Python 2.7 - statsmodels - formatting and writing summary output

There is no premade table of parameters and their result statistics currently available.

Essentially you need to stack all the results yourself, whether in a list, numpy array or pandas DataFrame depends on what's more convenient for you.

for example, if I want one numpy array that has the results for a model, llf and results in the summary parameter table, then I could use

res_all = []
for res in results:
    low, upp = res.confint().T   # unpack columns 
    res_all.append(numpy.concatenate(([res.llf], res.params, res.tvalues, res.pvalues, 
                   low, upp)))

But it might be better to align with pandas, depending on what structure you have across models.

You could write a helper function that takes all the results from the results instance and concatenates them in a row.

(I'm not sure what's the most convenient for writing to csv by rows)

edit:

Here is an example storing the regression results in a dataframe

https://github.com/statsmodels/statsmodels/blob/master/statsmodels/sandbox/multilinear.py#L21

the loop is on line 159.

summary() and similar code outside of statsmodels, for example http://johnbeieler.org/py_apsrtable/ for combining several results, is oriented towards printing and not to store variables.

write_path = '/my/path/here/output.csv'
with open(write_path, 'w') as f:
    f.write(result.summary().as_csv())