REF: shift ravel in infer_dtype

[h-vetinari]

Precursor to #24050 as requested from @jreback in review: https://github.com/pandas-dev/pandas/pull/24050/files#r243769223 / https://github.com/pandas-dev/pandas/pull/24050/files#r243769260

[codecov]

Codecov Report

Merging #24560 into master will decrease coverage by 0.01%.
The diff coverage is 100%.

@@            Coverage Diff             @@
##           master   #24560      +/-   ##
==========================================
- Coverage   92.33%   92.31%   -0.02%     
==========================================
  Files         166      166              
  Lines       52465    52556      +91     
==========================================
+ Hits        48442    48519      +77     
- Misses       4023     4037      +14

Flag	Coverage Δ
#multiple	90.74% <92.59%> (-0.02%)	⬇️
#single	43.05% <62.96%> (+0.05%)	⬆️

Impacted Files	Coverage Δ
pandas/core/arrays/datetimes.py	98.01% <ø> (+0.09%)	⬆️
pandas/core/indexes/multi.py	95.58% <100%> (ø)	⬆️
pandas/core/reshape/tile.py	94.82% <100%> (ø)	⬆️
pandas/core/sorting.py	98.27% <100%> (ø)	⬆️
pandas/core/arrays/integer.py	96.29% <100%> (ø)	⬆️
pandas/core/dtypes/cast.py	88.72% <100%> (ø)	⬆️
pandas/core/dtypes/missing.py	93.18% <100%> (ø)	⬆️
pandas/core/internals/construction.py	96.66% <100%> (ø)	⬆️
pandas/plotting/_converter.py	63.82% <100%> (ø)	⬆️
pandas/core/series.py	93.53% <100%> (-0.11%)	⬇️
... and 30 more

---

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[codecov]

Codecov Report

Merging #24560 into master will not change coverage.
The diff coverage is 96.77%.

@@           Coverage Diff           @@
##           master   #24560   +/-   ##
=======================================
  Coverage   92.33%   92.33%           
=======================================
  Files         166      166           
  Lines       52544    52544           
=======================================
  Hits        48517    48517           
  Misses       4027     4027

Flag	Coverage Δ
#multiple	90.76% <90.32%> (ø)	⬆️
#single	43.05% <64.51%> (-0.01%)	⬇️

Impacted Files	Coverage Δ
pandas/core/arrays/timedeltas.py	88.1% <0%> (ø)	⬆️
pandas/core/indexes/multi.py	95.58% <100%> (ø)	⬆️
pandas/core/reshape/tile.py	94.82% <100%> (ø)	⬆️
pandas/core/arrays/datetimes.py	98.01% <100%> (ø)	⬆️
pandas/core/sorting.py	98.27% <100%> (ø)	⬆️
pandas/core/arrays/integer.py	96.29% <100%> (ø)	⬆️
pandas/core/dtypes/cast.py	88.72% <100%> (ø)	⬆️
pandas/core/dtypes/missing.py	93.18% <100%> (ø)	⬆️
pandas/core/internals/construction.py	96.66% <100%> (ø)	⬆️
pandas/plotting/_converter.py	63.82% <100%> (ø)	⬆️
... and 7 more

---

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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[h-vetinari]

@jreback
This is green, except two azure failures due to #24564

[jreback]

lgtm ping on green.

[jreback]

thanks!