FEAT-#4605: Handle small and empty dataframes

[naren-ponder]

Signed-off-by: Naren Krishna [email protected]

What do these changes do?

• [x] commit message follows format outlined here
• [ ] passes flake8 modin/ asv_bench/benchmarks scripts/doc_checker.py
• [ ] passes black --check modin/ asv_bench/benchmarks scripts/doc_checker.py
• [ ] signed commit with git commit -s
• [ ] Resolves #4605 ?
• [ ] tests added and passing
• [ ] module layout described at docs/development/architecture.rst is up-to-date
• [ ] added (Issue Number: PR title (PR Number)) and github username to release notes for next major release

[Garra1980]

Great! Looking forward to see these changes in

[lgtm-com[bot]]

This pull request introduces 11 alerts when merging 90ca31181c9c76b0ec27a3fc551356f9df9e4870 into 3982306a540bd09b43a21dcdca6b16b4741ed151 - view on LGTM.com

new alerts:

• 10 for Unused import
• 1 for `__init__` method returns a value

[lgtm-com[bot]]

This pull request introduces 11 alerts when merging fc42bd4d1a1024b6b6b6fa2503385b6a313dcbd4 into eddfda4b521366c628596dcb5c21775c7f50eec1 - view on LGTM.com

new alerts:

• 11 for Unused import

[Garra1980]

@naren-ponder Any plans here?

[codecov[bot]]

Codecov Report

Merging #4606 (e4a2856) into master (f5f4c16) will increase coverage by 16.00%. The diff coverage is 28.90%.

@@             Coverage Diff             @@
##           master    #4606       +/-   ##
===========================================
+ Coverage   71.43%   87.43%   +16.00%     
===========================================
  Files         259      261        +2     
  Lines       19198    19609      +411     
===========================================
+ Hits        13714    17146     +3432     
+ Misses       5484     2463     -3021     

Impacted Files	Coverage Δ
...ore/storage_formats/pandas/small_query_compiler.py	28.00% <28.00%> (ø)
modin/pandas/dataframe.py	91.69% <66.66%> (+0.13%)	:arrow_up:
...in/core/dataframe/algebra/default2pandas/binary.py	36.84% <0.00%> (-57.90%)	:arrow_down:
.../core/dataframe/algebra/default2pandas/resample.py	50.00% <0.00%> (-44.45%)	:arrow_down:
...n/core/dataframe/algebra/default2pandas/rolling.py	56.25% <0.00%> (-37.50%)	:arrow_down:
modin/core/storage_formats/base/query_compiler.py	68.86% <0.00%> (-30.36%)	:arrow_down:
...n/core/dataframe/algebra/default2pandas/groupby.py	71.83% <0.00%> (-24.65%)	:arrow_down:
modin/core/dataframe/algebra/default2pandas/cat.py	83.33% <0.00%> (-16.67%)	:arrow_down:
modin/core/dataframe/algebra/default2pandas/str.py	83.33% <0.00%> (-16.67%)	:arrow_down:
...n/core/dataframe/algebra/default2pandas/default.py	87.93% <0.00%> (-8.63%)	:arrow_down:
... and 76 more

:mega: Codecov can now indicate which changes are the most critical in Pull Requests. Learn more

[pyrito]

@naren-ponder were you planning to add any tests to this PR?

[Garra1980]

Any progress here?

[pyrito]

@Garra1980 yes, @Billy2551 is going to be taking this on. It'll probably be in a new PR, but we will keep this one up for now.

[YarShev]

@naren-ponder, do you have a plan to continue this?