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Obs.print renamed to Obs.details
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parent
67fc15e001
commit
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2 changed files with 23 additions and 23 deletions
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@ -379,29 +379,30 @@ class Obs:
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return
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def print(self, level=1):
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"""Print basic properties of the Obs."""
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if level == 0:
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print(self)
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warnings.warn("Method 'print' renamed to 'details'", DeprecationWarning)
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self.details(level)
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def details(self, level=1):
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"""Output detailed properties of the Obs."""
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if self.value == 0.0:
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percentage = np.nan
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else:
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if self.value == 0.0:
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percentage = np.nan
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else:
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percentage = np.abs(self.dvalue / self.value) * 100
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print('Result\t %3.8e +/- %3.8e +/- %3.8e (%3.3f%%)' % (self.value, self.dvalue, self.ddvalue, percentage))
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if hasattr(self, 'e_dvalue'):
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percentage = np.abs(self.dvalue / self.value) * 100
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print('Result\t %3.8e +/- %3.8e +/- %3.8e (%3.3f%%)' % (self.value, self.dvalue, self.ddvalue, percentage))
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if hasattr(self, 'e_dvalue'):
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if len(self.e_names) > 1:
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print(' Ensemble errors:')
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for e_name in self.e_names:
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if len(self.e_names) > 1:
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print(' Ensemble errors:')
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print('', e_name, '\t %3.8e +/- %3.8e' % (self.e_dvalue[e_name], self.e_ddvalue[e_name]))
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if self.tau_exp[e_name] > 0:
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print(' t_int\t %3.8e +/- %3.8e tau_exp = %3.2f, N_sigma = %1.0i' % (self.e_tauint[e_name], self.e_dtauint[e_name], self.tau_exp[e_name], self.N_sigma))
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else:
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print(' t_int\t %3.8e +/- %3.8e S = %3.2f' % (self.e_tauint[e_name], self.e_dtauint[e_name], self.S[e_name]))
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if level > 1:
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print(self.N, 'samples in', len(self.e_names), 'ensembles:')
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for e_name in self.e_names:
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if len(self.e_names) > 1:
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print('', e_name, '\t %3.8e +/- %3.8e' % (self.e_dvalue[e_name], self.e_ddvalue[e_name]))
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if self.tau_exp[e_name] > 0:
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print(' t_int\t %3.8e +/- %3.8e tau_exp = %3.2f, N_sigma = %1.0i' % (self.e_tauint[e_name], self.e_dtauint[e_name], self.tau_exp[e_name], self.N_sigma))
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else:
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print(' t_int\t %3.8e +/- %3.8e S = %3.2f' % (self.e_tauint[e_name], self.e_dtauint[e_name], self.S[e_name]))
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if level > 1:
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print(self.N, 'samples in', len(self.e_names), 'ensembles:')
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for e_name in self.e_names:
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print(e_name, ':', self.e_content[e_name])
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print(e_name, ':', self.e_content[e_name])
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def is_zero_within_error(self, sigma=1):
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"""Checks whether the observable is zero within 'sigma' standard errors.
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@ -223,9 +223,8 @@ def test_overloaded_functions():
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def test_utils():
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my_obs = pe.pseudo_Obs(1.0, 0.5, 't')
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my_obs.print(0)
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my_obs.print(1)
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my_obs.print(2)
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my_obs.details(1)
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my_obs.details(2)
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assert not my_obs.is_zero_within_error()
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my_obs.plot_tauint()
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my_obs.plot_rho()
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