crossfiltering_holoviews_plotly.js

importScripts("https://cdn.jsdelivr.net/pyodide/v0.24.1/full/pyodide.js");

function sendPatch(patch, buffers, msg_id) {
  self.postMessage({
    type: 'patch',
    patch: patch,
    buffers: buffers
  })
}

async function startApplication() {
  console.log("Loading pyodide!");
  self.postMessage({type: 'status', msg: 'Loading pyodide'})
  self.pyodide = await loadPyodide();
  self.pyodide.globals.set("sendPatch", sendPatch);
  console.log("Loaded!");
  await self.pyodide.loadPackage("micropip");
  const env_spec = ['https://cdn.holoviz.org/panel/wheels/bokeh-3.3.2-py3-none-any.whl', 'https://cdn.holoviz.org/panel/1.3.6/dist/wheels/panel-1.3.6-py3-none-any.whl', 'pyodide-http==0.2.1', 'holoviews', 'pandas', 'plotly']
  for (const pkg of env_spec) {
    let pkg_name;
    if (pkg.endsWith('.whl')) {
      pkg_name = pkg.split('/').slice(-1)[0].split('-')[0]
    } else {
      pkg_name = pkg
    }
    self.postMessage({type: 'status', msg: `Installing ${pkg_name}`})
    try {
      await self.pyodide.runPythonAsync(`
        import micropip
        await micropip.install('${pkg}');
      `);
    } catch(e) {
      console.log(e)
      self.postMessage({
	type: 'status',
	msg: `Error while installing ${pkg_name}`
      });
    }
  }
  console.log("Packages loaded!");
  self.postMessage({type: 'status', msg: 'Executing code'})
  const code = `
  
import asyncio

from panel.io.pyodide import init_doc, write_doc

init_doc()

"""*Linked Brushing* is a very powerful technique. It's also often called
*Linked Selections* or *Crossfiltering*.

This example is inspired by the HoloViews [Linked Brushing Reference Guide]\
(http://holoviews.org/user_guide/Linked_Brushing.html) and the Plotly blog post
[Introducing Dash HoloViews]\
(https://medium.com/plotly/introducing-dash-holoviews-6a05c088ebe5).

This example uses the *Iris* dataset.
"""
from typing import Tuple

import holoviews as hv
import panel as pn
from holoviews import opts
from panel.template import FastListTemplate
import plotly.io as pio
import pandas as pd

@pn.cache
def get_iris_data():
    return pd.read_csv("https://cdn.awesome-panel.org/resources/crossfiltering_holoviews/iris.csv.gz")


ACCENT = "#F08080"

CSS = """
.main .card-margin.stretch_both {
    height: calc(100vh - 125px) !important;
}
"""

def _plotly_hooks(plot, element):
    """Used by HoloViews to give plots plotly plots special treatment"""
    fig = plot.state
    
    fig["layout"]["dragmode"] = "select"
    fig["config"]["displayModeBar"] = True
    if isinstance(element, hv.Histogram):
        # Constrain histogram selection direction to horizontal
        fig["layout"]["selectdirection"] = "h"


def get_linked_plots() -> Tuple:
    """Returns a tuple (scatter, hist) of linked plots
    
    See http://holoviews.org/user_guide/Linked_Brushing.html
    """

    dataset = hv.Dataset(get_iris_data())

    scatter = hv.Scatter(dataset, kdims=["sepal_length"], vdims=["sepal_width"])
    hist = hv.operation.histogram(dataset, dimension="petal_width", normed=False)

    # pylint: disable=no-value-for-parameter
    selection_linker = hv.selection.link_selections.instance()
    # pylint: disable=no-member
    scatter = selection_linker(scatter).opts(
        opts.Scatter(color=ACCENT, size=10, hooks=[_plotly_hooks], width=700, height=400),
    )
    hist = selection_linker(hist).opts(
        opts.Histogram(color=ACCENT, hooks=[_plotly_hooks], width=700, height=400)
    )

    return scatter, hist


def create_app():
    """Returns the app in a nice FastListTemplate"""
    if pn.config.theme == "dark":
        pio.templates.default = "plotly_dark"
    else:
        pio.templates.default = "plotly_white"
    scatter, hist = get_linked_plots()
    scatter_panel = pn.pane.HoloViews(scatter, sizing_mode="stretch_both", backend="plotly")
    hist_panel = pn.pane.HoloViews(hist, sizing_mode="stretch_both", backend="plotly")

    def reset(event):
        scatter, hist = get_linked_plots()
        scatter_panel.object=scatter
        hist_panel.object=hist

    reset_button = pn.widgets.Button(name="RESET PLOTS", on_click=reset, description="Resets the plots. Plotly does not have a built in way to do this.")
    
    template = FastListTemplate(
        site="Awesome Panel",
        site_url="https://awesome-panel.org",
        title="Crossfiltering with HoloViews and Plotly",
        accent=ACCENT,
        main=[
            # We need to wrap in Columns to get them to stretch properly
            pn.Column(reset_button, scatter_panel, pn.layout.Spacer(height=20), hist_panel, height=870, sizing_mode="stretch_width"),
        ],
        main_max_width="850px",
    )
    return template

pn.extension("plotly", raw_css=[CSS])
hv.extension("plotly")
create_app().servable()


await write_doc()
  `

  try {
    const [docs_json, render_items, root_ids] = await self.pyodide.runPythonAsync(code)
    self.postMessage({
      type: 'render',
      docs_json: docs_json,
      render_items: render_items,
      root_ids: root_ids
    })
  } catch(e) {
    const traceback = `${e}`
    const tblines = traceback.split('\n')
    self.postMessage({
      type: 'status',
      msg: tblines[tblines.length-2]
    });
    throw e
  }
}

self.onmessage = async (event) => {
  const msg = event.data
  if (msg.type === 'rendered') {
    self.pyodide.runPythonAsync(`
    from panel.io.state import state
    from panel.io.pyodide import _link_docs_worker

    _link_docs_worker(state.curdoc, sendPatch, setter='js')
    `)
  } else if (msg.type === 'patch') {
    self.pyodide.globals.set('patch', msg.patch)
    self.pyodide.runPythonAsync(`
    state.curdoc.apply_json_patch(patch.to_py(), setter='js')
    `)
    self.postMessage({type: 'idle'})
  } else if (msg.type === 'location') {
    self.pyodide.globals.set('location', msg.location)
    self.pyodide.runPythonAsync(`
    import json
    from panel.io.state import state
    from panel.util import edit_readonly
    if state.location:
        loc_data = json.loads(location)
        with edit_readonly(state.location):
            state.location.param.update({
                k: v for k, v in loc_data.items() if k in state.location.param
            })
    `)
  }
}

startApplication()