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我已經寫了一個函數，對數據集進行一些組平均操作。當我調用它運行的函數時，返回被繪製的數據。在此通話期間，我收到一條警告：Spyder控制檯鎖定引起的「IndexError：數組索引太多」
warnings.warn("Warning: converting a masked element to nan.")
這看起來不會影響函數調用。然而，函數返回後，發生了一些事情，它們會鎖定運行python的控制檯（python 2.7，spyder 2.3.5.2，windows 7）。在鎖定時沒有錯誤追蹤，但是當我從這個鎖定恢復時，我得到下面給出的錯誤追蹤。這個「索引錯誤」似乎在Python核心發生，我不知道如何追溯到我的代碼。任何人都可以建議如何確定此錯誤的來源。
了一下下，會出現此錯誤的過程的詳細信息：
當我第一次開始的Spyder我跑在Python控制檯我的主要調用模塊。模塊正確完成，控制檯返回到命令提示符。如果我然後單擊變量資源管理器，則IDE將鎖定並進一步點擊，導致IDE變灰（其他操作可能具有相同的效果）。然後我嘗試關閉提示選項恢復的IDE - 我這樣做。 IDE恢復，那是當我在Python控制檯中得到「索引錯誤」跟蹤。然後，我可以從IDE（黃色三角形）中終止控制檯並重新啓動控制檯。如果我再次運行調用模塊，它會正確運行（即所有輸出），但不會返回到重新啓動的python控制檯中的命令提示符。任何對IDE的點擊都會導致它變灰，我需要關閉IDE才能繼續。
>>> Exception in thread Thread-1:
Traceback (most recent call last):
File "C:\Python27\lib\threading.py", line 810, in __bootstrap_inner
self.run()
File "C:\Python27\lib\site-packages\spyderlib\widgets\externalshell\monitor.py", line 569, in run
self.update_remote_view()
File "C:\Python27\lib\site-packages\spyderlib\widgets\externalshell\monitor.py", line 450, in update_remote_view
remote_view = make_remote_view(ns, settings, more_excluded_names)
File "C:\Python27\lib\site-packages\spyderlib\widgets\externalshell\monitor.py", line 79, in make_remote_view
minmax=settings['minmax'])
File "C:\Python27\lib\site-packages\spyderlib\widgets\dicteditorutils.py", line 202, in value_to_display
value = repr(value)
File "C:\Python27\lib\site-packages\numpy\ma\core.py", line 3667, in __repr__
data=str(self), mask=str(self._mask),
File "C:\Python27\lib\site-packages\numpy\ma\core.py", line 3647, in __str__
res.view(ndarray)[m] = f
IndexError: too many indices for array
發生此錯誤時被調用的代碼是：
def GroupSpectra(spectral, frequency, u, zmd, grp, covar=[1], prenorm=False):
# expand non spectral inputs so they are samwe shape as spectral
frequency = expand(frequency,spectral)
u = expand(u,spectral)
zmd = expand(zmd,spectral)
grp = expand(grp,spectral)
covar = expand(covar,spectral)
scnt = expand(np.array([1]),spectral)
# calc normalized freq
nfreq = frequency*zmd/u
# create frequency bins (freq by grps)
grps = np.unique(grp)
igrps = grps.size
binfreq = np.power(10,np.arange(-5,2,0.1))
iflen = binfreq.size
binfreq = np.tile(binfreq,(igrps,1))
binSpecSum = np.zeros(binfreq.shape)
binSpecSS = np.zeros(binfreq.shape)
binCount = np.ones(binfreq.shape)
binCoVar = np.zeros(binfreq.shape)
SpecAvg = np.zeros(binfreq.shape)
CovAvg = np.zeros(binfreq.shape)
SpecStd = np.zeros(binfreq.shape)
# pre normalize powers ??
if prenorm == True:
spectral = spectral/covar
# put powers in bins
ig = 0
for ig in np.arange(igrps):
idg = grp == grps[ig]
for ix in np.arange(0,iflen-1):
flow = binfreq[0,ix]
fhigh = binfreq[0,ix+1]
idf = ((nfreq >= flow) & (nfreq < fhigh))
idfg= idg & idf
binCount[ig,ix] = np.nansum(scnt[idfg])
binSpecSum[ig,ix] = np.nansum(spectral[idfg])
binSpecSS[ig,ix] = np.nansum(np.power(spectral[idfg],2.0))
binCoVar[ig,ix] = np.nansum(covar[idfg])
# avg spectra
idb = binCount > 0.5
SpecAvg[idb] = np.divide(binSpecSum[idb],binCount[idb])
FreqAvg = binfreq
SpecStd[idb] = np.sqrt(np.divide(binSpecSS[idb],binCount[idb]) - np.square(SpecAvg[idb]))
CovAvg[idb] = np.divide(binCoVar[idb],binCount[idb])
# pre normalize powers ??
if prenorm == False:
ida = CovAvg != 0.0
idb = np.isfinite(CovAvg)
idx = ida & idb
SpecAvg[idx] = np.divide(SpecAvg[idx],CovAvg[idx])
# SpecStd = SpecStd/CovAvg
print(FreqAvg.shape)
print(SpecAvg.shape)
print(SpecStd.shape)
return (FreqAvg,SpecAvg, SpecStd)
的異常似乎正在發生[在與Spyder的外部Python shell相關的函數中]（https://github.com/spyder-ide/spyder/blob/master/spyderlib/widgets/externalshell/monitor.py#L47-L69）。當您在Spyder外部運行相同的代碼時，會發生此錯誤，例如在IPython中還是普通的Python shell？ –
嗨，如果我從Spyder的IPython Qt控制檯運行代碼，則會出現同樣的問題。但是，如果我從一個從Windows命令提示符啓動的python解釋器運行該模塊，那麼問題似乎不存在。 – RJCL
另外，如果我從Spyder啓動的IPython shell運行模塊，則問題不會出現。 – RJCL