plotly

uv pip install plotly

import plotly.express as px
import pandas as pd
 
df = pd.DataFrame({
    'x': [1, 2, 3, 4],
    'y': [10, 11, 12, 13]
})
 
fig = px.scatter(df, x='x', y='y', title='My First Plot')
fig.show()

fig = px.scatter(df, x='x', y='y')
fig.update_layout(title='Custom Title')  # Use go methods on px figure
fig.add_hline(y=10)                     # Add shapes

from plotly.subplots import make_subplots
import plotly.graph_objects as go
 
fig = make_subplots(rows=2, cols=2, subplot_titles=('A', 'B', 'C', 'D'))
fig.add_trace(go.Scatter(x=[1, 2], y=[3, 4]), row=1, col=1)

fig = px.scatter(df, x='x', y='y', template='plotly_dark')
# Built-in: plotly_white, plotly_dark, ggplot2, seaborn, simple_white

# Custom hover template
fig.update_traces(
    hovertemplate='<b>%{x}</b><br>Value: %{y:.2f}<extra></extra>'
)
 
# Add rangeslider
fig.update_xaxes(rangeslider_visible=True)
 
# Animations
fig = px.scatter(df, x='x', y='y', animation_frame='year')

fig.write_html('chart.html')                       # Full standalone
fig.write_html('chart.html', include_plotlyjs='cdn')  # Smaller file

uv pip install kaleido

fig.write_image('chart.png')   # PNG
fig.write_image('chart.pdf')   # PDF
fig.write_image('chart.svg')   # SVG

import plotly.express as px
 
# Scatter plot with trendline
fig = px.scatter(df, x='temperature', y='yield', trendline='ols')
 
# Heatmap from matrix
fig = px.imshow(correlation_matrix, text_auto=True, color_continuous_scale='RdBu')
 
# 3D surface plot
import plotly.graph_objects as go
fig = go.Figure(data=[go.Surface(z=z_data, x=x_data, y=y_data)])

# Distribution comparison
fig = px.histogram(df, x='values', color='group', marginal='box', nbins=30)
 
# Box plot with all points
fig = px.box(df, x='category', y='value', points='all')
 
# Violin plot
fig = px.violin(df, x='group', y='measurement', box=True)

# Time series with rangeslider
fig = px.line(df, x='date', y='price')
fig.update_xaxes(rangeslider_visible=True)
 
# Candlestick chart
import plotly.graph_objects as go
fig = go.Figure(data=[go.Candlestick(
    x=df['date'],
    open=df['open'],
    high=df['high'],
    low=df['low'],
    close=df['close']
)])

from plotly.subplots import make_subplots
import plotly.graph_objects as go
 
fig = make_subplots(
    rows=2, cols=2,
    subplot_titles=('Scatter', 'Bar', 'Histogram', 'Box'),
    specs=[[{'type': 'scatter'}, {'type': 'bar'}],
           [{'type': 'histogram'}, {'type': 'box'}]]
)
 
fig.add_trace(go.Scatter(x=[1, 2, 3], y=[4, 5, 6]), row=1, col=1)
fig.add_trace(go.Bar(x=['A', 'B'], y=[1, 2]), row=1, col=2)
fig.add_trace(go.Histogram(x=data), row=2, col=1)
fig.add_trace(go.Box(y=data), row=2, col=2)
 
fig.update_layout(height=800, showlegend=False)

uv pip install dash

import dash
from dash import dcc, html
import plotly.express as px
 
app = dash.Dash(__name__)
 
fig = px.scatter(df, x='x', y='y')
 
app.layout = html.Div([
    html.H1('Dashboard'),
    dcc.Graph(figure=fig)
])
 
app.run_server(debug=True)