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])

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 – The contour plot

Return type:

matplotlib figure instance