4 5 6 Statsmodels Iolib Summary2 Statsmodels Api V1
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 This page documents the components and functionality of the Results and Summary Tables system in statsmodels, which provides tools for formatting, displaying, and exporting model results in various formats.
For information about creating data structures and specifying models, see Data Handling and Model Formula Interface. The results and summary system enables users to generate publication-quality output from statistical model results in text, HTML, LaTeX, and CSV formats, facilitating model interpretation across different environments (console, Jupyter notebooks, academic papers). The key components of the results and summary tables system are: Sources: statsmodels/iolib/summary2.py16-249 statsmodels/iolib/table.py124-485 statsmodels/iolib/table.py499-632 statsmodels/iolib/table.py634-759 The Summary class is the primary interface for creating formatted model result summaries. Summarize multiple results instances side-by-side (coefs and SEs)
results : statsmodels results instance or list of result instances float format for coefficients and standard errors Default : ‘%.4f’ model_names : list of strings of length len(results) if the names are not unique, a roman number will be appended to all model names There was an error while loading. Please reload this page.
Produce a simple ASCII, CSV, HTML, or LaTeX table from a rectangular (2d!) array of data, not necessarily numerical. Directly supports at most one header row, which should be the length of data[0]. Directly supports at most one stubs column, which must be the length of data. (But see insert_stubs method.) See globals default_txt_fmt, default_csv_fmt, default_html_fmt, and default_latex_fmt for formatting options. data : list of lists or 2d array (not matrix!) the cell class for the table (default: Cell)
the row class for the table (default: Row) data : list of lists or 2d array (not matrix!) © 2009–2012 Statsmodels Developers© 2006–2008 Scipy Developers© 2006 Jonathan E. TaylorLicensed under the 3-clause BSD License. http://www.statsmodels.org/stable/generated/statsmodels.iolib.summary2.Summary.html
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Add The Contents Of A Numpy Array To Summary Table
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 This page documents the components and functionality of the Results and Summary Tables system in statsmodels, which provides tools for formatting, displaying, and...
For Information About Creating Data Structures And Specifying Models, See
For information about creating data structures and specifying models, see Data Handling and Model Formula Interface. The results and summary system enables users to generate publication-quality output from statistical model results in text, HTML, LaTeX, and CSV formats, facilitating model interpretation across different environments (console, Jupyter notebooks, academic papers). The key components...
Results : Statsmodels Results Instance Or List Of Result Instances
results : statsmodels results instance or list of result instances float format for coefficients and standard errors Default : ‘%.4f’ model_names : list of strings of length len(results) if the names are not unique, a roman number will be appended to all model names There was an error while loading. Please reload this page.
Produce A Simple ASCII, CSV, HTML, Or LaTeX Table From
Produce a simple ASCII, CSV, HTML, or LaTeX table from a rectangular (2d!) array of data, not necessarily numerical. Directly supports at most one header row, which should be the length of data[0]. Directly supports at most one stubs column, which must be the length of data. (But see insert_stubs method.) See globals default_txt_fmt, default_csv_fmt, default_html_fmt, and default_latex_fmt for for...
The Row Class For The Table (default: Row) Data :
the row class for the table (default: Row) data : list of lists or 2d array (not matrix!) © 2009–2012 Statsmodels Developers© 2006–2008 Scipy Developers© 2006 Jonathan E. TaylorLicensed under the 3-clause BSD License. http://www.statsmodels.org/stable/generated/statsmodels.iolib.summary2.Summary.html