xxxxxxxxxximport plotly.graph_objects as go,numpy as np,pandas as pdfrom plotly.offline import ploturl='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']continents=[]for continent in dataset['continent']: if continent not in continents: continents.append(continent)fig_dict={"data":[],"layout":{},"frames":[]}fig_dict["layout"]["xaxis"]={"range":[30,85],"title":"Life Expectancy"}fig_dict["layout"]["yaxis"]={"title":"GDP per Capita","type":"log"}fig_dict["layout"]["hovermode"]="closest"fig_dict["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':.9,'x':.1,'y':0,'steps':[]}xxxxxxxxxxyear=1952for 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} fig_dict["data"].append(data_dict)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) fig_dict['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)fig_dict['layout']['sliders']=[sliders_dict]fig=go.Figure(fig_dict) ; plot(fig)fpath='https://sagecell.sagemath.org/kernel/'fpath+=os.getcwd()[14:]+'/files/'s1='<iframe src="'s2='temp-plot.html" width=600 height=400/></iframe>'html(s1+fpath+s2)
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