old_contents: 
  import pandas as pd
  
  from bokeh.charts import HeatMap, bins, output_file, show, vplot
  from bokeh.sampledata.autompg import autompg
  from bokeh.palettes import RdYlGn6, RdYlGn9
  from bokeh.sampledata.unemployment1948 import data
  
  # setup data sources
  del data['Annual']
  data['Year'] = data['Year'].astype(str)
  unempl = pd.melt(data, var_name='Month', value_name='Unemployment', id_vars=['Year'])
  
  fruits = {'fruit': ['apples', 'apples', 'apples', 'apples', 'apples',
                      'pears', 'pears', 'pears', 'pears', 'pears',
                      'bananas', 'bananas', 'bananas', 'bananas', 'bananas'],
              'mix': ['pears', 'pears', 'pears', 'pears', 'pears',
                      'bananas', 'bananas', 'bananas', 'bananas', 'bananas',
                      'apples', 'apples', 'apples', 'apples', 'apples'],
            'fruit_count': [4, 5, 8, 12, 4, 6, 5, 4, 8, 7, 1, 2, 4, 8, 12],
            'year': [2009, 2010, 2011, 2012, 2013, 2009, 2010, 2011, 2012, 2013, 2009, 2010,
                     2011, 2012, 2013]}
  fruits['year'] = [str(yr) for yr in fruits['year']]
  
  hm1 = HeatMap(autompg, x=bins('mpg'), y=bins('displ'))
  
  hm2 = HeatMap(autompg, x=bins('mpg'), y=bins('displ'), values='cyl', stat='mean')
  
  hm3 = HeatMap(autompg, x=bins('mpg'), y=bins('displ', bin_count=15),
                values='cyl', stat='mean')
  
  hm4 = HeatMap(autompg, x=bins('mpg'), y='cyl', values='displ', stat='mean')
  
  hm5 = HeatMap(autompg, y=bins('displ'), x=bins('mpg'), values='cyl', stat='mean',
                spacing_ratio=0.9)
  
  hm6 = HeatMap(autompg, x=bins('mpg'), y=bins('displ'), stat='mean', values='cyl',
                palette=RdYlGn6)
  
  hm7 = HeatMap(autompg, x=bins('mpg'), y=bins('displ'), stat='mean', values='cyl',
                palette=RdYlGn9)
  
  hm8 = HeatMap(autompg, x=bins('mpg'), y=bins('displ'), values='cyl',
                stat='mean', legend='top_right')
  
  hm9 = HeatMap(fruits, y='year', x='fruit', values='fruit_count', stat=None)
  hm10 = HeatMap(fruits, y='mix', x='fruit', values='fruit_count', stat=None)
  # hm10 = HeatMap(unempl, x='Year', y='Month', values='Unemployment', stat=None,
  #               sort_dim={'x': False}, width=1000)
  
  output_file("heatmap.html")
  
  show(vplot(hm1, hm2, hm3, hm4, hm5, hm6, hm7, hm8, hm9, hm10))
  
new_contents: 
  import pandas as pd
  
  from bokeh.charts import HeatMap, bins, output_file, show, vplot
  from bokeh.sampledata.autompg import autompg
  from bokeh.palettes import RdYlGn6, RdYlGn9
  from bokeh.sampledata.unemployment1948 import data
  
  # setup data sources
  del data['Annual']
  data['Year'] = data['Year'].astype(str)
  unempl = pd.melt(data, var_name='Month', value_name='Unemployment', id_vars=['Year'])
  
  fruits = {'fruit': ['apples', 'apples', 'apples', 'apples', 'apples',
                      'pears', 'pears', 'pears', 'pears', 'pears',
                      'bananas', 'bananas', 'bananas', 'bananas', 'bananas'],
            'fruit_count': [4, 5, 8, 12, 4, 6, 5, 4, 8, 7, 1, 2, 4, 8, 12],
            'year': [2009, 2010, 2011, 2012, 2013, 2009, 2010, 2011, 2012, 2013, 2009, 2010,
                     2011, 2012, 2013]}
  fruits['year'] = [str(yr) for yr in fruits['year']]
  
  hm1 = HeatMap(autompg, x=bins('mpg'), y=bins('displ'))
  
  hm2 = HeatMap(autompg, x=bins('mpg'), y=bins('displ'), values='cyl', stat='mean')
  
  hm3 = HeatMap(autompg, x=bins('mpg'), y=bins('displ', bin_count=15),
                values='cyl', stat='mean')
  
  hm4 = HeatMap(autompg, x=bins('mpg'), y='cyl', values='displ', stat='mean')
  
  hm5 = HeatMap(autompg, y=bins('displ'), x=bins('mpg'), values='cyl', stat='mean',
                spacing_ratio=0.9)
  
  hm6 = HeatMap(autompg, x=bins('mpg'), y=bins('displ'), stat='mean', values='cyl',
                palette=RdYlGn6)
  
  hm7 = HeatMap(autompg, x=bins('mpg'), y=bins('displ'), stat='mean', values='cyl',
                palette=RdYlGn9)
  
  hm8 = HeatMap(autompg, x=bins('mpg'), y=bins('displ'), values='cyl',
                stat='mean', legend='top_right')
  
  hm9 = HeatMap(fruits, y='year', x='fruit', values='fruit_count', stat=None)
  hm10 = HeatMap(unempl, x='Year', y='Month', values='Unemployment', stat=None,
                sort_dim={'x': False}, width=1000)
  
  output_file("heatmap.html")
  
  show(vplot(hm1, hm2, hm3, hm4, hm5, hm6, hm7, hm8, hm9, hm10))
  
subject: revert changes not intended