statsmodels.iolib.summary2.Summary

class statsmodels.iolib.summary2.Summary

Result summary

Construction does not take any parameters. Tables and text can be added with the add_ methods.

Attributes:

tableslist

List of tables added with add_df, add_array or add_dict.

settingslist of dict

Formatting settings associated with each entry in tables.

extra_txtlist of str

Extra lines that are added to the text output.

titlestr

Title of the summary table.

Methods

add_array(array[, align, float_format])	Add the contents of a Numpy array to summary table
add_base(results[, alpha, float_format, ...])	Try to construct a basic summary instance
add_df(df[, index, header, float_format, align])	Add the contents of a DataFrame to summary table
add_dict(d[, ncols, align, float_format])	Add the contents of a Dict to summary table
add_text(string)	Append a note to the bottom of the summary table
add_title([title, results])	Insert a title on top of the summary table
as_html()	Generate HTML summary table
as_latex([label])	Generate LaTeX summary table
as_text()	Generate ASCII summary table

Methods

add_array(array[, align, float_format])	Add the contents of a Numpy array to summary table
add_base(results[, alpha, float_format, ...])	Try to construct a basic summary instance
add_df(df[, index, header, float_format, align])	Add the contents of a DataFrame to summary table
add_dict(d[, ncols, align, float_format])	Add the contents of a Dict to summary table
add_text(string)	Append a note to the bottom of the summary table
add_title([title, results])	Insert a title on top of the summary table
as_html()	Generate HTML summary table
as_latex([label])	Generate LaTeX summary table
as_text()	Generate ASCII summary table