问Bokeh -无法在下拉菜单中更改时更新ColumnDataSource

EN

from bokeh.layouts import row, column
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import Slider, TextInput
from bokeh.plotting import figure
from bokeh.io import output_file, show
from bokeh.models.widgets import Dropdown
import pandas as pd
import numpy as np
from bokeh.io import output_file, show, curdoc
from bokeh.layouts import row, column, widgetbox
from bokeh.models import (
    ColumnDataSource,
    HoverTool,
    LinearColorMapper,
    BasicTicker,
    PrintfTickFormatter,
    ColorBar,
    Legend,
    Whisker,
)
from bokeh.models.widgets import PreText, Select, RadioGroup, TextInput
from bokeh.plotting import figure
from bokeh.transform import dodge, factor_cmap
import bokeh.plotting
from bokeh.models import ColumnDataSource, CustomJS
from bokeh.models.widgets import Button
import io
import base64
import random
import statistics as stat
from bokeh.models.tickers import SingleIntervalTicker
from bokeh.plotting import figure, show




def sectionize(df, rows, cols):
    rowWise = df.stack()
    colWise = df.transpose().stack()
    rowData = []
    colData = []
    for x in rows:
        rowData.append(list(rowWise[x]))
    for x in range(1, (cols + 1)):
        colData.append(list(colWise[x]))
    print("sectionize has occured")
    return rowData, colData

def getLowerUpper(data):
    lower, upper = [], []
    for x in data:
        if x:
            mean = stat.mean(x)
            std = stat.stdev(x)
            lower.append(mean - std)
            upper.append(mean + std)
        else:
            lower.append(0)
            upper.append(0)
    return lower, upper

def sectionizePlot(source, source_error, type, base):
    print("sectionize plot created with typ: " + type)
    colors = []
    for x in range(0, len(base)):
        colors.append(getRandomColor())
    title = type + "-wise Intensity Distribution"
    p = figure(plot_width=600, plot_height=300, title=title)
    p.add_layout(
        Whisker(source=source_error, base="base", upper="upper", lower="lower"))
    for i, sec in enumerate(source.data['base']):
        p.circle(x=source_error.data["base"][i], y=sec, color=colors[i])
    p.xaxis.axis_label = type
    p.yaxis.axis_label = "Intensity"
    if (type.split()[-1] == "Row"):
        print("hit a row")
        conv = dict(enumerate(list("nABCDEFGHIJKLMNOP")))
        conv.pop(0)
        p.xaxis.major_label_overrides = conv
    p.xaxis.ticker = SingleIntervalTicker(interval=1)
    print("sectionizePlot changed")
    return p

def getRandomColor():
    colors = ['aqua', 'aquamarine', 'black', 'blue', 'blueviolet', 'brown', 'burlywood', 'cadetblue', 'chartreuse', 'chocolate',
         'coral', 'cornflowerblue', 'crimson', 'cyan', 'darkblue', 'darkcyan', 'darkgoldenrod', 'darkgray', 'darkgreen',
         'darkgrey', 'darkkhaki', 'darkmagenta', 'darkolivegreen', 'darkorange', 'darkorchid', 'darkred', 'darksalmon',
         'darkseagreen', 'darkslateblue', 'darkslategray', 'darkslategrey', 'darkturquoise', 'darkviolet', 'deeppink',
         'deepskyblue', 'dimgray', 'dimgrey', 'dodgerblue', 'firebrick', 'forestgreen', 'fuchsia', 'gold', 'goldenrod',
         'gray', 'green', 'greenyellow', 'grey', 'hotpink', 'indianred', 'indigo', 'khaki', 'lavender', 'lawngreen', 'lime',
         'limegreen', 'magenta', 'maroon', 'mediumaquamarine', 'mediumblue', 'mediumorchid', 'mediumpurple',
         'mediumseagreen', 'mediumslateblue', 'mediumspringgreen', 'mediumturquoise', 'mediumvioletred', 'midnightblue',
         'navy', 'olive', 'olivedrab', 'orange', 'orangered', 'orchid', 'peachpuff', 'peru', 'pink', 'plum', 'powderblue',
         'purple', 'red', 'rosybrown', 'royalblue', 'saddlebrown', 'salmon', 'sandybrown', 'seagreen', 'sienna', 'silver',
         'skyblue', 'slateblue', 'slategray', 'slategrey', 'springgreen', 'steelblue', 'tan', 'teal', 'thistle', 'tomato',
              'turquoise', 'violet', 'yellow', 'yellowgreen']
    return colors[random.randint(0, 101)]


colBase = list(range(1, 3))
colData = [[1,2,3,4,5,6], [7, 8, 9, 10, 11, 12]]
colData_lower, colData_upper = getLowerUpper(colData)
colSectTotSource = ColumnDataSource(data=dict(base=[]))
colSectTotSource_error = ColumnDataSource(data=dict(base=[], lower=[], upper=[]))
colSectTotSource.data = dict(base=colData)
colSectTotSource_error.data = dict(base=colBase, lower=colData_lower, upper=colData_upper)

menu = [("A", "A"), ("B", "B")]
dropdown = Dropdown(label="Dropdown button", button_type="warning", menu=menu)
colPlot = sectionizePlot(colSectTotSource, colSectTotSource_error, "Column", colBase)

def update_data(attrname, old, new):
    d = dropdown.value
    if(d == "B"):
        colData = [[11,12,13,14,15,16], [17,18,19,20,21,22]]
    else:
        colData = [[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]]

    colData_lower, colData_upper = getLowerUpper(colData)
    #colSectTotSource = ColumnDataSource(data=dict(base=[]))
    colSectTotSource.data = dict(base=colData)
    colSectTotSource_error.data = dict(base=colBase, lower=colData_lower, upper=colData_upper)

for w in [dropdown]:
    w.on_change('value', update_data)

inputs = column(dropdown)
curdoc().add_root(row(inputs, colPlot, width=800))