如何解决以下错误？
我正在尝试calucalte normsINV值..但是当我在我的应用程序代码中使用它时面临问题
Internal Server Error: /reports/rschighlevel/
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/django/core/handlers/exception.py", line 41, in inner
response = get_response(request)
File "/usr/local/lib/python2.7/dist-packages/django/core/handlers/base.py", line 187, in _get_response
response = self.process_exception_by_middleware(e, request)
File "/usr/local/lib/python2.7/dist-packages/django/core/handlers/base.py", line 185, in _get_response
response = wrapped_callback(request, *callback_args, **callback_kwargs)
File "/usr/local/lib/python2.7/dist-packages/django/contrib/auth/decorators.py", line 23, in _wrapped_view
return view_func(request, *args, **kwargs)
File "/home/pulsedev2/prod/pulse.corp.uber.internal/ats/reports/views.py", line 167, in rschighlevel
print norm.ppf(a)
File "/usr/lib/python2.7/dist-packages/scipy/stats/distributions.py", line 1514, in ppf
place(output, cond, self._ppf(*goodargs) * scale + loc)
File "/usr/lib/python2.7/dist-packages/scipy/stats/distributions.py", line 2187, in _ppf
return _norm_ppf(q)
File "/usr/lib/python2.7/dist-packages/scipy/stats/distributions.py", line 2133, in _norm_ppf
return special.ndtri(q)
TypeError: ufunc 'ndtri' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe'
这是我的代码：
from scipy.stats import norm
from scipy.special import ndtri
import pdb
sigma = []
for i in usigma:
a = (1-i[6])
print type(a)
print norm.ppf(a) - Error Line
sigma.append([i[0],i[1],i[2],i[3],i[4],i[5],i[6],i[7], a])
print sigma
我使用Python 2.7和Django。
