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Fixed plot_history and is_zero for covobs

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Simon Kuberski 2021-12-01 15:14:56 +01:00
parent 0e75cf48bc
commit a3310876bf
1 changed files with 2 additions and 2 deletions
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4
pyerrors/obs.py
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@ -459,7 +459,7 @@ class Obs:
atol : float atol : float
Absolute tolerance (for details see numpy documentation). Absolute tolerance (for details see numpy documentation).
""" """
return np.isclose(0.0, self.value, rtol, atol) and all(np.allclose(0.0, delta, rtol, atol) for delta in self.deltas.values()) return (np.isclose(0.0, self.value, rtol, atol) and all(np.allclose(0.0, delta, rtol, atol) for delta in self.deltas.values()) and all(np.allclose(0.0, delta.grad, rtol, atol) for delta in self.covobs.values()))
def plot_tauint(self, save=None): def plot_tauint(self, save=None):
"""Plot integrated autocorrelation time for each ensemble. """Plot integrated autocorrelation time for each ensemble.
@ -578,7 +578,7 @@ class Obs:
if self._dvalue == 0.0: if self._dvalue == 0.0:
raise Exception('Error is 0.0') raise Exception('Error is 0.0')
labels = self.e_names labels = self.e_names
sizes = [i ** 2 for i in list(self.e_dvalue.values())] / self._dvalue ** 2 sizes = [self.e_dvalue[name] ** 2 for name in labels] / self._dvalue ** 2
fig1, ax1 = plt.subplots() fig1, ax1 = plt.subplots()
ax1.pie(sizes, labels=labels, startangle=90, normalize=True) ax1.pie(sizes, labels=labels, startangle=90, normalize=True)
ax1.axis('equal') ax1.axis('equal')