From 57cd4e99662e3f6fe473a0c060354c2716442090 Mon Sep 17 00:00:00 2001 From: fjosw Date: Fri, 12 Nov 2021 16:25:23 +0000 Subject: [PATCH] Documentation updated --- docs/pyerrors/obs.html | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/pyerrors/obs.html b/docs/pyerrors/obs.html index f40d96b6..86a504d0 100644 --- a/docs/pyerrors/obs.html +++ b/docs/pyerrors/obs.html @@ -660,6 +660,8 @@ ens_content : bool print details about the ensembles and replica if true. """ + if self.tag is not None: + print("Description:", self.tag) if self.value == 0.0: percentage = np.nan else: @@ -675,8 +677,6 @@ 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[e_name])) else: 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])) - if self.tag is not None: - print("Description:", self.tag) if ens_content is True: if len(self.e_names) == 1: print(self.N, 'samples in', len(self.e_names), 'ensemble:') @@ -2214,6 +2214,8 @@ ens_content : bool print details about the ensembles and replica if true. """ + if self.tag is not None: + print("Description:", self.tag) if self.value == 0.0: percentage = np.nan else: @@ -2229,8 +2231,6 @@ 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[e_name])) else: 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])) - if self.tag is not None: - print("Description:", self.tag) if ens_content is True: if len(self.e_names) == 1: print(self.N, 'samples in', len(self.e_names), 'ensemble:') @@ -3139,6 +3139,8 @@ of the autocorrelation function (default True) ens_content : bool print details about the ensembles and replica if true. """ + if self.tag is not None: + print("Description:", self.tag) if self.value == 0.0: percentage = np.nan else: @@ -3154,8 +3156,6 @@ of the autocorrelation function (default True) 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[e_name])) else: 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])) - if self.tag is not None: - print("Description:", self.tag) if ens_content is True: if len(self.e_names) == 1: print(self.N, 'samples in', len(self.e_names), 'ensemble:')