Logit Based on Column Condition?

Question

Is there a way to regress using logit in python based on a condition from a column? For example, we have columns A--F, with A being the dependent (0,1 value) and B being a segment column (let's say Cat, Dog, Mouse) rest being independent. I would like to regress only if column B says "Cat". Is this possible? I've tried many methods but all have failed!

model = random_data[random_data['B'] = 'Cat', smf.logit("A ~ C + D + E", data = random_data)]

model.summary()

Even tried:

smf.logit("A ~ C + D + E", data = random_data[random_data['B'] = 'Cat')`

EDIT: I solved it with:

smf.logit("A ~ C + D + E", data = random_data[random_data['B'] == "Cat"]).fit()

Hope this helps someone!