如何为散景数据表中的行和/或单元格着色?

时间:2018-06-23 00:10:42

标签: bokeh rbokeh bokehjs

Initial table开始,我需要突出显示(color)元素,如表示例Ex. 1, Ex. 2, Ex. 3之一所示。

enter image description here

有什么主意吗?

3 个答案:

答案 0 :(得分:5)

万一其他人可能遇到同样的需求,这是我想到的一些变体。 (感谢Bokeh团队的提示!)

变量1:突出显示 A列> B列

的单元格

代码:

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))

输出:

enter image description here

变量2:突出显示 A列> B列所在的单元格,并为文本着色

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))

输出:
enter image description here

变体3:根据A列和B列之间的多种条件为文本着色

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))

输出:
enter image description here

变式4:根据A列和B列之间的多个条件为文本着色。添加CL3列以突出显示条件

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=['&#9608;' 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))

输出:
enter image description here

答案 1 :(得分:0)

我不知道如何执行示例1和3。但是您可以执行示例2。

这是文件夹应用程序中的自定义CSS:

myapp/templates/styles.css

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

和html模板:

/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>

myapp/main.py中,只需输入创建表格的代码

答案 2 :(得分:0)

如果这对其他人有用...

如果您只想制作一个带有背景颜色列的表格,根据数据源的值每行选取...

data = {'x': range(20), 'color': [Category10[10][i % 10] for i in range(20)]}
data_source = ColumnDataSource(data)
template = """                
            <div style="background:<%= color %>;">
                &ensp;
            </div>
            """
formatter = HTMLTemplateFormatter(template=template)
columns = [
    TableColumn(field='color', title='Key', formatter=formatter),
    TableColumn(field='x', title='X'),
    # ...
]
table = DataTable(source=data_source, columns=columns)