statsmodels.imputation.mice.MICEData.plot_missing_pattern

MICEData.plot_missing_pattern(ax=None, row_order='pattern', column_order='pattern', hide_complete_rows=False, hide_complete_columns=False, color_row_patterns=True) [source]

Generate an image showing the missing data pattern.

Parameters:	ax (matplotlib axes) – Axes on which to draw the plot. row_order (string) – The method for ordering the rows. Must be one of ‘pattern’, ‘proportion’, or ‘raw’. column_order (string) – The method for ordering the columns. Must be one of ‘pattern’, ‘proportion’, or ‘raw’. hide_complete_rows (boolean) – If True, rows with no missing values are not drawn. hide_complete_columns (boolean) – If True, columns with no missing values are not drawn. color_row_patterns (boolean) – If True, color the unique row patterns, otherwise use grey and white as colors.
Returns:
Return type:	A figure containing a plot of the missing data pattern.