Question

我一直在试图选择要在简单的散景线图中绘制的行。理想的结果是在x轴上使用Date在y轴上使用Value的简单线图。我想使用2个选择窗口小部件来选择Country和Type。

任何建议都值得欢迎！

到目前为止，我的代码：

import pandas as pd
import numpy as np
from bokeh.models.widgets import Select
from bokeh.models import ColumnDataSource, Select, CDSView, GroupFilter
from bokeh.io import show, output_notebook
from bokeh.plotting import figure

output_notebook()

# base
df = pd.DataFrame({'Country': ['A', 'A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B'],
                   'Date': ['01-01-2020', '01-02-2020', '01-03-2020', '01-01-2020', '01-02-2020', '01-03-2020', '01-01-2020', '01-02-2020', '01-03-2020', '01-01-2020', '01-02-2020', '01-03-2020'],
                   'Type': ['X', 'X', 'X', 'Y', 'Y', 'Y', 'X', 'X', 'X', 'Y', 'Y', 'Y'],
                   'Value': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]})
df['Date'] = pd.to_datetime(df['Date'])

source = ColumnDataSource(df)

country_filter = CDSView(source=source, filters=[GroupFilter(column_name='Country', group='A')])
type_filter = CDSView(source=source, filters=[GroupFilter(column_name='Type', group='X')])

country_select = Select(title="Country:", value="A", options=np.unique(source.data['Country']).tolist())
country_select.js_link('value', country_filter, 'group')

type_select = Select(title="Type:", value="X", options=np.unique(source.data['Type']).tolist())
type_select.js_link('value', type_filter, 'group')

p = figure()
p.line(x='Date', y='Value', source=source, view=view)

layout = row(p, column(country_select, type_select))

show(layout)

Answer 1

您几乎明白了。这是一个工作版本。需要注意的两件事：

我不得不手动将组过滤器的更改链接到视图的change信号上-现在Bokeh不在内部进行链接
由于您使用的是行，因此此代码将产生有关使用带有已连接拓扑的字形的过滤器的警告。在您的情况下，可以放心地忽略它

import numpy as np
import pandas as pd
from bokeh.io import show
from bokeh.layouts import row, column
from bokeh.models import ColumnDataSource, Select, CDSView, GroupFilter, CustomJS
from bokeh.plotting import figure

df = pd.DataFrame({'Country': ['A', 'A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B'],
                   'Date': ['01-01-2020', '01-02-2020', '01-03-2020', '01-01-2020', '01-02-2020', '01-03-2020',
                            '01-01-2020', '01-02-2020', '01-03-2020', '01-01-2020', '01-02-2020', '01-03-2020'],
                   'Type': ['X', 'X', 'X', 'Y', 'Y', 'Y', 'X', 'X', 'X', 'Y', 'Y', 'Y'],
                   'Value': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]})
df['Date'] = pd.to_datetime(df['Date'])

source = ColumnDataSource(df)

country_filter = GroupFilter(column_name='Country', group='A')
type_filter = GroupFilter(column_name='Type', group='X')
view = CDSView(source=source, filters=[country_filter, type_filter])

# Alas, we need this manual step to make the view know about the filters' changes.
for f in view.filters:
    f.js_on_change('group', CustomJS(args=dict(view=view),
                                     code="view.properties.filters.change.emit();"))

country_select = Select(title="Country:", value="A", options=np.unique(source.data['Country']).tolist())
country_select.js_link('value', country_filter, 'group')

type_select = Select(title="Type:", value="X", options=np.unique(source.data['Type']).tolist())
type_select.js_link('value', type_filter, 'group')

p = figure()
p.line(x='Date', y='Value', source=source, view=view)

show(row(p, column(country_select, type_select)))

从Bokeh交互式折线图中的ColumnDataSource中选择行

1 个答案: