In [1]:

    

import pandas as pd

from bokeh.plotting import output_notebook, show
output_notebook()


    

    





    
        
        
        
    

        
        BokehJS successfully loaded.
    

In [2]:

    

from bokeh.models import Plot, Patch, Patches, ColumnDataSource, Range1d, LinearAxis, HoverTool, TapTool
from bokeh.palettes import Spectral3, Spectral4
from bokeh._version import version_version


    

In [3]:

    

version_version


    

    
Out[3]:





'0.9.0'

In [4]:

    

patch_data = pd.DataFrame(
    {
        'oil'  : [1, 2, 3, 1],
        'gas'  : [3, 2, 2, 3],
        'solar': [0, 1, 1, 1]
    }, 
    index= [2010, 2011, 2012, 2013]
)
patch_data


    

    
Out[4]:






  

    

      

      
gas
      
oil
      
solar
    
  
  

    

      
2010
      
 3
      
 1
      
 0
    
    

      
2011
      
 2
      
 2
      
 1
    
    

      
2012
      
 2
      
 3
      
 1
    
    

      
2013
      
 3
      
 1
      
 1
    
  

In [5]:

    

def make_patch_plot(xrange):
    source = ColumnDataSource(patch_data)
    plot = Plot(
        title=None, 
        x_range=xrange, y_range=Range1d(0,5),
        plot_width=300, plot_height=300,
        min_border=0, toolbar_location=None)

    for i, energy in enumerate(['gas', 'oil', 'solar']):
        glyph = Patch(
            x='index', y=energy, 
            fill_color=Spectral3[i], fill_alpha=0.5,
            line_color='#CCC', line_alpha=0.5
        )
        plot.add_glyph(source, glyph)
       
    return plot


    

In [6]:

    

asc = make_patch_plot(Range1d(2010, 2013))
asc.add_layout(LinearAxis(), 'below')
asc.add_layout(LinearAxis(), 'left')
asc.add_tools(HoverTool(tooltips=('hello world')))
asc.add_tools(TapTool())
show(asc)


    

In [7]:

    

desc = make_patch_plot(Range1d(2013, 2010))
show(desc)


    

In [8]:

    

patches_data = pd.DataFrame(
    {
        'xs'  : [[1, 2, 3, 1], [2, 4, 6, 2], [3, 6, 9, 3], [1, -1, -2, 0] ],
        'ys'  : [[0, 1, 5, -1], [8, -3, 4, 0], [3, 4, 5, 4], [1, 4, 0, 2]],
        'value': [Spectral4[0], Spectral4[1], Spectral4[2], Spectral4[3]]
    }, 
)
patches_data


    

    
Out[8]:






  

    

      

      
value
      
xs
      
ys
    
  
  

    

      
0
      
 #2b83ba
      
   [1, 2, 3, 1]
      
 [0, 1, 5, -1]
    
    

      
1
      
 #abdda4
      
   [2, 4, 6, 2]
      
 [8, -3, 4, 0]
    
    

      
2
      
 #fdae61
      
   [3, 6, 9, 3]
      
  [3, 4, 5, 4]
    
    

      
3
      
 #d7191c
      
 [1, -1, -2, 0]
      
  [1, 4, 0, 2]
    
  

In [9]:

    

def make_patches_plot(xrange, yrange):
    source = ColumnDataSource(patches_data)
    plot = Plot(
        title=None, 
        x_range=xrange, y_range=yrange,
        plot_width=300, plot_height=300,
        min_border=0, toolbar_location=None)

    glyph = Patches(xs='xs', ys='ys', fill_color='value', line_color='#CCC')
    plot.add_glyph(source, glyph)
    return plot


    

In [10]:

    

patches = make_patches_plot(Range1d(-5, 10), Range1d(-5,10))
patches.add_tools(HoverTool(tooltips='hello world'))
show(patches)


    

In [11]:

    

patches_rev = make_patches_plot(Range1d(10, -5), Range1d(-5, 10))
show(patches_rev)