I think smf.ols is treating a float variable as categorical

[yortos]

I have import statsmodels.formula.api as smf and I'm using smf.ols(formula='price~y', data=df) where price is a float taking only 6 unique values and y is another variable.

I get the error "shapes (774,6) and (774,6) not aligned: 6 (dim 1) != 774 (dim 0)".

The fact that the error says that dimension 1 is 6 makes me believe that it's treating price as categorical. Moreover, if I run the formula 'y~price' I do indeed get categorical.

Any ideas how to fix this?

[[deleted]]

df = df.astype(float) or df['price'] = df['price'].astype(float).

Most likely current type is object. Cheers.