causalkit.eda.eda.CausalEDA.data_shape#

CausalEDA.data_shape()[source]#

Return the shape information of the causal dataset.

Returns a dict with: - n_rows: number of rows (observations) in the dataset - n_columns: number of columns (features) in the dataset

This provides a quick overview of the dataset dimensions for exploratory analysis and reporting purposes.

Returns:: Dictionary containing ‘n_rows’ and ‘n_columns’ keys with corresponding integer values representing the dataset dimensions.
Return type:: Dict[str, int]

Examples

>>> eda = CausalEDA(causal_data)
>>> shape_info = eda.data_shape()
>>> print(f"Dataset has {shape_info['n_rows']} rows and {shape_info['n_columns']} columns")