Plotly

python
Run Inline
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
import numpy as np
df = px.data.gapminder()
# Scatter plot with animation
fig = px.scatter(df, x='gdpPercap', y='lifeExp',
                 size='pop', color='continent',
                 log_x=True, size_max=60,
                 animation_frame='year',
                 title='Gapminder Data over Time')
fig.show()
# Line chart
fig = go.Figure()
for continent in df['continent'].unique():
    subset = df[df['continent'] == continent]
    fig.add_trace(go.Scatter(
        x=subset['year'], y=subset['lifeExp'],
        mode='lines', name=continent
    ))
fig.update_layout(title='Life Expectancy by Continent')
fig.show()