Backport PR #24973: fix for BUG: grouping with tz-aware: Values falls…

[TomAugspurger]

… after last bin

[codecov]

Codecov Report

Merging #25005 into 0.24.x will decrease coverage by 49.49%.
The diff coverage is 10%.

@@            Coverage Diff             @@
##           0.24.x   #25005      +/-   ##
==========================================
- Coverage   92.38%   42.89%   -49.5%     
==========================================
  Files         166      166              
  Lines       52390    52391       +1     
==========================================
- Hits        48399    22471   -25928     
- Misses       3991    29920   +25929

Flag	Coverage Δ
#multiple	?
#single	42.89% <10%> (-0.01%)	⬇️

Impacted Files	Coverage Δ
pandas/core/resample.py	23.27% <10%> (-73.97%)	⬇️
pandas/io/formats/latex.py	0% <0%> (-100%)	⬇️
pandas/core/categorical.py	0% <0%> (-100%)	⬇️
pandas/io/sas/sas_constants.py	0% <0%> (-100%)	⬇️
pandas/tseries/plotting.py	0% <0%> (-100%)	⬇️
pandas/tseries/converter.py	0% <0%> (-100%)	⬇️
pandas/io/formats/html.py	0% <0%> (-99.35%)	⬇️
pandas/core/groupby/categorical.py	0% <0%> (-95.46%)	⬇️
pandas/io/sas/sas7bdat.py	0% <0%> (-91.17%)	⬇️
pandas/io/sas/sas_xport.py	0% <0%> (-90.15%)	⬇️
... and 124 more

---

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update fd1c66c...1eb603c. Read the comment docs.

[codecov]

Codecov Report

Merging #25005 into 0.24.x will decrease coverage by 49.49%.
The diff coverage is 10%.

@@            Coverage Diff             @@
##           0.24.x   #25005      +/-   ##
==========================================
- Coverage   92.38%   42.89%   -49.5%     
==========================================
  Files         166      166              
  Lines       52390    52391       +1     
==========================================
- Hits        48399    22471   -25928     
- Misses       3991    29920   +25929

Flag	Coverage Δ
#multiple	?
#single	42.89% <10%> (-0.01%)	⬇️

Impacted Files	Coverage Δ
pandas/core/resample.py	23.27% <10%> (-73.97%)	⬇️
pandas/io/formats/latex.py	0% <0%> (-100%)	⬇️
pandas/core/categorical.py	0% <0%> (-100%)	⬇️
pandas/io/sas/sas_constants.py	0% <0%> (-100%)	⬇️
pandas/tseries/plotting.py	0% <0%> (-100%)	⬇️
pandas/tseries/converter.py	0% <0%> (-100%)	⬇️
pandas/io/formats/html.py	0% <0%> (-99.35%)	⬇️
pandas/core/groupby/categorical.py	0% <0%> (-95.46%)	⬇️
pandas/io/sas/sas7bdat.py	0% <0%> (-91.17%)	⬇️
pandas/io/sas/sas_xport.py	0% <0%> (-90.15%)	⬇️
... and 124 more

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update fd1c66c...1eb603c. Read the comment docs.