pip install dash pandas

from dash import Dash, dcc, html, Input, Output import plotly.express as px

import pandas as pd

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

app = Dash(name)

app.layout = html.Div([ dcc.Graph(id='graph-with-slider'), dcc.Slider( df['year'].min(), df['year'].max(), step=None, value=df['year'].min(), marks={str(year): str(year) for year in df['year'].unique()}, id='year-slider' ) ])

@app.callback( Output('graph-with-slider', 'figure'), Input('year-slider', 'value')) def update_figure(selected_year): filtered_df = df[df.year == selected_year]

fig = px.scatter(filtered_df, x="gdpPercap", y="lifeExp",
                 size="pop", color="continent", hover_name="country",
                 log_x=True, size_max=55)

return fig

if name == 'main': app.run_server(debug=True)