O código:
import scipy as sp
import scipy.stats
def mean_confidence_interval(data, confidence=0.95):
a = 1.0*np.array(data)
n = len(a)
m, se = np.mean(a), scipy.stats.sem(a)
h = se * sp.stats.t._ppf((1+confidence)/2., n-1)
return m, m-h, m+h
print(mean_confidence_interval(lista_matrizes2, confidence=0.95))#Intevalo de confiança
Estou recebendo o seguinte erro:
ValueError Traceback (most recent call last)
<ipython-input-118-f8b83fe84702> in <module>()
11
12
---> 13 print(mean_confidence_interval(lista_matrizes2, confidence=0.95))#Intevalo de confiança
<ipython-input-118-f8b83fe84702> in mean_confidence_interval(data, confidence)
5 a = 1.0*np.array(data)
6 n = len(a)
----> 7 m, se = np.mean(a), scipy.stats.sem(a)
8 h = se * sp.stats.t._ppf((1+confidence)/2., n-1)
9 return m, m-h, m+h
/usr/local/lib/python3.5/dist-packages/scipy/stats/stats.py in sem(a, axis, ddof, nan_policy)
2181 a, axis = _chk_asarray(a, axis)
2182
-> 2183 contains_nan, nan_policy = _contains_nan(a, nan_policy)
2184
2185 if contains_nan and nan_policy == 'omit':
/usr/local/lib/python3.5/dist-packages/scipy/stats/stats.py in _contains_nan(a, nan_policy)
245 "values. nan values will be ignored.", RuntimeWarning)
246
--> 247 if contains_nan and nan_policy == 'raise':
248 raise ValueError("The input contains nan values")
249
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
Alguma ideia do que está ocorrendo? Como resolver?