    8.81,   9.0,    8.77,   9.0,    7.11,   8.0,    8.84],
                [11.0,   8.33,   11.0,   9.26,   11.0,   7.81,   8.0,    8.47],
                [14.0,   9.96,   14.0,   8.10,   14.0,   8.84,   8.0,    7.04],
                [6.0,    7.24,   6.0,    6.13,   6.0,    6.08,   8.0,    5.25],
                [4.0,    4.26,   4.0,    3.10,   4.0,    5.39,   19.0,   12.5],
                [12.0,   10.84,  12.0,   9.13,   12.0,   8.15,   8.0,    5.56],
                [7.0,    4.82,   7.0,    7.26,   7.0,    6.42,   8.0,    7.91],
                [5.0,    5.68,   5.0,    4.74,   5.0,    5.73,   8.0,    6.89]]
                
                quartet = pd.DataFrame(data=raw_columns, columns=
                                       ['Ix','Iy','IIx','IIy','IIIx','IIIy','IVx','IVy'])
                
                
                circles_source = ColumnDataSource(
                    data = dict(
                        xi   = quartet['Ix'],
                        yi   = quartet['Iy'],
                        xii  = quartet['IIx'],
                        yii  = quartet['IIy'],
                        xiii = quartet['IIIx'],
                        yiii = quartet['IIIy'],
                        xiv  = quartet['IVx'],
                        yiv  = quartet['IVy'],
                    )
                   )
                
                x = np.linspace(-0.5, 20.5, 10)
                y = 3 + 0.5 * x
                lines_source = ColumnDataSource(data=dict(x=x, y=y))
                
                xdr = Range1d(start=-0.5, end=20.5)
                ydr = Range1d(start=-0.5, end=20.5)
                
                def make_plot(title, xname, yname):
                    plot = Plot(
                        x_range=xdr, y_range=ydr,
                        title=title, plot_width=400, plot_height=400,
                        border_fill='white', background_fill='#e9e0db'
                    )
                
                    xaxis = LinearAxis(axis_line_color=None)
                    plot.add_layout(xaxis, 'below')
                
                    yaxis = LinearAxis(axis_line_color=None)
                    plot.add_layout(yaxis, 'left')
                
                    plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
                    plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
                
                    line = Line(x='x', y='y', line_color="#666699", line_width=2)
                    plot.add_glyph(lines_source, line)
                
                    circle = Circle(
                        x=xname, y=yname, size=12,
                        fill_color="#cc6633", line_color="#cc6633", fill_alpha=0.5
                    )
                    plot.add_glyph(circles_source, circle)
                
                    return plot
                
                #where will this comment show up
                I   = make_plot('I',   'xi',   'yi')
                II  = make_plot('II',  'xii',  'yii')
                III = make_plot('III', 'xiii', 'yiii')
                IV  = make_plot('IV',  'xiv',  'yiv')
                
                grid = GridPlot(children=[[I, II], [III, IV]], plot_width=800)
                
                doc = Document()
                doc.add(grid)
                
                if __name__ == "__main__":
                    filename = "anscombe.html"
                    with open(filename, "w") as f:
                        f.write(file_html(doc, INLINE, "Anscombe's Quartet"))
                    print("Wrote %s" % filename)
                    view(filename)