Ipywidgets (Vbox) 没有出现在 Jupyter notebook 上

Ipywidgets (Vbox) not showing up on Jupyter notebook

我运行遇到这个错误

A Jupyter widget could not be displayed because the widget state could not be found. This could happen if the kernel storing the widget is no longer available, or if the widget state was not saved in the notebook. You may be able to create the widget by running the appropriate cells.

当我运行:

import plotly.graph_objs as go
import plotly.offline as py

import pandas as pd
import numpy as np
from ipywidgets import interactive, HBox, VBox

py.init_notebook_mode()

df = pd.read_csv('https://raw.githubusercontent.com/jonmmease/plotly_ipywidget_notebooks/master/notebooks/data/cars/cars.csv')

f = go.FigureWidget([go.Scatter(y = df['City mpg'], x = df['City mpg'], mode = 'markers')])
scatter = f.data[0]
N = len(df)
scatter.x = scatter.x + np.random.rand(N)/10 *(df['City mpg'].max() - df['City mpg'].min())
scatter.y = scatter.y + np.random.rand(N)/10 *(df['City mpg'].max() - df['City mpg'].min())
scatter.marker.opacity = 0.5

def update_axes(xaxis, yaxis):
    scatter = f.data[0]
    scatter.x = df[xaxis]
    scatter.y = df[yaxis]
    with f.batch_update():
        f.layout.xaxis.title = xaxis
        f.layout.yaxis.title = yaxis
        scatter.x = scatter.x + np.random.rand(N)/10 *(df[xaxis].max() - df[xaxis].min())
        scatter.y = scatter.y + np.random.rand(N)/10 *(df[yaxis].max() - df[yaxis].min())

axis_dropdowns = interactive(update_axes, yaxis = df.select_dtypes('int64').columns, xaxis = df.select_dtypes('int64').columns)

# Create a table FigureWidget that updates on selection from points in the scatter plot of f
t = go.FigureWidget([go.Table(
    header=dict(values=['ID','Classification','Driveline','Hybrid'],
                fill = dict(color='#C2D4FF'),
                align = ['left'] * 5),
    cells=dict(values=[df[col] for col in ['ID','Classification','Driveline','Hybrid']],
               fill = dict(color='#F5F8FF'),
               align = ['left'] * 5))])

def selection_fn(trace,points,selector):
    t.data[0].cells.values = [df.loc[points.point_inds][col] for col in ['ID','Classification','Driveline','Hybrid']]

scatter.on_selection(selection_fn)

# Put everything together
VBox((HBox(axis_dropdowns.children),f,t))

ft 仅在 运行 f.show()t.show()

时显示

然而当我运行:

import ipywidgets as widgets
from IPython.display import display

button = widgets.Button(description='Hello')
display(button)

小部件显示正常。我已经在线阅读并尝试了解决方案:

jupyter nbextension enable --py widgetsnbextension

jupyter labextension install @jupyter-widgets/jupyterlab-manager

当我检查时:

jupyter nbextension list

一切似乎都很好:

Known nbextensions:
  config dir: /home/hajar/.jupyter/nbconfig
    notebook section
      jupyter-js-widgets/extension  enabled 
      - Validating: OK
  config dir: /usr/local/etc/jupyter/nbconfig
    notebook section
      jupyter-js-widgets/extension  enabled 
      - Validating: OK
    tree section
      ipyparallel/main  enabled 
      - Validating: problems found:
        - require?  X ipyparallel/main
  config dir: /etc/jupyter/nbconfig
    notebook section
      jupyter-js-widgets/extension  enabled 
      - Validating: OK

所以我有点困惑为什么它不显示 Vbox 的结果。 我正在使用 Jupyter 笔记本。

版本列表:

jupyter core     : 4.6.3
jupyter-notebook : 6.0.3
qtconsole        : 5.0.1
ipython          : 7.13.0
ipykernel        : 5.2.0
jupyter client   : 6.1.2
jupyter lab      : 3.0.9
nbconvert        : 5.6.1
ipywidgets       : 7.0.0
nbformat         : 5.0.4
traitlets        : 4.3.3

已解决- plotlywidgets 用于渲染 FigureWidget 的安装不正确。

我用过jupyter nbextension install --py plotlywidget --user 然后 jupyter nbextension enable plotlywidget --user --py