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Feat/str format (#170)

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* feat: _format_uncertainty now accepts a significance.

* feat: __format__ now accepts significance.

* feat: explicit + sign added to format.

* fix: - option removed from format specifier.

* feat: space format added.
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Fabian Joswig 2023-04-20 17:31:37 +01:00 • committed by GitHub
parent a214465413
commit be061fdc23
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2 changed files with 31 additions and 4 deletions
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21
pyerrors/obs.py
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@ -695,6 +695,15 @@ class Obs:
def __str__(self):
return _format_uncertainty(self.value, self._dvalue)
def __format__(self, format_type):
my_str = _format_uncertainty(self.value, self._dvalue,
significance=int(float(format_type.replace("+", "").replace("-", ""))))
for char in ["+", " "]:
if format_type.startswith(char):
if my_str[0] != "-":
my_str = char + my_str
return my_str
def __hash__(self):
hash_tuple = (np.array([self.value]).astype(np.float32).data.tobytes(),)
hash_tuple += tuple([o.astype(np.float32).data.tobytes() for o in self.deltas.values()])
@ -969,17 +978,21 @@ class CObs:
return 'CObs[' + str(self) + ']'
def _format_uncertainty(value, dvalue):
def _format_uncertainty(value, dvalue, significance=2):
"""Creates a string of a value and its error in paranthesis notation, e.g., 13.02(45)"""
if dvalue == 0.0:
return str(value)
if not isinstance(significance, int):
raise TypeError("significance needs to be an integer.")
if significance < 1:
raise ValueError("significance needs to be larger than zero.")
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')
return '{:{form}}({:1.0f})'.format(value, dvalue * 10 ** (-fexp + significance - 1), form='.' + str(-int(fexp) + significance - 1) + 'f')
elif fexp == 0.0:
return '{:.1f}({:1.1f})'.format(value, dvalue)
return f"{value:.{significance - 1}f}({dvalue:1.{significance - 1}f})"
else:
return '{:.0f}({:2.0f})'.format(value, dvalue)
return f"{value:.{max(0, int(significance - fexp - 1))}f}({dvalue:2.{max(0, int(significance - fexp - 1))}f})"
def _expand_deltas(deltas, idx, shape, gapsize):

14
tests/obs_test.py
View file

@ -1213,3 +1213,17 @@ def test_nan_obs():
o.idl['test'] = [1, 5] + list(range(7, 2002, 2))
no = np.NaN * o
no.gamma_method()
def test_format_uncertainty():
assert pe.obs._format_uncertainty(0.548, 0.248976, 4) == '0.5480(2490)'
assert pe.obs._format_uncertainty(0.548, 2.48497, 2) == '0.5(2.5)'
assert pe.obs._format_uncertainty(0.548, 2.48497, 4) == '0.548(2.485)'
assert pe.obs._format_uncertainty(0.548, 20078.3, 9) == '0.5480(20078.3000)'
def test_format():
o1 = pe.pseudo_Obs(0.348, 0.0123, "test")
assert o1.__format__("+3") == '+0.3480(123)'
assert o1.__format__("+2") == '+0.348(12)'
assert o1.__format__(" 2") == ' 0.348(12)'