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refactor: imports of scipy.stats in fits simplified.

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Fabian Joswig 2022-06-15 14:14:01 +01:00
parent d600793d0e
commit 0150ef4c0b
1 changed files with 2 additions and 3 deletions
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5
pyerrors/fits.py
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@ -8,7 +8,6 @@ import scipy.stats
import matplotlib.pyplot as plt
from matplotlib import gridspec
from scipy.odr import ODR, Model, RealData
from scipy.stats import chi2
import iminuit
from autograd import jacobian
from autograd import elementwise_grad as egrad
@ -303,7 +302,7 @@ def total_least_squares(x, y, func, silent=False, **kwargs):
output.odr_chisquare = odr_chisquare(np.concatenate((out.beta, out.xplus.ravel())))
output.dof = x.shape[-1] - n_parms
output.p_value = 1 - chi2.cdf(output.odr_chisquare, output.dof)
output.p_value = 1 - scipy.stats.chi2.cdf(output.odr_chisquare, output.dof)
return output
@ -594,7 +593,7 @@ def _standard_fit(x, y, func, silent=False, **kwargs):
output.chisquare = chisquare
output.dof = x.shape[-1] - n_parms
output.p_value = 1 - chi2.cdf(output.chisquare, output.dof)
output.p_value = 1 - scipy.stats.chi2.cdf(output.chisquare, output.dof)
if kwargs.get('resplot') is True:
residual_plot(x, y, func, result)