Why Plotly?

Plotly charts are interactive:

• Hover tooltips
• Zoom and pan
• Legend toggling

This makes Plotly great for:

• Exploratory analysis
• Sharing insights in a browser
• Lightweight dashboards

Plotly Express vs Graph Objects

• plotly.express (px): high-level, quick charts (recommended to start)
• plotly.graph_objects: low-level building blocks (more control)

This phase focuses on Plotly Express.

First interactive chart

import pandas as pd
import plotly.express as px
 
df = pd.DataFrame({
    "day": [1, 2, 3, 4, 5],
    "orders": [120, 140, 130, 160, 155],
})
 
fig = px.line(df, x="day", y="orders", title="Orders over time")
fig.show()

import pandas as pd
import plotly.express as px
 
df = pd.DataFrame({
    "day": [1, 2, 3, 4, 5],
    "orders": [120, 140, 130, 160, 155],
})
 
fig = px.line(df, x="day", y="orders", title="Orders over time")
fig.show()

Saving/exporting

You can export:

• HTML (best for interactive sharing)
• PNG (static)

# fig.write_html("orders.html")

# fig.write_html("orders.html")

PNG export may require extra dependencies (kaleido).