dash-tutorial/dash-tutorial-3.py at master · davinderpank/dash-tutorial · GitHub

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import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objs as go

app = dash.Dash()

df = pd.read_csv(
    'https://gist.githubusercontent.com/chriddyp/5d1ea79569ed194d432e56108a04d188/raw/a9f9e8076b837d541398e999dcbac2b2826a81f8/gdp-life-exp-2007.csv')

data = []
for i in df.continent.unique():
    trace = go.Scatter(
        x=df[df['continent'] == i]['gdp per capita'],
        y=df[df['continent'] == i]['life expectancy'],
        text=df[df['continent'] == i]['country'],
        mode='markers',
        opacity=0.7,
        marker={'size': 15,
                'line': {'width': 0.5, 'color': 'black'}},
        name=i)
    data.append(trace)

layout = go.Layout(
    xaxis={'type': 'log', 'title': 'GDP Per Capita'},
    yaxis={'title': 'Life Expectancy'},
    margin={'l': 40, 'b': 40, 't': 10, 'r': 10},
    legend={'x': 0, 'y': 1},
    hovermode='closest')


app.layout = html.Div([
    dcc.Graph(
        id='life-exp-vs-gdp',
        figure={'data': data, 'layout': layout}
    )
])

if __name__ == '__main__':
    app.run_server()