statsmodels.imputation.mice.MICEData.plot_fit_obs¶

method

MICEData.plot_fit_obs(col_name, lowess_args=None, lowess_min_n=40, jitter=None, plot_points=True, ax=None)[source]¶

Plot fitted versus imputed or observed values as a scatterplot.

Parameters

col_namestring: The variable to be plotted on the horizontal axis.
lowess_argsdict-like: Keyword arguments passed to lowess fit. A dictionary of dictionaries, keys are ‘o’ and ‘i’ denoting ‘observed’ and ‘imputed’, respectively.
lowess_min_ninteger: Minimum sample size to plot a lowess fit
jitterfloat or tuple: Standard deviation for jittering points in the plot. Either a single scalar applied to both axes, or a tuple containing x-axis jitter and y-axis jitter, respectively.
plot_pointsbool: If True, the data points are plotted.
axmatplotlib axes object: Axes on which to plot, created if not provided.

Returns