DescStatUV.plot_contour()

statsmodels.emplike.descriptive.DescStatUV.plot_contour

DescStatUV.plot_contour(mu_low, mu_high, var_low, var_high, mu_step, var_step, levs=[0.2, 0.1, 0.05, 0.01, 0.001]) [source]

Returns a plot of the confidence region for a univariate mean and variance.

Parameters:

mu_low : float Lowest value of the mean to plot mu_high : float Highest value of the mean to plot var_low : float Lowest value of the variance to plot var_high : float Highest value of the variance to plot mu_step : float Increments to evaluate the mean var_step : float Increments to evaluate the mean levs : list Which values of significance the contour lines will be drawn. Default is [.2, .1, .05, .01, .001]

Returns:

fig : matplotlib figure instance The contour plot