使用散景蟒创建交互式绘图

Question

我想在一个带有散景的图形中创建交互式绘图。 以下代码适用于data_1，最后我得到了一个 html 文件：

data_1 = ColumnDataSource(data=user_id_weekly01)
data_2 = ColumnDataSource(data=user_id_weekly02)

output_file("test.html")
#generate info box with html
TOOLTIPS = """
<div style="background-color:  #8b85af">
<div>
<span style="font-size: 17px; font-weight: bold; user_ID:">user_ID: @user_ID</span>
</div>
<div>
<span style="font-size: 17px; font-weight: bold; user_ID_count:">requested reports: @user_ID_count</span>
</div>
<div>
<span style="font-size: 17px; font-weight: bold; number_requested_plots:">requested plots: @number_requested_plots</span>
</div>
</div>
"""

p = figure(plot_width=1000, plot_height=500, tooltips=TOOLTIPS,
title="test")
p.vbar(source=data_1,x='user_ID',top='user_ID_count',bottom=0,width=1.0)
p.y_range.start = 0
p.xaxis.axis_label = "user_ID"
p.yaxis.axis_label = "number requested report"
p.outline_line_color = None
p.xaxis.axis_label_text_font_size = "13pt"
p.yaxis.axis_label_text_font_size = "13pt"
p.xaxis.major_label_text_font_size = "13pt"
p.yaxis.major_label_text_font_size = "13pt"
p.title.text_font_size = '13pt'
show(p)

现在，我不仅data_1，还有data_2等等。我想用散景的滑块构建一些东西，以便能够在不同的情节上"滑动"。如果它不适用于滑块，单击按钮也是一个智能解决方案。

data_1 ect. looks like:
user_ID user_ID_count   number_requested_plots
0   13  1   19
1   28  1   8
2   53  3   57
3   64  8   145
4   82  1   11
5   94  1   19
6   100 13  228
7   102 1   19

我期待一些提示，谢谢！

Answer 1

您可以使用CommonJS 并在滑块值更改时写入回调(请参阅散景文档(。例如：

data_1 = ColumnDataSource(data=user_id_weekly01)
data_2 = ColumnDataSource(data=user_id_weekly02)
# add default source variable:
source = ColumnDataSource(data=user_id_weekly01)
# ...
# and use it in your vbar:
p.vbar(source=source,x='user_ID',top='user_ID_count',bottom=0,width=1.0)
# ...
# replace show(plt) with the following code:
from bokeh.models import Slider, CustomJS
from bokeh.layouts import column
datasources = [data_1, data_2]
slider  = Slider(start=0, end=len(datasources) -1, step=1, title="datasources", value=0)
callback = CustomJS(args=dict(source=source, datasources=datasources), code="""
var i = cb_obj.value;
source.data = Object.assign({},datasources[i].data);
source.change.emit();
""")
slider.js_on_change('value', callback)
show(column(p,slider))

这个想法是，在滑块值更改时，您将源数据替换为数据源列表中的源数据。

Answer 2

如果我必须生成交互式绘图，我总是选择散景服务器。 优点：您可以编写原生 python 代码，而无需担心 JS 回调。最小示例：

确保从命令行运行bokeh serve --show test.py

# test.py
import numpy as np, pandas as pd
from bokeh.layouts import column, row
from bokeh.models import Slider,ColumnDataSource,TextInput
from bokeh.plotting import figure, curdoc
# Set up data
df1 = pd.DataFrame(np.random.randint(9,25,size=(2,2)),columns=["A","B"])
df2 = pd.DataFrame(np.arange(4,8).reshape(2,2),columns=["A","B"])
dfs = [df1,df2]
source = ColumnDataSource(df1)
# Set up plot
plot = figure(plot_height=400, plot_width=400, title="my source",x_range=[0,max(max(x["A"]) for x in dfs)+1],
y_range=[0,max(max(x["B"]) for x in dfs)+1])
plot.scatter("A","B", source = source)

# Set up widgets
text = TextInput(title="title", value='my source')
data = Slider(title="Choose Data",value=0, start=0, end=1)
# Set up callbacks
def update_title(attrname, old, new):
plot.title.text = text.value
text.on_change('value', update_title)
def update_data(attrname, old, new):
# Get the current slider values
d = data.value
# Generate new data
if d == 0: source.data = df1
if d == 1: source.data = df2

data.on_change("value",update_data)

# Set up layouts and add to document
inputs = column(data)
curdoc().add_root(row(inputs, plot))
curdoc().title = "my source"