我编写了一个程序,根据下拉列表中的输入创建图表。我正在使用bokeh中的curdoc()。add_root()来显示我在服务器上的图形,因为show()不起作用。但是,每当我选择一个新选项时,它不会替换当前图形,而是在其下面创建一个。我试过curdoc()。clear()它不起作用。如何在替换图形但不删除下拉列表的情况下使其工作,因为这是curdoc()。clear()正在做什么?这是我的代码:
import csv
import bokeh.plotting
from bokeh.plotting import figure, curdoc
from bokeh.io import output_file, show
from bokeh.layouts import widgetbox
from bokeh.models.widgets import MultiSelect
from bokeh.io import output_file, show, vform
from bokeh.layouts import row
from collections import defaultdict
columns = defaultdict(list) # each value in each column is appended to a list
columns1 = defaultdict(list)
with open('my_data.csv') as f:
for row in f:
row = row.strip()# read a row as {column1: value1, column2: value2,...}
row = row.split(',')
columns[row[0]].append(row[1])
columns[row[0]].append(row[2])
columns[row[0]].append(row[3])
columns[row[0]].append(row[4])
columns[row[0]].append(row[5])
with open('my_data1.csv') as f:
for row in f:
row = row.strip()# read a row as {column1: value1, column2: value2,...}
row = row.split(',')
columns1[row[0]].append(row[1])
columns1[row[0]].append(row[2])
columns1[row[0]].append(row[3])
columns1[row[0]].append(row[4])
columns1[row[0]].append(row[5])
from bokeh.layouts import widgetbox
from bokeh.models.widgets import Dropdown
from bokeh.plotting import curdoc
menu = [("NY", "New York"), ("California", "California"), ("Ohio", "Ohio")]
dropdown = Dropdown(label="Dropdown button", button_type="warning", menu=menu)
count = 0
#def function_to_call(attr, old, new):
#print dropdown.value
def myfunc(attr, old, new):
aaa = dropdown.value
xy = (columns[aaa])
xy = [float(i) for i in xy]
myInt = 10000
xy = [x / myInt for x in xy]
print xy
omega = (columns1[aaa])
omega = [float(i) for i in omega]
print omega
import numpy
corr123 = numpy.corrcoef(omega,xy)
print corr123
a = [2004, 2005, 2006, 2007, 2008]
p = figure(tools="pan,box_zoom,reset,save", title="Diabetes and Stats",
x_axis_label='Years', y_axis_label='percents')
# add some renderers
per = "Diabetes% " + aaa
p.line(a, omega, legend=per)
p.circle(a, omega, legend=per, fill_color="white",line_color="green", size=8)
p.line(a, xy, legend="Per Capita Income/10000")
p.circle(a, xy, legend="Per Capita Income/10000", fill_color="red", line_color="red", size=8)
p.legend.location="top_left"
#bokeh.plotting.reset_output
#curdoc().clear()
curdoc().add_root(p)
curdoc().add_root(dropdown)
#bokeh.plotting.reset_output
dropdown.on_change('value', myfunc)
curdoc().add_root(dropdown)