Как обновить график, используя раскрывающийся список - PullRequest
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Как обновить график, используя раскрывающийся список

0 голосов
/ 12 декабря 2018

У меня проблемы с "Боке".Я создаю 3 различных графика и инструмент виджета независимо друг от друга.Мне нужно сделать их интерактивными: получить график p4, нажав 2018/09/14, получить p5, нажав 2018/09/15, и p6, нажав 2018/09 / 16. 

import pandas as pd
import numpy as np 
from bokeh.layouts import widgetbox
from bokeh.models.widgets import Select
from bokeh.io import curdoc 
from bokeh.layouts import column 
from bokeh.models import ColumnDataSource 
from bokeh.plotting import figure 
from bokeh.layouts import row 
from random import random 
from bokeh.plotting import figure, curdoc
from bokeh.io import output_file, show, output_notebook

edges = np.array([ 0.  ,  0.05,  0.1 ,  0.15,  0.2 ,  0.25,  0.3 ,  0.35,  0.4 ,
    0.45,  0.5 ,  0.55,  0.6 ,  0.65,  0.7 ,  0.75,  0.8 ,  0.85,
    0.9 ,  0.95,  1.  ])
arr_hist = np.array([22,  8,  0,  1,  3,  4,  5,  3,  8,  7, 10, 12,  9,  3,  3,  7,  0,
    0,  3,  3])
arr_hist2 = np.array([69,  3,  2,  4,  8,  3,  2,  1,  1,  4,  1,  3,  2,  2,  4,  1,  0,
    1,  0,  0])
arr_hist3 = np.array([71, 10,  4,  2,  4,  2,  2,  0,  4,  1,  2,  0,  1,  0,  6,  2,  0,
    0,  0,  0])
a = {'distr': [arr_hist, arr_hist2, arr_hist3],'left': [edges[:-1], edges[:-1], edges[:-1]], 'right': [edges[1:], edges[1:], edges[1:]]}
a1=pd.DataFrame(data=a)
a2=a1.T
a2.columns=['2018/09/14','2018/09/15','2018/09/16']

####### p4 #########

p4 = figure(plot_height = 600, plot_width = 600, 
       title = 'Histogram 2018/09/14',
       x_axis_label = 'Occupancy (%)',y_axis_label = 'Counts')
p4.quad(bottom=0, top=a2['2018/09/14'][0], 
   left=a2['2018/09/14'][1], right=a2['2018/09/14'][2],
   fill_color='red', line_color='black')


####### p5 #########

p5 = figure(plot_height = 600, plot_width = 600, 
       title = 'Histogram 2018/09/15',
       x_axis_label = 'Occupancy (%)',y_axis_label = 'Counts')
p5.quad(bottom=0, top=a2['2018/09/15'][0], 
   left=a2['2018/09/15'][1], right=a2['2018/09/15'][2],
   fill_color='red', line_color='black')
#output_notebook()

####### p6 #########

p6 = figure(plot_height = 600, plot_width = 600, 
       title = 'Histogram 2018/09/16',
       x_axis_label = 'Occupancy (%)',y_axis_label = 'Counts')
p6.quad(bottom=0, top=a2['2018/09/16'][0], 
   left=a2['2018/09/16'][1], right=a2['2018/09/16'][2],
   fill_color='red', line_color='black')
#output_notebook()
dates = Select(title="Dates:", value="foo", options=[a2[a2.columns[0]].name,a2[a2.columns[1]].name,a2[a2.columns[2]].name])
show(row(widgetbox(dates, width=300), p4, p5, p6))
output_file("Histograms.html")
...