本文整理汇总了Python中fitter.Fitter.get_best方法的典型用法代码示例。如果您正苦于以下问题：Python Fitter.get_best方法的具体用法？Python Fitter.get_best怎么用？Python Fitter.get_best使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类fitter.Fitter的用法示例。
在下文中一共展示了Fitter.get_best方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_gamma
# 需要导入模块: from fitter import Fitter [as 别名]
# 或者: from fitter.Fitter import get_best [as 别名]
def test_gamma():
from scipy import stats
data = stats.gamma.rvs(2, loc=1.5, scale=2, size=10000)
f = Fitter(data, bins=100)
f.xmin = -10 #should have no effect
f.xmax = 1000000 # no effet
f.xmin=0.1
f.xmax=10
f.distributions = ['gamma', "alpha"]
f.fit()
df = f.summary()
assert len(df)
f.plot_pdf(names=["gamma"])
f.plot_pdf(names="gamma")
res = f.get_best()
assert "gamma" in res.keys()示例2: print
# 需要导入模块: from fitter import Fitter [as 别名]
# 或者: from fitter.Fitter import get_best [as 别名]
print(header)
for h in header[1:]:
allele_variants[h] = []
for row in rows[1:]:
for i in range(1,len(row)):
allele_variants[header[i]].append(int(float(row[i])))
#print(allele_variants)
output = {}
for av in allele_variants:
allele_variants[av] = np.array(allele_variants[av])
print("Now working with %s" % (av))
f = Fitter(allele_variants[av],bins=max(allele_variants[av])-min(allele_variants[av]))
#f.distributions = f.distributions[0:10] + ['gamma']
f.fit()
#array = f.fitted_pdf[f.get_best().keys()[0]]
#print(f.get_best())
#generate_histogram(av, allele_variants[av], array, f._get_xmin(), f._get_xmax(), )
f.summary(Nbest=1)
output[av] = f.get_best()
print(output[av])
plt.savefig("img/"+av+".png")
print("Finished!")
a,b,c = output[av]['tukeylambda']
broj = tukeylambda.rvs(a,b,c, size=1)
print('random number %d' % int(broj))
exit()
print(output)