Is there a way to compare only particular groups in anova model test using statsmodels in Python similar to SAS's CONTRAST

Question

In SAS there is CONTRAST statement that allows the comparison of only particular groups/means based on the model constructed with all data. In SAS L vector is used for such operations. https://documentation.sas.com/doc/en/statug/15.2/statug_glm_syntax06.htm Is there the same/similar functionality in python's statsmodels/patsy?

my patsy formula looks like that:

model = ols("value ~ C(variety, Sum)", data=df).fit()

the data I have looks like that:

--value--variety
    1    var 1
    32.  var 2
    ...