MICEData.plot_missing_pattern()
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: A figure containing a plot of the missing data pattern.
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.imputation.mice.MICEData.plot_missing_pattern.html