BUG: Handle additional data types in rio.reproject

[caldwellst]

• Closes _NODATA_DTYPE_MAP causing bug in rio.reproject() #618
• Documented in docs/history.rst and edited hyperlink comment in rioxarray/raster_array.py

[codecov]

Codecov Report

Base: 96.02% // Head: 95.90% // Decreases project coverage by -0.11% ⚠️

Coverage data is based on head (fffee84) compared to base (0f77e13).
Patch has no changes to coverable lines.

❗ Current head fffee84 differs from pull request most recent head dabc42b. Consider uploading reports for the commit dabc42b to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #619      +/-   ##
==========================================
- Coverage   96.02%   95.90%   -0.12%     
==========================================
  Files          12       12              
  Lines        1735     1735              
==========================================
- Hits         1666     1664       -2     
- Misses         69       71       +2     

Impacted Files	Coverage Δ
rioxarray/raster_array.py	98.13% <ø> (ø)
rioxarray/rioxarray.py	96.15% <0.00%> (-0.46%)	⬇️

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[snowman2]

One option to make this more future proof is to change this:

rioxarray/rioxarray/raster_array.py

Line 513 in 0f77e13

_NODATA_DTYPE_MAP[dtype_rev[self._obj.dtype.name]]

to:

_NODATA_DTYPE_MAP.get(dtype_rev[self._obj.dtype.name])

Thoughts?

[caldwellst]

I think that sounds like a solid idea, particularly as it seems unlikely new data types will be added with corresponding defaults. It may be useful to just set a reminder to check in a set period of time (1 year) if that list has changed in case standard defaults have been added for those that are None.

[snowman2]

I think that sounds like a solid idea

Mind updating this PR with the change?

[snowman2]

Thanks @caldwellst 👍