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Visualization

IceFrame integrates with Altair to provide declarative statistical visualization directly from your Iceberg tables.

Installation

pip install "iceframe[viz]"

Usage

Access the visualizer via the viz property.

# Plot distribution (Histogram)
chart = ice.viz.plot_distribution("my_table", "age")
chart.save("age_dist.html")

# Scatter Plot
chart = ice.viz.plot_scatter("my_table", x="age", y="salary", color="department")
chart.save("scatter.html")

# Bar Chart
chart = ice.viz.plot_bar("my_table", x="department", y="salary")
chart.save("bar.html")

# Line Chart
chart = ice.viz.plot_line("my_table", x="date", y="sales")
chart.save("sales.html")

Performance Note

The visualizer automatically limits the number of rows fetched (default 10,000) to prevent crashing your browser or notebook. You can adjust this limit via the limit parameter, but be cautious with large datasets. For larger data, consider aggregating using ice.query() first and then plotting the result.