如何使用选择工具更新散景中的借口

Question

我有一个散景图，它通过选择工具更新我的图。选择工具包含用于更新x='Polarity'和y='Subjectivity'值的绘图的主题。

这是我想要的虚拟数据：

import pandas as pd
import random
list_type = ['All', 'Compliment', 'Sport', 'Remaining', 'Finance', 'Infrastructure', 'Complaint', 'Authority',
'Danger', 'Health', 'English']

df = pd.concat([pd.DataFrame({'Subject' : [list_type[i] for t in range(110)], 
'Polarity' : [random.random() for t in range(110)],
'Subjectivity' : [random.random() for t in range(110)]}) for i in range(len(list_type))], axis=0)

我更新情节的代码如下所示：

options = []
options.append('All')
options.extend(df['Subject'].unique().tolist())
source = ColumnDataSource(df)
p = figure()
r = p.circle(x='Polarity', y='Subjectivity', source = source)
select = Select(title="Subject",  options=options, value="All")
output_notebook()
def update_plot(attr, old, new):
if select.value=="All":
df_filter = df.copy()
else:
df_filter = df[df['Subject']==select.value]
source1 = ColumnDataSource(df_filter)
r.data_source.data = source1.data
select.on_change('value', update_plot)
layout = column(row(select, width=400), p)
#show(layout)
curdoc().add_root(layout)

我想添加一个具有df.describe()的"借口"，可以通过选择工具随情节更新。我通过添加这些代码来尝试此操作，但它不显示任何内容：

stats = PreText(text='', width=500)
t1 = select.value
def update_stats(df, t1):
stats.text = str(df[[t1, select.value+'_returns']].describe())

select.on_change('value', update_plot, update_stats)
layout = column(row(select, width=400), p, stats)
curdoc().add_root(layout)
show(layout)

有人知道解决方案吗？谢谢！

Answer 1

您不需要两个单独的函数，您只需更改原始函数update_plot添加语句即可将PreText的文本更改为stats.text = str(df_filter.describe())。该函数将如下所示 -

def update_plot(attr, old, new):
if select.value=="All":
df_filter = df.copy()
else:
df_filter = df[df['Subject']==select.value]
source1 = ColumnDataSource(df_filter)
r.data_source.data = source1.data
stats.text = str(df_filter.describe())

整个代码

from bokeh.models.widgets import Select, PreText
from bokeh.layouts import column, row
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, curdoc
from bokeh.plotting import figure, show
import pandas as pd
import random

list_type = ['All', 'Compliment', 'Sport', 'Remaining', 'Finance', 'Infrastructure', 'Complaint', 'Authority',
'Danger', 'Health', 'English']

df = pd.concat([pd.DataFrame({'Subject' : [list_type[i] for t in range(110)], 
'Polarity' : [random.random() for t in range(110)],
'Subjectivity' : [random.random() for t in range(110)]}) for i in range(len(list_type))], axis=0)
options = []
options.append('All')
options.extend(df['Subject'].unique().tolist())
source = ColumnDataSource(df)
p = figure()
r = p.circle(x='Polarity', y='Subjectivity', source = source)
select = Select(title="Subject",  options=options, value="All")
#output_notebook()
stats = PreText(text=str(df.describe()), width=500)
def update_plot(attr, old, new):
if select.value=="All":
df_filter = df.copy()
else:
df_filter = df[df['Subject']==select.value]
source1 = ColumnDataSource(df_filter)
r.data_source.data = source1.data
stats.text = str(df_filter.describe())

select.on_change('value', update_plot)
layout = column(row(select, width=400), p, stats)
#show(layout)
curdoc().add_root(layout)