scripts/interactive_visualization.py at main · epythonlab/scripts · GitHub

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"""

Create an Interactive Data visualization using Plotly

"""

# pip install plotly

import plotly.express as px

data = px.data.gapminder()

fig = px.scatter(

data_frame=data,

x='gdpPercap',

y='lifeExp',

size='pop',

color='continent',

hover_name='country',

log_x=True,

range_x=[300, 100000],

range_y=[20, 90],

title='GDP per Capita VS Life Expetancy',

labels={'gdpPercap':'GDP per Capita',

'lifeExp':'Life Expetancy'},

template='plotly_dark'

)

# update the axis

fig.update_xaxes(title_text='GDP per Capita(log scale)')

fig.update_yaxes(title_text='Life Expetancy')

# show the graph

fig.show()

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