选择直方图轴数据更新

Question

我使用散景创建了一个选择直方图，其中包含一个中心散点图和直方图作为轴。我还有一个图例，它显示散点数据组的名称，单击该图例时，将隐藏与图例名称相关的数据点。但是，我想知道是否可以在更新散点图数据时更新直方图数据（即显示或隐藏）。

请记住，我是 python 和 bokeh 的新手，并且通常会编写简洁的脚本，因此有些代码可能是绒毛的，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)

Answer 1

我能解释的最好的事情是，当特定字形从交互式图例中隐藏或静音（或未隐藏或未静音）时，您希望能够做某事。以下代码说明了如何在一般意义上执行此操作，您希望将 print 替换为执行您实际想要的任何更新的真实代码：

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)