How to color rows and/or cells in a Bokeh DataTable?

Question

Starting from Initial table, I need to highlight(color) elements as shown in either one of the table examples Ex. 1, Ex. 2, Ex. 3.

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Answer 1

In case someone else might bump into the same need, here are some variants that I came up with. (Thanks to Bokeh team for hints!)

Variant 1: Highlight the cell where column A > column B

Code:

from bokeh.io import output_notebook, show
output_notebook()

from random import randint
from bokeh.io import output_file, show
from bokeh.layouts import widgetbox
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import DataTable, DateFormatter, TableColumn, HTMLTemplateFormatter

output_file("data_table.html")

data = dict(
    cola=[randint(0, 100) for i in range(10)],
    colb=[randint(0, 100) for i in range(10)],
)
source = ColumnDataSource(data)

template="""
            <div style="background:<%= 
                (function colorfromint(){
                    if(cola > colb ){
                        return("green")}
                    }()) %>; 
                color: black"> 
            <%= value %>
            </div>
            """
formatter =  HTMLTemplateFormatter(template=template)

columns = [TableColumn(field="cola", title="CL1", width = 100),
           TableColumn(field='colb', title='CL2', formatter=formatter, width = 100)]
data_table = DataTable(source=source,
                       columns=columns,
                       fit_columns=True,
                       selectable = True,
                       sortable = True,
                       width=400,height=400)

show(widgetbox(data_table))

Output:

Variant 2: Highlight the cell where column A > column B and color the text

from bokeh.io import output_notebook, show
output_notebook()

from random import randint
from bokeh.io import output_file, show
from bokeh.layouts import widgetbox
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import DataTable, DateFormatter, TableColumn, HTMLTemplateFormatter

output_file("data_table.html")

data = dict(
    cola=[randint(0, 100) for i in range(10)],
    colb=[randint(0, 100) for i in range(10)],
)
source = ColumnDataSource(data)

template="""
            <div style="background:<%= 
                (function colorfromint(){
                    if(cola > colb ){
                        return("green")}
                    }()) %>; 
                color: <%= 
                    (function colorfromint(){
                        if(cola > colb){return('yellow')}
                        }()) %>;"> 
                <%= value %>
                </font>
            </div>
            """
formatter =  HTMLTemplateFormatter(template=template)

columns = [TableColumn(field="cola", title="CL1", width = 100),
           TableColumn(field='colb', title='CL2', formatter=formatter, width = 100)]
data_table = DataTable(source=source,
                       columns=columns,
                       fit_columns=True,
                       selectable = True,
                       sortable = True,
                       width=400,height=400)

show(widgetbox(data_table))

Output:

Variant 3: Color the text based on multiple conditions between column A and column B

from bokeh.io import output_notebook, show
output_notebook()

from random import randint
from bokeh.io import output_file, show
from bokeh.layouts import widgetbox
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import DataTable, DateFormatter, TableColumn, HTMLTemplateFormatter

output_file("data_table.html")

data = dict(
    cola=[5, 6, 7, 20, 30, 40, 50, 60, 70, 80],
    colb=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
)
source = ColumnDataSource(data)

template="""                
            <p style="color:<%= 
                (function colorfromint(){
                    if (1 < Math.abs(cola - colb) && Math.abs(cola - colb) < 10)
                        {return('green')}
                    else if (10 < Math.abs(cola - colb) && Math.abs(cola - colb) < 40)
                        {return('blue')}
                    else 
                        {return('red')}
                    }()) %>;"> 
                <%= value %>
            </p>
            """
formatter =  HTMLTemplateFormatter(template=template)

columns = [TableColumn(field="cola", title="CL1", width = 100),
           TableColumn(field='colb', title='CL2', formatter=formatter, width = 100)
          ]
data_table = DataTable(source=source,
                       columns=columns,
                       fit_columns=True,
                       selectable = True,
                       sortable = True,
                       width=400,height=400)

show(widgetbox(data_table))

Output:

Variant 4: Color the text based on multiple conditions between column A and column B. Add column CL3 to highlight the conditions

from bokeh.io import output_notebook, show
output_notebook()

from random import randint
from bokeh.io import output_file, show
from bokeh.layouts import widgetbox
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import DataTable, DateFormatter, TableColumn, HTMLTemplateFormatter

output_file("data_table.html")

data = dict(
    cola=[randint(0, 100) for i in range(10)],
    colb=[randint(0, 100) for i in range(10)],
    colc=['█' for i in range(10)]
)

source = ColumnDataSource(data)

template="""                
            <p style="color:<%= 
                (function colorfromint(){
                    if (1 < Math.abs(cola - colb) && Math.abs(cola - colb) < 10)
                        {return('green')}
                    else if (10 < Math.abs(cola - colb) && Math.abs(cola - colb) < 40)
                        {return('blue')}
                    else 
                        {return('red')}
                    }()) %>;"> 
                <%= value %>
            </p>
            """
formatter =  HTMLTemplateFormatter(template=template)

columns = [TableColumn(field="cola", title="CL1", width = 100),
           TableColumn(field='colb', title='CL2', formatter=formatter, width = 100),
           TableColumn(field='colc', title='CL3', formatter=formatter, width = 5)
          ]
data_table = DataTable(source=source,
                       columns=columns,
                       fit_columns=True,
                       selectable = True,
                       sortable = True,
                       width=400,height=400)

show(widgetbox(data_table))

Output:

Answer 2

I don't know how to do example 1 and 3. But you can do example 2.

Here it is with custom css in a folder app:

myapp/templates/styles.css:

.bk-root .slick-cell.selected {
    background: lightblue;
    color:red;
}

And the html template:

/myapp/templates/index.html:

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="utf-8">
    {{ bokeh_css }}
    {{ bokeh_js }}
  </head>
  <body>
    <style type="text/css">
      {% include 'styles.css' %}
    </style>
    {{ plot_div|indent(8) }}
    {{ plot_script|indent(8) }}
  </body>
</html>

And in myapp/main.py just have your code that makes the table