lazy_align.py

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-4-f890f17f75fd> in <module>()
----> 1 s.align_zero_loss_peak()

C:\ProgramData\Miniconda3\lib\site-packages\hyperspy\_signals\eels.py in align_zero_loss_peak(self, calibrate, also_align, print_stats, subpixel, mask, signal_range, show_progressbar, **kwargs)
    287 
    288         zlpc = estimate_zero_loss_peak_centre(self, mask, signal_range)
--> 289         mean_ = without_nans(zlpc.data).mean()
    290         if print_stats is True:
    291             print()

C:\ProgramData\Miniconda3\lib\site-packages\hyperspy\misc\utils.py in without_nans(data)
    753 
    754 def without_nans(data):
--> 755     return data[~np.isnan(data)]
    756 
    757 

C:\ProgramData\Miniconda3\lib\site-packages\dask\array\core.py in __getitem__(self, index)
   1236             return self
   1237 
-> 1238         dsk, chunks = slice_array(out, self.name, self.chunks, index)
   1239 
   1240         dsk2 = sharedict.merge(self.dask, (out, dsk))

C:\ProgramData\Miniconda3\lib\site-packages\dask\array\slicing.py in slice_array(out_name, in_name, blockdims, index)
    158 
    159     # Pass down to next function
--> 160     dsk_out, bd_out = slice_with_newaxes(out_name, in_name, blockdims, index)
    161 
    162     bd_out = tuple(map(tuple, bd_out))

C:\ProgramData\Miniconda3\lib\site-packages\dask\array\slicing.py in slice_with_newaxes(out_name, in_name, blockdims, index)
    180 
    181     # Pass down and do work
--> 182     dsk, blockdims2 = slice_wrap_lists(out_name, in_name, blockdims, index2)
    183 
    184     if where_none:

C:\ProgramData\Miniconda3\lib\site-packages\dask\array\slicing.py in slice_wrap_lists(out_name, in_name, blockdims, index)
    223 
    224     for bd_size, i in zip(shape, index):
--> 225         check_index(i, bd_size)
    226 
    227     # Change indices like -1 to 9

C:\ProgramData\Miniconda3\lib\site-packages\dask\array\slicing.py in check_index(ind, dimension)
    731         x = np.asanyarray(ind)
    732         if (x >= dimension).any() or (x < -dimension).any():
--> 733             raise IndexError("Index out of bounds %s" % dimension)
    734     elif isinstance(ind, slice):
    735         return

IndexError: Index out of bounds 382