Python 2.7 | 您所在的位置:网站首页 › numpyconcatenate › Python 2.7 |
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()) |
CopyRight 2018-2019 实验室设备网 版权所有 |