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Statsmodels Iolib Summary2 Statsmodels 0 14 4

Leo Migdal
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statsmodels iolib summary2 statsmodels 0 14 4

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 Communities for your favorite technologies.

Explore all Collectives Stack Overflow for Teams is now called Stack Internal. Bring the best of human thought and AI automation together at your work. Bring the best of human thought and AI automation together at your work. Learn more Find centralized, trusted content and collaborate around the technologies you use most.

Bring the best of human thought and AI automation together at your work. 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

© 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 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. There was an error while loading. Please reload this page. statsmodels offers some functions for input and output.

These include a reader for STATA files, a class for generating tables for printing in several formats and two helper functions for pickling. Users can also leverage the powerful input/output functions provided by pandas.io. Among other things, pandas (a statsmodels dependency) allows reading and writing to Excel, CSV, and HDF5 (PyTables). foreign.savetxt(fname, X[, names, fmt, ...]) table.SimpleTable(data[, headers, stubs, ...]) Produce a simple ASCII, CSV, HTML, or LaTeX table from a rectangular (2d!) array of data, not necessarily numerical.

Create a dict with information about the model

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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 Communities for your favorite technologies.

Explore All Collectives Stack Overflow For Teams Is Now Called

Explore all Collectives Stack Overflow for Teams is now called Stack Internal. Bring the best of human thought and AI automation together at your work. Bring the best of human thought and AI automation together at your work. Learn more Find centralized, trusted content and collaborate around the technologies you use most.

Bring The Best Of Human Thought And AI Automation Together

Bring the best of human thought and AI automation together at your work. 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 ...

© 2009–2012 Statsmodels Developers© 2006–2008 Scipy Developers© 2006 Jonathan E.

© 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 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 i...

The Key Components Of The Results And Summary Tables System

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. There was an error while loading. Please reload this page. statsmodels offers some functions for i...