DOC: Adding links to offset classes in timeseries.rst

[datapythonista]

Making the names of the offset classes in the timseries.rst table, links to the class pages.

xref #24446

[codecov]

Codecov Report

Merging #24448 into master will increase coverage by <.01%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master   #24448      +/-   ##
==========================================
+ Coverage    92.3%    92.3%   +<.01%     
==========================================
  Files         163      163              
  Lines       51981    51987       +6     
==========================================
+ Hits        47983    47989       +6     
  Misses       3998     3998

Flag	Coverage Δ
#multiple	90.72% <ø> (ø)	⬆️
#single	43% <ø> (ø)	⬆️

Impacted Files	Coverage Δ
pandas/core/series.py	93.72% <0%> (ø)	⬆️
pandas/core/indexes/base.py	96.28% <0%> (ø)	⬆️
pandas/core/indexes/multi.py	95.58% <0%> (ø)	⬆️
pandas/core/arrays/categorical.py	95.34% <0%> (ø)	⬆️
pandas/core/indexes/datetimelike.py	97.59% <0%> (ø)	⬆️
pandas/core/arrays/base.py	97.6% <0%> (+0.01%)	⬆️
pandas/core/arrays/interval.py	93.04% <0%> (+0.02%)	⬆️

---

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

Codecov Report

Merging #24448 into master will increase coverage by <.01%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master   #24448      +/-   ##
==========================================
+ Coverage    92.3%    92.3%   +<.01%     
==========================================
  Files         163      163              
  Lines       51981    51987       +6     
==========================================
+ Hits        47983    47989       +6     
  Misses       3998     3998

Flag	Coverage Δ
#multiple	90.72% <ø> (ø)	⬆️
#single	43% <ø> (ø)	⬆️

Impacted Files	Coverage Δ
pandas/core/series.py	93.72% <0%> (ø)	⬆️
pandas/core/indexes/base.py	96.28% <0%> (ø)	⬆️
pandas/core/indexes/multi.py	95.58% <0%> (ø)	⬆️
pandas/core/arrays/categorical.py	95.34% <0%> (ø)	⬆️
pandas/core/indexes/datetimelike.py	97.59% <0%> (ø)	⬆️
pandas/core/arrays/base.py	97.6% <0%> (+0.01%)	⬆️
pandas/core/arrays/interval.py	93.04% <0%> (+0.02%)	⬆️

---

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 9fa063e...97c594e. Read the comment docs.

[jreback]

thanks !