我使用散景创建了一个选择直方图，其中包含中心散点图和直方图作为轴。我还有一个图例，显示散点数据组的名称，单击这些图例时，将隐藏与图例名称关联的数据点。但是，我想知道是否可以在散点图数据更新(即显示或隐藏(时更新直方图数据。
请记住，我是python和bokeh的新手，并且通常编写简洁的脚本，因此某些代码可能是蓬松的，但任何帮助将不胜感激。谢谢！
import numpy as np
import pandas as pd
from bokeh.layouts import row, column
from bokeh.models import BoxSelectTool, LassoSelectTool, Spacer
from bokeh.plotting import figure, show, curdoc
from bokeh.io import output_notebook
from bokeh.models import CategoricalColorMapper
from bokeh.plotting import ColumnDataSource
from bokeh.io import export_png
from bokeh.palettes import Spectral4
data1 = pd.DataFrame({'m/z': np.random.random(100), 'RT': np.random.random(100)})
data2 = pd.DataFrame({'m/z': np.random.random(100), 'RT': np.random.random(100)})
#create array data from each data set for scatter plot
array_data1 = np.array(data1)
array_data2 = np.array(data2)
#create histogram data
##combine 'm/z' values from each data set into new object
x1 = data1[['m/z']]
x2 = data2[['m/z']]
x = pd.concat([x1,x2])
##combine 'RT' values from each data set into new object
y1 = data1[['RT']]
y2 = data2[['RT']]
y = pd.concat([y1,y2])
#create scatterplot figure
p = figure(x_axis_label='m/z',y_axis_label='RT',tools="",
plot_width=600, plot_height=600, min_border=10, min_border_left=50,
toolbar_location="above", title="Mass Recovery Comparison")
p.background_fill_color = "#fafafa"
p.select(BoxSelectTool).select_every_mousemove = False
p.select(LassoSelectTool).select_every_mousemove = False
#create loop for scatter plot
for data, name, color in zip([array_data1,array_data2], ['035','044'],
Spectral4):
df = pd.DataFrame(data)
df.columns = ['m/z','RT']
p.scatter(df['m/z'], df['RT'], line_width=2, color=color,
alpha=0.8, legend=name)
#legend formatting
p.legend.location = "top_right"
p.legend.click_policy="hide"
#create horizontal histogram
hhist,hedges = np.histogram(x,bins=20)
hzeros = np.zeros(len(hedges)-1)
hmax = max(hhist)*1.1
ph = figure(toolbar_location=None, plot_width=p.plot_width,
plot_height=200, x_range=p.x_range, y_range=(0, hmax), min_border=10,
min_border_left=50, y_axis_location="right")
ph.xgrid.grid_line_color = None
ph.yaxis.major_label_orientation = np.pi/4
ph.background_fill_color = "#fafafa"
ph.quad(bottom=0, left=hedges[:-1], right=hedges[1:], top=hhist,
color="white", line_color="#3A5785")
#create vertical histogram
vhist, vedges = np.histogram(y, bins=20)
vzeros = np.zeros(len(vedges)-1)
vmax = max(vhist)*1.1
pv = figure(toolbar_location=None, plot_width=200,
plot_height=p.plot_height, x_range=(0, vmax),y_range=p.y_range,
min_border=10, y_axis_location="right")
pv.ygrid.grid_line_color = None
pv.xaxis.major_label_orientation = np.pi/4
pv.background_fill_color = "#fafafa"
pv.quad(left=0, bottom=vedges[:-1], top=vedges[1:], right=vhist,
color="white", line_color="#3A5785")
layout = column(row(p, pv), row(ph, Spacer(width=200, height=200)))
show(layout)
我能解释的最好的是，您希望能够在交互式图例中隐藏或静音(或未隐藏或取消静音(的特定字形时执行某些操作。 以下代码说明了如何执行此操作 在一般意义上，您希望将print替换为实际代码，该代码执行您实际想要的任何更新：
from functools import partial
import pandas as pd
from bokeh.io import curdoc
from bokeh.palettes import Spectral4
from bokeh.plotting import figure
from bokeh.sampledata.stocks import AAPL, IBM, MSFT, GOOG
p = figure(plot_width=800, plot_height=250, x_axis_type='datetime')
p.title.text = 'Click on legend entries to hide lines'
def update(name, attr, old, new):
# click the legend and see the information print in the console
print(name, new)
for data, name, color in zip([AAPL, IBM, MSFT, GOOG], ["AAPL", "IBM", "MSFT", "GOOG"], Spectral4):
df = pd.DataFrame(data)
df['date'] = pd.to_datetime(df['date'])
r = p.line(df['date'], df['close'], line_width=2, color=color, alpha=0.8, legend=name)
r.on_change('visible', partial(update, name))
p.legend.location = 'top_left'
p.legend.click_policy = 'hide'
curdoc().add_root(p)