solarwindpy.fitfunctions.tex_info.TeXinfo

class TeXinfo(popt, psigma, TeX_function, chisq_dof, rsq, initial_guess_info=None, npts=None)

Bases: object

__init__(popt, psigma, TeX_function, chisq_dof, rsq, initial_guess_info=None, npts=None)

A container for printing FitFunction info on a figure.

Parameters:

• popt (dict) – Optimized fit parameters and their uncertainties.

• psigma (dict) – Optimized fit parameters and their uncertainties.

• TeX_function (str) – TeX-formatted function for printing

• chisq_dof (scalar, None) – If not None, chisq per degree of freedom for the fit.

• rsq (scalar, None) – If not None, \(R^2\) coefficient of determination for the fit.

• initial_guess_info (dict, None) – If not None, a dict with keys corresponding to function arg names and values that are (p0, fit_bounds) for that fit parameter.

• npts (scalar, None) – If not None, the number of data points in the fit. If not None, cast to int.

property info

property initial_guess_info

property chisq_dof

property npts

property popt

property psigma

property rsq

\(R^2\) coefficient of determination.

property TeX_argnames

property TeX_function

property TeX_popt

Create a dictionary with (k, v) pairs corresponding to parameter values.

(self.argnames, :math:`p_{\mathrm{opt}} \pm \sigma_p`) with the appropriate uncertainty.

See set_TeX_trans_argnames to translate the argnames for TeX.

property TeX_relative_error

Create a dictionary with (k, v) pairs corresponding to relative errors.

(self.argnames, psigma/popt).

annotate_info(ax, **kwargs)

Add the TeX_info annotation to ax.

Parameters:

• ax (mpl.Axes.axis_subplot)

• bbox (dict) – dict(color=”wheat”, alpha=0.75)

• xloc (scalar) – 0.05, 0.9

• yloc (scalar) – 0.05, 0.9

• ha (str) – ha - horizontalalignment (defaults “left”) va - verticalalignment (default “right”)

• va (str) – ha - horizontalalignment (defaults “left”) va - verticalalignment (default “right”)

• transform – ax.transAxes

• kwargs – Others passed to ax.text.

build_info(**kwargs)

Generate a TeX-formatted string with the desired info.

Parameters:

• TeX_popt (dict) – FitFunction.TeX_popt() dictionary, which contains keys identifying the parameter and values their value.

• TeX_function (str) – FitFunction.TeX_function() contents giving the functional form in TeX.

• chisq_dof (bool) – If True, include chisq/dof in the info. It is printed to 2 decimal places.

• relative_error (bool) – If True, print out relative error as \(\Delta(x)/x\) for all fit parameters x.

• rsq (bool) – If True, include \(R^2\) coefficient of determination.

• npts (bool) – If True, include the number of points in the fit.

• convert_pow_10 (bool) – If True, use 10^{X} format. Otherwise, use eX format. Note that simplify_info_for_paper must be disabled.

• strip_uncertaintites (bool) – If True, strip fit uncertainties from reported parameters.

• simplify_info_for_paper (bool) – If True, simplify the printout to only print the quantities to their uncertainty in standard decimal (not expoential) notation. This option overrides convert_pow_10.

• add_initial_guess (bool) – If True and initial_guess_info() is not None, add (p0, fit_bounds) table to info.

• additional_info (str or iterable of strings) – Additional info added to the fit info annotation box.

• annotate_fcn (FunctionType) – Function that manipulates the final TeX_info str before returning.

set_initial_guess_info(new)

set_npts(new)

set_popt_psigma(popt, psigma)

set_TeX_argnames(**kwargs)

Define the mapping to format LaTeX function argnames.

set_TeX_function(TeX_function)

set_chisq_dof(new)

set_rsq(new)

val_uncert_2_string(value, uncertainty)

Convert a value, uncertainty pair to a string.

Where the value is reported to the first non-zero digit of the uncertainty.

Require that value > uncertainty.

Examples

The generated string uses \(\pm\) to denote the uncertainty.

>>> tex = TeXinfo({}, {}, "", None, None)
>>> a = 3.1415
>>> b = 0.01
>>> tex.val_uncert_2_string(a, b)
'3.14e+00 \\pm 1e-02'