The result in static image is:
And it works!!
To display the result properly, following three lines are added to just before "</head>" tag:
<script src='https://cdn.plot.ly/plotly-1.2.0.min.js'/>
<script src='https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js'/>
<script src='https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js'/>
And the code is based on the following web sites:
Using a Slider and Buttons - Intro to Animations in Python -
URL: https://plot.ly/python/animations/
In [1]:
from plotly.offline import init_notebook_mode, iplot
from IPython.display import display, HTML
import pandas as pd
In [2]:
init_notebook_mode(connected=True)
In [2]:
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': []
}
# 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': [
'transition', {
'duration': 400,
'easing': '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)