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feat: uncertainty formatting refactored, details output improved.

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Fabian Joswig 2022-10-19 11:43:43 +01:00
commit 4959de82e3
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1 changed files with 18 additions and 12 deletions
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pyerrors/obs.py
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@ -407,14 +407,15 @@ class Obs:
gap = np.min(np.diff(self.idl[e_content[e_name][0]]))
if len(self.e_names) > 1:
print('', e_name, '\t %3.8e +/- %3.8e' % (self.e_dvalue[e_name], self.e_ddvalue[e_name]))
if self.tau_exp[e_name] > 0:
tau_string = ' t_int\t %3.3e +/- %3.3e 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:
tau_string = ' t_int\t %3.3e +/- %3.3e S = %3.2f' % (self.e_tauint[e_name], self.e_dtauint[e_name], self.S[e_name])
print('', e_name, '\t %3.6e +/- %3.6e' % (self.e_dvalue[e_name], self.e_ddvalue[e_name]))
tau_string = " \N{GREEK SMALL LETTER TAU}_int\t " + _format_uncertainty(self.e_tauint[e_name], self.e_dtauint[e_name])
tau_string += f" in units of {gap} config"
if gap > 1:
tau_string += "s"
if self.tau_exp[e_name] > 0:
tau_string = f"{tau_string: <45}" + '\t(\N{GREEK SMALL LETTER TAU}_exp=%3.2f, N_\N{GREEK SMALL LETTER SIGMA}=%1.0i)' % (self.tau_exp[e_name], self.N_sigma[e_name])
else:
tau_string = f"{tau_string: <45}" + '\t(S=%3.2f)' % (self.S[e_name])
print(tau_string)
for e_name in self.cov_names:
print('', e_name, '\t %3.8e' % (self.e_dvalue[e_name]))
@ -700,13 +701,7 @@ class Obs:
def __str__(self):
if self._dvalue == 0.0:
return str(self.value)
fexp = np.floor(np.log10(self._dvalue))
if fexp < 0.0:
return '{:{form}}({:2.0f})'.format(self.value, self._dvalue * 10 ** (-fexp + 1), form='.' + str(-int(fexp) + 1) + 'f')
elif fexp == 0.0:
return '{:.1f}({:1.1f})'.format(self.value, self._dvalue)
else:
return '{:.0f}({:2.0f})'.format(self.value, self._dvalue)
return _format_uncertainty(self.value, self._dvalue)
def __hash__(self):
hash_tuple = (np.array([self.value]).astype(np.float32).data.tobytes(),)
@ -982,6 +977,17 @@ class CObs:
return 'CObs[' + str(self) + ']'
def _format_uncertainty(value, dvalue):
"""Creates a string of a value and its error in paranthesis notation, e.g., 13.02(45)"""
fexp = np.floor(np.log10(dvalue))
if fexp < 0.0:
return '{:{form}}({:2.0f})'.format(value, dvalue * 10 ** (-fexp + 1), form='.' + str(-int(fexp) + 1) + 'f')
elif fexp == 0.0:
return '{:.1f}({:1.1f})'.format(value, dvalue)
else:
return '{:.0f}({:2.0f})'.format(value, dvalue)
def _expand_deltas(deltas, idx, shape):
"""Expand deltas defined on idx to a regular, contiguous range, where holes are filled by 0.
If idx is of type range, the deltas are not changed