BUG - pd.concat with all Series on axis=1 ignores the names argument (Issue: 23490)

[ms7463]

• closes BUG: pd.concat with all Series on axis=1 ignores the names argument. #23490
• tests added / passed
• passes git diff upstream/master -u -- "*.py" | flake8 --diff
• whatsnew entry

Fix issue described in #23490, and add tests to catch this case.

[pep8speaks]

Hello @ArtinSarraf! Thanks for submitting the PR.

• There are no PEP8 issues in the file pandas/core/reshape/concat.py !

• There are no PEP8 issues in the file pandas/tests/reshape/test_concat.py !

[ms7463]

@gfyoung - Is there a way to rerun the Travis CI build? I get the following error in the logs, and it doesn't seem to be explicitly related to any of my changes.

"No output has been received in the last 10m0s, this potentially indicates a stalled build or something wrong with the build itself.
Check the details on how to adjust your build configuration on: https://docs.travis-ci.com/user/common-build-problems/#Build-times-out-because-no-output-was-received
The build has been terminated"

[codecov]

Codecov Report

Merging #23499 into master will increase coverage by 0.02%.
The diff coverage is 100%.

@@            Coverage Diff             @@
##           master   #23499      +/-   ##
==========================================
+ Coverage   92.23%   92.25%   +0.02%     
==========================================
  Files         161      161              
  Lines       51197    51169      -28     
==========================================
- Hits        47220    47207      -13     
+ Misses       3977     3962      -15

Flag	Coverage Δ
#multiple	90.64% <100%> (+0.02%)	⬆️
#single	42.28% <0%> (ø)	⬆️

Impacted Files	Coverage Δ
pandas/core/reshape/concat.py	97.6% <100%> (ø)	⬆️
pandas/core/tools/timedeltas.py	98.18% <0%> (-0.24%)	⬇️
pandas/core/indexes/timedeltas.py	90.71% <0%> (-0.03%)	⬇️
pandas/core/arrays/datetimelike.py	96.09% <0%> (-0.02%)	⬇️
pandas/core/strings.py	98.58% <0%> (ø)	⬆️
pandas/core/indexes/datetimes.py	96.41% <0%> (ø)	⬆️
pandas/core/frame.py	97.03% <0%> (ø)	⬆️
pandas/util/_test_decorators.py	93.24% <0%> (ø)	⬆️
pandas/core/groupby/generic.py	87.04% <0%> (ø)	⬆️
pandas/core/arrays/period.py	98.08% <0%> (ø)	⬆️
... and 2 more

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[jreback]

great. ping on green.

[gfyoung]

Thanks @ArtinSarraf !