Implementation:Sdv dev SDV Get Column Plot

Knowledge Sources	SDV SDMetrics Documentation
Domains	Visualization, Data_Quality
Last Updated	2026-02-14 00:00 GMT

Overview

Wrapper for SDMetrics column visualization, producing 1D marginal distribution comparison plots within SDV workflows.

Description

The get_column_plot function creates a Plotly figure comparing real and synthetic data for a single column. It auto-selects plot type based on column sdtype or accepts an explicit plot_type parameter. Both single-table and multi-table variants exist.

Usage

Call with real data, synthetic data, metadata, and a column name.

Code Reference

Source Location

• Repository: SDV
• File: sdv/evaluation/single_table.py (L64-108), sdv/evaluation/multi_table.py (L56-88)

Signature

def get_column_plot(real_data, synthetic_data, metadata, column_name, plot_type=None):
    """Get a plot comparing real and synthetic data for a column.

    Args:
        real_data (pd.DataFrame): Real data.
        synthetic_data (pd.DataFrame): Synthetic data.
        metadata (Metadata): Table metadata.
        column_name (str): Column to visualize.
        plot_type (str or None): 'distplot', 'bar', or None (auto-detect).

    Returns:
        plotly.graph_objects.Figure: Distribution comparison plot.
    """

Import

from sdv.evaluation.single_table import get_column_plot
# or for multi-table:
from sdv.evaluation.multi_table import get_column_plot

I/O Contract

Inputs

Name	Type	Required	Description
real_data	pd.DataFrame or dict	Yes	Real data
synthetic_data	pd.DataFrame or dict	Yes	Synthetic data
metadata	Metadata	Yes	Metadata
column_name	str	Yes	Column to visualize
plot_type	str or None	No	'distplot', 'bar', or None (auto-detect)

Outputs

Name	Type	Description
return value	plotly.graph_objects.Figure	1D marginal distribution comparison plot

Usage Examples

from sdv.evaluation.single_table import get_column_plot

fig = get_column_plot(real_data, synthetic_data, metadata, column_name='age')
fig.show()

Related Pages

Implements Principle

• Principle:Sdv_dev_SDV_Column_Distribution_Visualization

Requires Environment

• Environment:Sdv_dev_SDV_Python_Runtime