8000 FutureWarning when using slice. · Issue #833 · Unidata/netcdf4-python · GitHub
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FutureWarning when using slice. #833

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brorfred opened this issue Aug 19, 2018 · 2 comments
Closed

FutureWarning when using slice. #833

brorfred opened this issue Aug 19, 2018 · 2 comments

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@brorfred
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brorfred commented Aug 19, 2018 •
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Dear all,

Numpy recently turned on a deprecation warning for indexing with lists containing None (arr[[None, 0]], numpy/numpy#9686). This seems to be biting netCDF4 when using the 'slice' command. The following code works fine.

Aarr = np.zeros((100,100))
aslice = (slice(5,7,-1), slice(5,7))
Aarr[aslice]

result:

Out[192]: 
array([[0., 0.],
       [0., 0.]])

But an analogous case with netCDF4

#curl -O https://oceandata.sci.gsfc.nasa.gov/cgi/getfile/A20021852018181.L3m_CU_PAR_par_9km.nc

nc = netCDF4.Dataset("A20021852018181.L3m_CU_PAR_par_9km.nc")
aslice = (slice(5,7,-1), slice(5,7))
nc.variables["par"][aslice]

triggers the warning

/Users/bror/anaconda3/bin/ipython3w:1: FutureWarning: Using a non-tuple sequence for     
multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this   will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a        
different result.

/Bror Jonsson
@jswhit
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jswhit commented Aug 19, 2018

Confirmed. Will take some digging to see where this warning is being emitted.

jswhit pushed a commit that referenced this issue Aug 19, 2018
fix numpy deprecation warning for non-tuple slices (issue #833)
eceed99
jswhit pushed a commit that referenced this issue Aug 20, 2018
Merge pull request #834 from Unidata/issue833
151ccb3 
fix numpy deprecation warning for non-tuple slices (issue #833)
@jswhit
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jswhit commented Aug 20, 2018

Fixed by pull request #834 - thanks for the report!

@jswhit jswhit closed this as completed Aug 20, 2018
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