Recreating Gapminders dataset graph

📊 Plotly Python
1

I’ve been trying to recreate plotly’s example from Gapminders dataset link (you may have to scroll down, sorry for that) and I am able to recreate it to some extent heres the code i.e. animation = working, buttons = working if and only if I remove the sliders part.

Non working part:(sliders added, Please note the working one does not have sliders)

import pandas as pd
import numpy as np
import plotly.offline as py
from plotly import graph_objs as go
py.init_notebook_mode(connect = False)


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)

year = 1952

data = []
for continent in continents:
    dataset_by_year = dataset[dataset['year'] == year]
    dataset_by_year_and_cont = dataset_by_year[dataset_by_year['continent'] == continent]    
    trace = go.Scatter(
            x = list(dataset_by_year_and_cont['lifeExp']),
            y = list(dataset_by_year_and_cont['gdpPercap']),
            text = list(dataset_by_year_and_cont['country']),
            mode = 'markers',
            marker = dict(
                    sizemode = 'area',
                    sizeref = 200000,
                    size = list(dataset_by_year_and_cont['pop'])
            ),
            name = continent
    )
    data.append(trace)


layout = go.Layout(
        title = 'Countries',
        xaxis = dict(
                range = [30,85],
                title = 'Life Expectancy',
        ),
        yaxis = dict(
                title = 'GDP per Capita',
                type = 'log'
        ),
        hovermode = 'closest',
        sliders = [dict(
                visible = True,
                active = 0,
                yanchor = 'top',
                xanchor = 'left',
                currentvalue = dict(
                        font = {'size':20},
                        prefix = 'Year:',
                        visible = True,
                        xanchor = 'right'
                    ),
                transition = dict(
                        duration = 300,
                        easing = 'cubic-in-out'),
                pad = {'b':10, 't': 50},
                len = .9,
                x = 0.1,
                y = 0,
                #updating parameter
                steps = []
        )],
        updatemenus = [
        dict(
        buttons = [
            dict(
                args = [None, {'frame': {'duration': 500, 'redraw': False},
                         'fromcurrent': True, 'transition': {'duration': 300, 'easing': 'quadratic-in-out'}}],
                label = 'Play',
                method = 'animate'
            ),
            dict(
                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'
         )
    ]
)

#making animation
frames_update = []

for year in years:
    frames = {'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]

        trace = go.Scatter(
                x = list(dataset_by_year_and_cont['lifeExp']),
                y = list(dataset_by_year_and_cont['gdpPercap']),
                text = list(dataset_by_year_and_cont['country']),
                mode = 'markers',
                marker = dict(
                        sizemode = 'area',
                        sizeref = 200000,
                        size = list(dataset_by_year_and_cont['pop'])
                ),
                name = continent
)
        frames['data'].append(trace)
    frames_update.append(frames)

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


fig = go.Figure(data = data, frames = frames_update, layout = layout)
py.iplot(fig)

Please help! Thanks in advance.

##Edit 1: not able to access inner most functions e.g. layout['updatemenus']['buttons'] and layout['sliders']['steps'] any help on how to access could solve the problem.

##Edit 2: It works now, the major change that needed to be made was to add it as a list on sliders.