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)

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.