http://patsy.readthedocs.org

R style statistical model description. Perfect for Python/pandas + Python/statsmodels.

Example:

#!python
from patsy import dmatrices  
import statsmodels.api as sm 
import pandas as pd

df = pd.read_csv('data.csv')
formula = 'np.log(count) ~ var1 + var2 + var3'
y, X = dmatrices(formula, data=df, return_type='dataframe')
mod = sm.GLM(y, X, family=sm.families.NegativeBinomial())
res = mod.fit()
print(res.summary())

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