Python 是否可以将参数（数据）传递给bokeh应用程序？

所以我有各种各样的熊猫数据帧，我想重用bokeh应用程序来查看它们，而不是将数据硬编码到应用程序中。我已经修改了交叉滤波器的例子来说明我的方法的问题

这应该称为

dframe = some Pandas dataframe
invokeh(bk_crossfilter, dframe)

并在下面的代码块中定义

bokeh似乎不喜欢在下面的应用程序定义中使用functools.partial，并在浏览器中给我一个500服务器错误。今天早些时候，bokeh应用程序中的print语句显示了数据帧，但现在它似乎在函数输入过程中被损坏到了bokeh.Document中。控制台输出现在是：

Preparing a bokeh application.
Opening Bokeh application on http://localhost:5006/
CROSSFILTER:  <bokeh.document.document.Document object at 0x0000029BAB2783C8>
ERROR:tornado.application:Uncaught exception GET / (::1)
HTTPServerRequest(protocol='http', host='localhost:5006', method='GET', uri='/', version='HTTP/1.1', remote_ip='::1')
Traceback (most recent call last):
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\site-packages\tornado\web.py", line 1703, in _execute
    result = await result
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\site-packages\bokeh\server\views\doc_handler.py", line 52, in get
    session = await self.get_session()
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\site-packages\bokeh\server\views\session_handler.py", line 120, in get_session
    session = await self.application_context.create_session_if_needed(session_id, self.request, token)
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\site-packages\bokeh\server\contexts.py", line 218, in create_session_if_needed
    self._application.initialize_document(doc)
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\site-packages\bokeh\application\application.py", line 171, in initialize_document
    h.modify_document(doc)
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\site-packages\bokeh\application\handlers\function.py", line 132, in modify_document
    self._func(doc)
  File "c:\users\jdorsey\code\utils\dorsey\visualisation.py", line 36, in bk_crossfilter
    columns = sorted(df.columns)
AttributeError: 'Document' object has no attribute 'columns'
ERROR:tornado.access:500 GET / (::1) 7.98ms
WARNING:tornado.access:404 GET /favicon.ico (::1) 0.99ms
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "c:\users\jdorsey\code\utils\dorsey\visualisation.py", line 27, in invokeh
    io_loop.start()
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\site-packages\tornado\platform\asyncio.py", line 149, in start
    self.asyncio_loop.run_forever()
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\asyncio\base_events.py", line 422, in run_forever
    self._run_once()
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\asyncio\base_events.py", line 1396, in _run_once
    event_list = self._selector.select(timeout)
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\selectors.py", line 323, in select
    r, w, _ = self._select(self._readers, self._writers, [], timeout)
  File "C:\Users\jdorsey\code\conda\environment\REDACTED\lib\selectors.py", line 314, in _select
    r, w, x = select.select(r, w, w, timeout)

以及守则：

from tornado.ioloop import IOLoop
from bokeh.application.handlers import FunctionHandler
from bokeh.application import Application
from bokeh.server.server import Server
from bokeh.layouts import column, row
from bokeh.models import Select
from bokeh.palettes import Spectral5
from bokeh.plotting import curdoc, figure
from functools import partial

def invokeh(visual,dataset):
    """
    Launch a bokeh server and connect to it.
    
    ARGUMENTS:
    visual: A bokeh visualisation
    dataset: A dataset to populate the visualisation
    """
    print("Preparing a bokeh application.")
    io_loop = IOLoop.current()
    bokeh_app = Application(FunctionHandler(partial(visual,dataset)))
    server = Server({"/": bokeh_app})#, io_loop=io_loop)
    server.start()
    print("Opening Bokeh application on http://localhost:5006/")
    
    io_loop.add_callback(server.show, "/")
    io_loop.start()

def bk_crossfilter(doc,df):
    print('CROSSFILTER: ', df)
    SIZES = list(range(6, 22, 3))
    COLORS = Spectral5
    N_SIZES = len(SIZES)
    N_COLORS = len(COLORS)
    
    columns = sorted(df.columns)
    discrete = [x for x in columns if df[x].dtype == object]
    continuous = [x for x in columns if x not in discrete]
    
    def create_figure():
        xs = df[x.value].values
        ys = df[y.value].values
        x_title = x.value.title()
        y_title = y.value.title()
        
        kw = dict()
        
        if x.value in discrete:
            kw['x_range'] = sorted(set(xs))
        if y.value in discrete:
            kw['y_range'] = sorted(set(ys))
        kw['title'] = "%s vs %s" % (x_title, y_title)
        
        p = figure(plot_height=600, plot_width=800, tools='pan,box_zoom,hover,reset', **kw)
        p.xaxis.axis_label = x_title
        p.yaxis.axis_label = y_title
        
        if x.value in discrete:
            p.xaxis.major_label_orientation = pd.np.pi / 4
        sz = 9
        
        if size.value != 'None':
            if len(set(df[size.value])) > N_SIZES:
                groups = pd.qcut(df[size.value].values, N_SIZES, duplicates='drop')
            else:
                groups = pd.Categorical(df[size.value])
            sz = [SIZES[xx] for xx in groups.codes]
        
        c = "#31AADE"
        
        if color.value != 'None':
            if len(set(df[color.value])) > N_COLORS:
                groups = pd.qcut(df[color.value].values, N_COLORS, duplicates='drop')
            else:
                groups = pd.Categorical(df[color.value])
            c = [COLORS[xx] for xx in groups.codes]
        
        p.circle(x=xs, y=ys, color=c, size=sz, line_color="white", alpha=0.6, hover_color='white', hover_alpha=0.5)
        
        return p
    
    def update(attr, old, new):
        layout.children[1] = create_figure()
    
    print("COLUMNS: ", columns[0], columns[1])
    print("DISCRETE: ", discrete, " CONTINUOUS: ", continuous)
    x = Select(title='X-Axis', value=columns[0], options=columns)
    x.on_change('value', update)
    
    y = Select(title='Y-Axis', value=columns[1], options=columns)
    y.on_change('value', update)
    
    size = Select(title='Size', value='None', options=['None'] + continuous)
    size.on_change('value', update)
    
    color = Select(title='Color', value='None', options=['None'] + continuous)
    color.on_change('value', update)
    
    controls = column(x, y, color, size, width=200)
    layout = row(controls, create_figure())
    
    curdoc().add_root(layout)
    curdoc().title = "Crossfilter"

提前感谢您的建议。

通过更改：

bokeh_app = Application(FunctionHandler(partial(visual,dataset)))

致：

现在，我只在控制台中获得以下信息：

Opening Bokeh application on http://localhost:5006/
WARNING:tornado.access:404 GET /favicon.ico (::1) 1.00ms

浏览器中没有错误。但是浏览器会呈现一个空白页面，其中包含以下源代码（还有更多，但没有告诉我太多）：

---

控制台日志实际上没有显示页面源代码中提到的错误消息…

非常确定您需要使用

partial

明确说明要将哪些参数绑定到什么：

partial（可视，df=dataset）

---

事实上，我几乎可以肯定您正在将

dataset

绑定到

doc

参数，因此当Bokeh调用您的应用程序函数时，

文档将以
df
的形式传入（剩下的唯一自由参数）。
服务器进程中的实际错误跟踪是什么？包含这一点似乎很重要。；-）看编辑…太棒了。关于df=dataset，您是对的。现在浏览器或控制台中没有错误，但仍然显示一个空白HTML文档，其中包含（除其他外）console.log（“Bokeh:ERROR:无法运行BokehJS代码，因为缺少BokehJS库”）；
bokeh_app = Application(FunctionHandler(lambda dataset: visual))

Opening Bokeh application on http://localhost:5006/
WARNING:tornado.access:404 GET /favicon.ico (::1) 1.00ms

root.Bokeh.embed.embed_items(docs_json, render_items);
            
              }
              if (root.Bokeh !== undefined) {
                embed_document(root);
              } else {
                var attempts = 0;
                var timer = setInterval(function(root) {
                  if (root.Bokeh !== undefined) {
                    clearInterval(timer);
                    embed_document(root);
                  } else {
                    attempts++;
                    if (attempts > 100) {
                      clearInterval(timer);
                      console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
                    }
                  }
                }, 10, root)
              }