如何通过回调函数将一个Bokeh小部件的输出用作另一个小部件的输入? [英] How to use the output of one Bokeh widget as an input in another widget through a callback function?

问题描述

对于某些公司，我有一个带有某些随机特征(因素)的数据框.我想在第一个小部件中选择一个因素，然后在第二个小部件中选择最小值和最大值进行相应更新.我使用下面的代码尝试了此操作，但是由于我不是JS方面的专家，所以我真的不知道如何处理.非常欢迎您的帮助或提示.

I have a dataframe with some random characteristics (factors) for some companies. I would like to select one factor in the first widget and then the min and the max value of the second widget to be updated accordingly. I tried this with the below code, but as I am not an expert in JS, I really do not know how to process. Your help or tips is more than welcome.

非常感谢您

马修(Matthieu)

Matthieu

import math
import numpy as np
import pandas as pd
import random
import matplotlib.pyplot as plt
from bokeh.plotting import figure, output_file, show
from bokeh.models import ColumnDataSource, HoverTool,CustomJS
from bokeh.sampledata.autompg import autompg_clean as df
from bokeh.models.widgets import Slider, Select, TextInput,RangeSlider,DataTable,TableColumn
from bokeh.layouts import layout, column


CompanyList = ['00', '01', '02','03'] 

a = pd.DataFrame({
    'Factor1' : [random.randint(0, 10) for t in range(4)], 
    'Factor2' : [random.randint(0,100) for t in range(4)],
    'Factor3' : [random.randint(0,1000) for t in range(4)],
    'CompanyNo' : CompanyList})

a =a.set_index('CompanyNo')

C1 = Select(title="Constraint No1", options=sorted(list(a.columns)), value='Factor1')
R1 = RangeSlider(title="Range Constraint 2",value=(a[C1.value].min(),a[C1.value].max()),start=a[C1.value].min(),end=a[C1.value].max(),step=0.1,width=300)

这部分我需要帮助:

C1.callback = CustomJS(args=dict(R1=R1,C1=C1,a=a), code="""
    R1.start = a[C1.value].min()                   
    R1.end = a[C1.value].max();
    """)

show(column(C1,R1))

推荐答案

由于 DataFrame 不可序列化，因此必须以列表格式分别传递其列.我在Bokeh v1.1.0中测试了代码.

Because a DataFrame is not serializable you have to pass its columns separately in the list format. I tested the code in Bokeh v1.1.0.

import math
import numpy as np
import pandas as pd
import random
import matplotlib.pyplot as plt
from bokeh.plotting import figure, output_file, show
from bokeh.models import ColumnDataSource, HoverTool, CustomJS
from bokeh.sampledata.autompg import autompg_clean as df
from bokeh.models.widgets import Slider, Select, TextInput, RangeSlider, DataTable, TableColumn
from bokeh.layouts import layout, column

CompanyList = ['00', '01', '02', '03']

a = pd.DataFrame({
    'Factor1' : [random.randint(0, 10) for t in range(4)],
    'Factor2' : [random.randint(0, 100) for t in range(4)],
    'Factor3' : [random.randint(0, 1000) for t in range(4)],
    'CompanyNo' : CompanyList})

a = a.set_index('CompanyNo')

C1 = Select(title = "Constraint 1", options = sorted(list(a.columns)), value = 'Factor1')
R1 = RangeSlider(title = "Range Constraint 2", value = (a[C1.value].min(), a[C1.value].max()), start = a[C1.value].min(), end = a[C1.value].max(), step = 0.1, width = 300)

C1.callback = CustomJS(args = dict(R1 = R1, C1 = C1, Factor1 = a['Factor1'].values, Factor2 = a['Factor2'].values, Factor3 = a['Factor3'].values), code = """
    array = eval(C1.value)
    R1.start = Math.min(...array);                  
    R1.end = Math.max(...array);
    R1.value = [Math.min(...array), Math.max(...array)];    
    """)

show(column(C1, R1))

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