Jupyter Notebook上的Plotly动画问题

Question

可以帮忙吗？当我运行下面的代码以制作动画气泡图（来自Plotly网站）时，我尝试在Jupyter笔记本中运行此代码，但它不起作用。

Stack Overflow上有相似的页面，但是它们得到的错误消息不同。可能是因为我使用的是Plotly 3.4.0版吗？

代码是：

from plotly.offline import init_notebook_mode, iplot
from IPython.display import display, HTML

import pandas as pd

init_notebook_mode(connected=True)

url = 'https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv'
dataset = pd.read_csv(url)

years = ['1952', '1962', '1967', '1972', '1977', '1982', '1987', '1992', '1997', '2002', '2007']
# make list of continents
continents = []
for continent in dataset['continent']:
    if continent not in continents:
        continents.append(continent)
# make figure
figure = {
    'data': [],
    'layout': {},
    'frames': []
}
config = {'scrollzoom': True}

# fill in most of layout
figure['layout']['xaxis'] = {'range': [30, 85], 'title': 'Life Expectancy'}
figure['layout']['yaxis'] = {'title': 'GDP per Capita', 'type': 'log'}
figure['layout']['hovermode'] = 'closest'
figure['layout']['sliders'] = {
    'args': [
        'slider.value', {
            'duration': 400,
            'ease': 'cubic-in-out'
        }
    ],
    'initialValue': '1952',
    'plotlycommand': 'animate',
    'values': years,
    'visible': True
}
figure['layout']['updatemenus'] = [
    {
        'buttons': [
            {
                'args': [None, {'frame': {'duration': 500, 'redraw': False},
                         'fromcurrent': True, 'transition': {'duration': 300, 'easing': 'quadratic-in-out'}}],
                'label': 'Play',
                'method': 'animate'
            },
            {
                'args': [[None], {'frame': {'duration': 0, 'redraw': False}, 'mode': 'immediate',
                'transition': {'duration': 0}}],
                'label': 'Pause',
                'method': 'animate'
            }
        ],
        'direction': 'left',
        'pad': {'r': 10, 't': 87},
        'showactive': False,
        'type': 'buttons',
        'x': 0.1,
        'xanchor': 'right',
        'y': 0,
        'yanchor': 'top'
    }
]

sliders_dict = {
    'active': 0,
    'yanchor': 'top',
    'xanchor': 'left',
    'currentvalue': {
        'font': {'size': 20},
        'prefix': 'Year:',
        'visible': True,
        'xanchor': 'right'
    },
    'transition': {'duration': 300, 'easing': 'cubic-in-out'},
    'pad': {'b': 10, 't': 50},
    'len': 0.9,
    'x': 0.1,
    'y': 0,
    'steps': []
}

# make data 
year = 1952
for continent in continents:
    dataset_by_year = dataset[dataset['year'] == year]
    dataset_by_year_and_cont=dataset_by_year[dataset_by_year['continent'] == continent]

    data_dict = {
        'x': list(dataset_by_year_and_cont['lifeExp']),
        'y': list(dataset_by_year_and_cont['gdpPercap']),
        'mode': 'markers',
        'text': list(dataset_by_year_and_cont['country']),
        'marker': {
            'sizemode': 'area',
            'sizeref': 200000,
            'size': list(dataset_by_year_and_cont['pop'])
        },
        'name': continent
    }
    figure['data'].append(data_dict)

# make frames
for year in years:
    frame = {'data': [], 'name': str(year)}
    for continent in continents:
        dataset_by_year = dataset[dataset['year'] == int(year)]

        dataset_by_year_and_cont=dataset_by_year[dataset_by_year['continent'] == continent]

        data_dict = {
            'x': list(dataset_by_year_and_cont['lifeExp']),
            'y': list(dataset_by_year_and_cont['gdpPercap']),
            'mode': 'markers',
            'text': list(dataset_by_year_and_cont['country']),
            'marker': {
                'sizemode': 'area',
                'sizeref': 200000,
                'size': list(dataset_by_year_and_cont['pop'])
            },
            'name': continent
        }
        frame['data'].append(data_dict)

    figure['frames'].append(frame)
    slider_step = {'args': [
        [year],
        {'frame': {'duration': 300, 'redraw': False},
         'mode': 'immediate',
       'transition': {'duration': 300}}
     ],
     'label': year,
     'method': 'animate'}
    sliders_dict['steps'].append(slider_step)


figure['layout']['sliders'] = [sliders_dict]

iplot(figure, config=config)

我收到此错误消息：

ValueError: 
    Invalid value of type 'builtins.list' received for the 'args' property of layout.slider.step
        Received value: [['1952'], {'mode': 'immediate', 'frame': {'duration': 300, 'redraw': False}, 'transition': {'duration': 300}}]

    The 'args' property is an info array that may be specified as:

    * a list or tuple of up to 3 elements where:
(0) The 'args[0]' property accepts values of any type
(1) The 'args[1]' property accepts values of any type
(2) The 'args[2]' property accepts values of any type