Bokeh中List项的CheckBoxGroup更新问题

Question

很抱歉post。我正在处理一个代表不同位置每周库存值的可视化。我可以通过单击图例从图表中隐藏一些位置，但 y 轴不会自行更新。这就是为什么我尝试实施 CheckBoxGroup 来过滤图表的项目。但是，我可以绘制图表，但每当我取消选择 CheckBoxGroup 中的某些项目时，图表不会自行更新。您可以在下面找到输出图像。任何帮助都会很有用。

P.S：为了重现输出处理，数据代码必须首先是运行，然后是图形代码。

谢谢， E

输出： Output of the code

数据 : link

正在处理数据：


import pandas as pd
import numpy as np

dataset_inventory = pd.read_excel('weekly_inventory_data.xls')
df = dataset_inventory.copy()
df = df.fillna(0)
df = df.replace('-',0)

resource = "çÇğĞıİöÖşŞüÜ"
target = "cCgGiIoOsSuU"
translate = str.maketrans(resource,target)
df['Location']= df['Location'].str.translate(translate)
df.columns = [x.lower() if type(x)==str else x for x in df.columns]
df['location'] = [x.lower() for x in df['location']]

df1 = df.copy()
df2 =df.copy()
for column in df2:
    if type(column) == int: 
        df2[column] = [1 if x>0 else 0 for x in df2[column]]
    else:
        pass  

def table(df,info):
    pivot = df.groupby('location').sum().T
    pivot.columns.names = ['']
    pivot['total'] = pivot.sum(axis=1)
    pivot.reset_index(level=0, inplace=True)
    pivot.insert(loc=0, column='year', value=np.where(pivot['index'].apply(lambda x: x > 16), 2015, 2016))
    pivot.insert(loc=2, column='year_week', value=pivot['year'].astype(str) +'_'+ pivot['index'].astype(str))
    pivot.reset_index(inplace=True)
    pivot.rename(columns={'level_0' :'observation','index':'week'}, inplace=True)
    pivot['year_week'] = pd.Categorical(pivot.year_week, ordered=True)
    pivot['observation'] = [x+1 for x in pivot['observation']]
    pivot.rename(columns={'cayirova' :'cayirova_'+info, 'orhanli' :'orhanli_'+info,
                          'fason' :'fason_'+info, 'samandira' :'samandira_'+info,
                          'gebze' :'gebze_'+info, 'sultanbeyli' :'sultanbeyli_'+info,
                          'yenidogan' :'yenidogan_'+info, 'total' :'total_'+info
                         }, inplace=True)
    return pivot

input1='qty'
input2='wh'
df1 = table(df1,input1)
df2 = table(df2,input2)

pivot = pd.concat([df1, df2.drop(['observation','year','week','year_week'],axis =1)], axis=1, sort=False)
cols_to_order = ['observation', 'year','week','year_week','total_'+input1,'total_'+input2]
new_columns = cols_to_order + (sorted(pivot.columns.drop(cols_to_order).tolist()))
inventory_pivot = pivot[new_columns]
inventory_pivot = inventory_pivot.set_index('observation')
inventory_pivot.insert(loc=0, column='date', value=pd.to_datetime(inventory_pivot.year.astype(str), format='%Y') + \
             pd.to_timedelta(inventory_pivot.week.mul(7).astype(str) + ' days'))

作图：

import pandas as pd
from bokeh.plotting import figure, output_file, show

import pandas as pd
import numpy as np

from bokeh.io import output_file, output_notebook, push_notebook
from bokeh.plotting import figure, show
from bokeh.models import ColumnDataSource
from bokeh.layouts import row, column, gridplot
from bokeh.models.widgets import Tabs, Panel
from bokeh.models import HoverTool
from bokeh.models import ColumnDataSource
from bokeh.models import NumeralTickFormatter
from bokeh.models import DatetimeTickFormatter
from math import pi
from bokeh.models import Legend
from bokeh.layouts import column, row
from bokeh.models import Column
from bokeh.application.handlers import FunctionHandler
from bokeh.application import Application
from bokeh.models.widgets import CheckboxGroup


inventory = ColumnDataSource(inventory_pivot)


def modify(doc):
    def update(attr, old, new):

        items_to_plot = [item_selection.labels[i] for i in 
                                item_selection.active]   


    def graph(items):

        fig = figure(plot_width=850, plot_height=500, x_axis_type="datetime", toolbar_location=None)
        fig.title.text = 'Click on legend entries to hide the corresponding lines'
        colors = ['blue','green','purple','brown','black','orange','red','yellow']

        legend_it = []
        for idx,item in enumerate(items): 
            graph = fig.line(x='date', y =item+'_'+input1, 
                               source=inventory, 
                               line_width=3,
                               color = colors[idx])
            legend_it.append((item, [graph]))

        legend = Legend(items=legend_it, location=(10,130))
        legend.click_policy="hide"
        fig.add_layout(legend, 'right')
        fig.legend.border_line_width = 1
        fig.legend.border_line_color = "navy"
        fig.legend.border_line_alpha = 0.5


        fig.ygrid.visible = False
        fig.xgrid.visible = False
        fig.yaxis.formatter=NumeralTickFormatter(format=",")
        fig.xaxis.major_label_orientation = pi/3
        fig.y_range.start = 0
        fig.xaxis.formatter=DatetimeTickFormatter(   
                    months=["%B %Y"],
                    years=["%B %Y"],   )

        tooltips = [
                        ('YEAR','@year'),
                        ('WEEK','@week'),
                        ('QUANTITY','$y{,}')            
                       ]

        fig.add_tools(HoverTool(tooltips=tooltips))

        return fig

    items_list = ['total','yenidogan','cayirova','sultanbeyli','samandira','orhanli','gebze','fason']

    item_selection = CheckboxGroup(labels=items_list, 
                                active = [0, 1, 2, 3, 4, 5, 6, 7], width =100)
    item_selection.on_change('active', update)  

    controls = Column(item_selection)

    initial_list = [item_selection.labels[i] for i in item_selection.active]        

    fig = graph(initial_list)

    layout = row(controls, fig)

    doc.add_root(layout)


output_notebook()
handler = FunctionHandler(modify)
app = Application(handler)
show(app)

Answer 1

您不需要复选框组。只需在某处添加 fig.y_range.only_visible = True。

Bokeh中List项的CheckBoxGroup更新问题

CheckBoxGroup updating problem of List items in Bokeh

python

bokeh