statsmodels.imputation.mice.MICEData.plot_fit_obs¶

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_name : str¶

The variable to be plotted on the horizontal axis.

lowess_args : dict-like¶

Keyword arguments passed to lowess fit. A dictionary of dictionaries, keys are ‘o’ and ‘i’ denoting ‘observed’ and ‘imputed’, respectively.

lowess_min_n : int¶

Minimum sample size to plot a lowess fit

jitter : float 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_points : bool¶

If True, the data points are plotted.

ax : AxesSubplot¶

Axes on which to plot, created if not provided.

Return type:¶

The matplotlib figure on which the plot is drawn.