Exemple #1
0
    def summary(self):
        """:obj:`statsmodels.iolib.summary.Summary` : Summary table of model estimation results

        Supports export to csv, html and latex  using the methods ``summary.as_csv()``,
        ``summary.as_html()`` and ``summary.as_latex()``.
        """

        title = 'System ' + self._method + ' Estimation Summary'

        top_left = [('Estimator:', self._method),
                    ('No. Equations.:', str(len(self.equation_labels))),
                    ('No. Observations:', str(self.resids.shape[0])),
                    ('Date:', self._datetime.strftime('%a, %b %d %Y')),
                    ('Time:', self._datetime.strftime('%H:%M:%S')), ('', ''),
                    ('', '')]

        top_right = [('Overall R-squared:', _str(self.rsquared)),
                     ('Cov. Estimator:', self._cov_type),
                     ('Num. Constraints: ', self._num_constraints), ('', ''),
                     ('', ''), ('', ''), ('', '')]

        stubs = []
        vals = []
        for stub, val in top_left:
            stubs.append(stub)
            vals.append([val])
        table = SimpleTable(vals, txt_fmt=fmt_2cols, title=title, stubs=stubs)

        # create summary table instance
        smry = Summary()
        # Top Table
        # Parameter table
        fmt = fmt_2cols
        fmt['data_fmts'][1] = '%10s'

        top_right = [('%-21s' % ('  ' + k), v) for k, v in top_right]
        stubs = []
        vals = []
        for stub, val in top_right:
            stubs.append(stub)
            vals.append([val])
        table.extend_right(SimpleTable(vals, stubs=stubs))
        smry.tables.append(table)

        for i, eqlabel in enumerate(self.equation_labels):
            last_row = i == (len(self.equation_labels) - 1)
            results = self.equations[eqlabel]
            dep_name = results.dependent
            title = 'Equation: {0}, Dependent Variable: {1}'.format(
                eqlabel, dep_name)
            pad_bottom = results.instruments is not None and not last_row
            smry.tables.append(
                param_table(results, title, pad_bottom=pad_bottom))
            if results.instruments:
                formatted = format_wide(results.instruments, 80)
                if not last_row:
                    formatted.append([' '])
                smry.tables.append(
                    SimpleTable(formatted, headers=['Instruments']))
        extra_text = ['Covariance Estimator:']
        for line in str(self._cov_estimator).split('\n'):
            extra_text.append(line)
        if self._weight_estimtor:
            extra_text.append('Weight Estimator:')
            for line in str(self._weight_estimtor).split('\n'):
                extra_text.append(line)
        smry.add_extra_txt(extra_text)

        return smry
def test_format_wide():
    k = 26
    inputs = [chr(65 + i) * (20 + i) for i in range(k)]
    out = format_wide(inputs, 80)
    assert max(map(lambda v: len(v), out)) <= 80
    def summary(self) -> Summary:
        """
        Model estimation summary.

        Returns
        -------
        Summary
            Summary table of model estimation results

        Supports export to csv, html and latex  using the methods ``summary.as_csv()``,
        ``summary.as_html()`` and ``summary.as_latex()``.
        """

        title = "System " + self._method + " Estimation Summary"

        top_left = [
            ("Estimator:", self._method),
            ("No. Equations.:", str(len(self.equation_labels))),
            ("No. Observations:", str(self.resids.shape[0])),
            ("Date:", self._datetime.strftime("%a, %b %d %Y")),
            ("Time:", self._datetime.strftime("%H:%M:%S")),
            ("", ""),
            ("", ""),
        ]

        top_right = [
            ("Overall R-squared:", _str(self.rsquared)),
            ("McElroy's R-squared:", _str(self.system_rsquared.mcelroy)),
            ("Judge's (OLS) R-squared:", _str(self.system_rsquared.judge)),
            ("Berndt's R-squared:", _str(self.system_rsquared.berndt)),
            ("Dhrymes's R-squared:", _str(self.system_rsquared.dhrymes)),
            ("Cov. Estimator:", self._cov_type),
            ("Num. Constraints: ", self._num_constraints),
        ]

        stubs = []
        vals = []
        for stub, val in top_left:
            stubs.append(stub)
            vals.append([val])
        table = SimpleTable(vals, txt_fmt=fmt_2cols, title=title, stubs=stubs)

        # create summary table instance
        smry = Summary()
        # Top Table
        # Parameter table
        fmt = fmt_2cols
        fmt["data_fmts"][1] = "%10s"

        top_right = [("%-21s" % ("  " + k), v) for k, v in top_right]
        stubs = []
        vals = []
        for stub, val in top_right:
            stubs.append(stub)
            vals.append([val])
        table.extend_right(SimpleTable(vals, stubs=stubs))
        smry.tables.append(table)

        for i, eqlabel in enumerate(self.equation_labels):
            last_row = i == (len(self.equation_labels) - 1)
            results = self.equations[eqlabel]
            dep_name = results.dependent
            title = "Equation: {0}, Dependent Variable: {1}".format(
                eqlabel, dep_name)
            pad_bottom = results.instruments is not None and not last_row
            smry.tables.append(
                param_table(results, title, pad_bottom=pad_bottom))
            if results.instruments:
                formatted = format_wide(results.instruments, 80)
                if not last_row:
                    formatted.append([" "])
                smry.tables.append(
                    SimpleTable(formatted, headers=["Instruments"]))
        extra_text = ["Covariance Estimator:"]
        for line in str(self._cov_estimator).split("\n"):
            extra_text.append(line)
        if self._weight_estimtor:
            extra_text.append("Weight Estimator:")
            for line in str(self._weight_estimtor).split("\n"):
                extra_text.append(line)
        smry.add_extra_txt(extra_text)

        return smry