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REFACTOR-#1901: Improve performance of groupby.mean #1902

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REFACTOR-#1901: Improve performance of groupby.mean #1902

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Signed-off-by: Devin Petersohn devin.petersohn@gmail.com

What do these changes do?

  • commit message follows format outlined here
  • passes flake8 modin
  • passes black --check modin
  • signed commit with git commit -s
  • Resolves #?
  • tests added and passing

@devin-petersohn
REFACTOR-modin-project#1901: Improve performance of groupby.mean
a600f42 
Signed-off-by: Devin Petersohn <devin.petersohn@gmail.com>
@devin-petersohn devin-petersohn changed the title REAFACTOR-#1901: Improve performance of groupby.mean REFACTOR-#1901: Improve performance of groupby.mean Aug 7, 2020
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codecov bot commented Aug 7, 2020 •
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Codecov Report

Merging #1902 into master will decrease coverage by 13.88%.
The diff coverage is 100.00%.

Impacted file tree graph

@@             Coverage Diff             @@
##           master    #1902       +/-   ##
===========================================
- Coverage   81.52%   67.63%   -13.89%     
===========================================
  Files          79       79               
  Lines        9178     9179        +1     
===========================================
- Hits         7482     6208     -1274     
- Misses       1696     2971     +1275
Impacted Files Coverage Δ
modin/backends/pandas/query_compiler.py 87.33% <100.00%> (-9.03%) ⬇️
modin/pandas/groupby.py 49.35% <100.00%> (-38.47%) ⬇️
modin/experimental/pandas/io_exp.py 0.00% <0.00%> (-100.00%) ⬇️
modin/experimental/pandas/__init__.py 0.00% <0.00%> (-100.00%) ⬇️
modin/engines/base/io/text/excel_reader.py 9.34% <0.00%> (-84.12%) ⬇️
modin/experimental/pandas/numpy_wrap.py 0.00% <0.00%> (-82.90%) ⬇️
...odin/data_management/functions/groupby_function.py 12.28% <0.00%> (-80.71%) ⬇️
modin/engines/base/io/text/json_reader.py 15.68% <0.00%> (-80.40%) ⬇️
...in/engines/base/io/column_stores/parquet_reader.py 17.14% <0.00%> (-80.00%) ⬇️
modin/engines/base/io/text/fwf_reader.py 6.89% <0.00%> (-79.32%) ⬇️
... and 28 more

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TeamCity Python test results bot

Tests FAILed

Tests Logs 
280, in <listcomp>
    for part in partitions
  File "/modin/modin/engines/base/frame/axis_partition.py", line 156, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 202, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/data_management/functions/groupby_function.py", line 134, in _reduce
    return compute_reduce(df)
  File "/modin/modin/data_management/functions/groupby_function.py", line 112, in compute_reduce
    df.groupby(by=by_part, axis=axis, **groupby_args), **reduce_args
  File "/modin/modin/backends/pandas/query_compiler.py", line 2037, in <lambda>
    lambda x: x.loc[:, "sum"].sum() / x.loc[:, "count"].sum()
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 736, in apply
    result = self._python_apply_general(f)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 755, in _python_apply_general
    keys, values, not_indexed_same=mutated or self.mutated
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1338, in _wrap_applied_output
    return self._reindex_output(result)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 2511, in _reindex_output
    output = output.drop(labels=list(g_names), axis=1)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3997, in drop
    errors=errors,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3936, in drop
    obj = obj._drop_axis(labels, axis, level=level, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3970, in _drop_axis
    new_axis = axis.drop(labels, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 5018, in drop
    raise KeyError(f"{labels[mask]} not found in axis")
KeyError: "[('col1', '') ('col5', '')] not found in axis"
__________________ test_simple_row_groupby[False-False-by11] ___________________
[gw0] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by14] ___________________
[gw37] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by12] ___________________
[gw6] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________________ test_agg_exceptions[mean] ___________________________
[gw2] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/utils.py", line 607, in execute_callable
    pd_result = fn(pandas_df, **pd_kwargs)
  File "/modin/modin/pandas/test/test_groupby.py", line 66, in <lambda>
    operation, *args, **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 928, in aggregate
    result, how = self._aggregate(func, *args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 311, in _aggregate
    return self._try_aggregate_string_function(arg, *args, **kwargs), None
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 267, in _try_aggregate_string_function
    return f(*args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 1226, in mean
    "mean", alt=lambda x, axis: Series(x).mean(**kwargs), **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 994, in _cython_agg_general
    how, alt=alt, numeric_only=numeric_only, min_count=min_count
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1095, in _cython_agg_blocks
    raise DataError("No numeric types to aggregate")
pandas.core.base.DataError: No numeric types to aggregate

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 1136, in test_agg_exceptions
    eval_aggregation(*create_test_dfs(data), operation=operation)
  File "/modin/modin/pandas/test/test_groupby.py", line 69, in eval_aggregation
    **kwargs,
  File "/modin/modin/pandas/test/utils.py", line 635, in eval_general
    operation, md_kwargs=md_kwargs, pd_kwargs=pd_kwargs, inplace=__inplace__
  File "/modin/modin/pandas/test/utils.py", line 613, in execute_callable
    repr(fn(modin_df, **md_kwargs))
  File "/opt/conda/lib/python3.7/site-packages/_pytest/python_api.py", line 744, in __exit__
    fail(self.message)
  File "/opt/conda/lib/python3.7/site-packages/_pytest/outcomes.py", line 156, in fail
    raise Failed(msg=msg, pytrace=pytrace)
Failed: DID NOT RAISE <class 'Exception'>

----------- coverage: platform linux, python 3.7.7-final-0 -----------
Coverage XML written to file coverage.xml

=========================== short test summary info ============================
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_agg_exceptions[mean] - Failed:...
= 9 failed, 22189 passed, 3811 skipped, 598 xfailed, 1061 xpassed, 43179 warnings in 865.41s (0:14:25) =
============================= test session starts ==============================
platform linux -- Python 3.7.7, pytest-6.0.1, py-1.9.0, pluggy-0.13.1
rootdir: /modin, configfile: setup.cfg
plugins: openfiles-0.5.0, remotedata-0.3.2, cov-2.10.0, forked-1.3.0, xdist-1.34.0
collected 94 items

modin/pandas/test/test_io.py .................sX..........s............. [ 45%]
....s..............s..s.X.....s.................ss.                      [100%]

----------- coverage: platform linux, python 3.7.7-final-0 -----------
Coverage XML written to file coverage.xml


=========== 84 passed, 8 skipped, 2 xpassed, 146 warnings in 43.54s ============
Closing remaining open files:test_write_pandas.hdf...donetest_write_modin.hdf...done
============================= test session starts ==============================
platform linux -- Python 3.7.7, pytest-6.0.1, py-1.9.0, pluggy-0.13.1
rootdir: /modin, configfile: setup.cfg
plugins: openfiles-0.5.0, remotedata-0.3.2, cov-2.10.0, forked-1.3.0, xdist-1.34.0
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.Xs.ssss.sss..sxsssss.ssss.x.s.s.sssssss.sxss.ssssss.ssss..ssss.ssssXss.s [ 16%]
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=================================== FAILURES ===================================
___________________ test_simple_row_groupby[True-False-by13] ___________________
[gw33] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
___________________ test_simple_row_groupby[True-False-by12] ___________________
[gw25] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
___________________ test_simple_row_groupby[True-False-by14] ___________________
[gw11] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/groupby.py", line 188, in mean
    **kwargs,
  File "/modin/modin/pandas/groupby.py", line 634, in _wrap_aggregation
    drop=self._drop,
  File "/modin/modin/data_management/functions/groupby_function.py", line 142, in caller
    axis, by._modin_frame, _map, _reduce
  File "/modin/modin/engines/base/frame/data.py", line 1700, in groupby_reduce
    axis, self._partitions, by._partitions, map_func, reduce_func
  File "/modin/modin/engines/base/frame/partition_manager.py", line 97, in groupby_reduce
    return cls.map_axis_partitions(axis, new_partitions, reduce_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 280, in map_axis_partitions
    for part in partitions
  File "/modin/modin/engines/base/frame/partition_manager.py", line 280, in <listcomp>
    for part in partitions
  File "/modin/modin/engines/base/frame/axis_partition.py", line 156, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 202, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/data_management/functions/groupby_function.py", line 134, in _reduce
    return compute_reduce(df)
  File "/modin/modin/data_management/functions/groupby_function.py", line 112, in compute_reduce
    df.groupby(by=by_part, axis=axis, **groupby_args), **reduce_args
  File "/modin/modin/backends/pandas/query_compiler.py", line 2037, in <lambda>
    lambda x: x.loc[:, "sum"].sum() / x.loc[:, "count"].sum()
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 736, in apply
    result = self._python_apply_general(f)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 755, in _python_apply_general
    keys, values, not_indexed_same=mutated or self.mutated
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1338, in _wrap_applied_output
    return self._reindex_output(result)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 2511, in _reindex_output
    output = output.drop(labels=list(g_names), axis=1)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3997, in drop
    errors=errors,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3936, in drop
    obj = obj._drop_axis(labels, axis, level=level, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3970, in _drop_axis
    new_axis = axis.drop(labels, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 5018, in drop
    raise KeyError(f"{labels[mask]} not found in axis")
KeyError: "[('col5', '') ('col4', '') ('col1', '')] not found in axis"
__________________ test_simple_row_groupby[False-False-by13] ___________________
[gw11] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
___________________ test_simple_row_groupby[True-False-by11] ___________________
[gw1] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/groupby.py", line 188, in mean
    **kwargs,
  File "/modin/modin/pandas/groupby.py", line 634, in _wrap_aggregation
    drop=self._drop,
  File "/modin/modin/data_management/functions/groupby_function.py", line 142, in caller
    axis, by._modin_frame, _map, _reduce
  File "/modin/modin/engines/base/frame/data.py", line 1700, in groupby_reduce
    axis, self._partitions, by._partitions, map_func, reduce_func
  File "/modin/modin/engines/base/frame/partition_manager.py", line 97, in groupby_reduce
    return cls.map_axis_partitions(axis, new_partitions, reduce_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 280, in map_axis_partitions
    for part in partitions
  File "/modin/modin/engines/base/frame/partition_manager.py", line 280, in <listcomp>
    for part in partitions
  File "/modin/modin/engines/base/frame/axis_partition.py", line 156, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 202, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/data_management/functions/groupby_function.py", line 134, in _reduce
    return compute_reduce(df)
  File "/modin/modin/data_management/functions/groupby_function.py", line 112, in compute_reduce
    df.groupby(by=by_part, axis=axis, **groupby_args), **reduce_args
  File "/modin/modin/backends/pandas/query_compiler.py", line 2037, in <lambda>
    lambda x: x.loc[:, "sum"].sum() / x.loc[:, "count"].sum()
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 736, in apply
    result = self._python_apply_general(f)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 755, in _python_apply_general
    keys, values, not_indexed_same=mutated or self.mutated
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1338, in _wrap_applied_output
    return self._reindex_output(result)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 2511, in _reindex_output
    output = output.drop(labels=list(g_names), axis=1)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3997, in drop
    errors=errors,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3936, in drop
    obj = obj._drop_axis(labels, axis, level=level, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3970, in _drop_axis
    new_axis = axis.drop(labels, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 5018, in drop
    raise KeyError(f"{labels[mask]} not found in axis")
KeyError: "[('col1', '') ('col5', '')] not found in axis"
__________________ test_simple_row_groupby[False-False-by11] ___________________
[gw0] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by14] ___________________
[gw37] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by12] ___________________
[gw6] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________________ test_agg_exceptions[mean] ___________________________
[gw2] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/utils.py", line 607, in execute_callable
    pd_result = fn(pandas_df, **pd_kwargs)
  File "/modin/modin/pandas/test/test_groupby.py", line 66, in <lambda>
    operation, *args, **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 928, in aggregate
    result, how = self._aggregate(func, *args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 311, in _aggregate
    return self._try_aggregate_string_function(arg, *args, **kwargs), None
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 267, in _try_aggregate_string_function
    return f(*args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 1226, in mean
    "mean", alt=lambda x, axis: Series(x).mean(**kwargs), **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 994, in _cython_agg_general
    how, alt=alt, numeric_only=numeric_only, min_count=min_count
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1095, in _cython_agg_blocks
    raise DataError("No numeric types to aggregate")
pandas.core.base.DataError: No numeric types to aggregate

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 1136, in test_agg_exceptions
    eval_aggregation(*create_test_dfs(data), operation=operation)
  File "/modin/modin/pandas/test/test_groupby.py", line 69, in eval_aggregation
    **kwargs,
  File "/modin/modin/pandas/test/utils.py", line 635, in eval_general
    operation, md_kwargs=md_kwargs, pd_kwargs=pd_kwargs, inplace=__inplace__
  File "/modin/modin/pandas/test/utils.py", line 613, in execute_callable
    repr(fn(modin_df, **md_kwargs))
  File "/opt/conda/lib/python3.7/site-packages/_pytest/python_api.py", line 744, in __exit__
    fail(self.message)
  File "/opt/conda/lib/python3.7/site-packages/_pytest/outcomes.py", line 156, in fail
    raise Failed(msg=msg, pytrace=pytrace)
Failed: DID NOT RAISE <class 'Exception'>

----------- coverage: platform linux, python 3.7.7-final-0 -----------
Coverage XML written to file coverage.xml

=========================== short test summary info ============================
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_agg_exceptions[mean] - Failed:...
= 9 failed, 22189 passed, 3811 skipped, 598 xfailed, 1061 xpassed, 43179 warnings in 865.41s (0:14:25) =


<b>Remaining output truncated<b>

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Tests FAILed

Tests Logs 
__________
[gw39] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by14] ___________________
[gw12] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by12] ___________________
[gw16] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________________ test_agg_exceptions[mean] ___________________________
[gw28] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/utils.py", line 607, in execute_callable
    pd_result = fn(pandas_df, **pd_kwargs)
  File "/modin/modin/pandas/test/test_groupby.py", line 66, in <lambda>
    operation, *args, **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 928, in aggregate
    result, how = self._aggregate(func, *args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 311, in _aggregate
    return self._try_aggregate_string_function(arg, *args, **kwargs), None
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 267, in _try_aggregate_string_function
    return f(*args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 1226, in mean
    "mean", alt=lambda x, axis: Series(x).mean(**kwargs), **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 994, in _cython_agg_general
    how, alt=alt, numeric_only=numeric_only, min_count=min_count
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1095, in _cython_agg_blocks
    raise DataError("No numeric types to aggregate")
pandas.core.base.DataError: No numeric types to aggregate

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 1136, in test_agg_exceptions
    eval_aggregation(*create_test_dfs(data), operation=operation)
  File "/modin/modin/pandas/test/test_groupby.py", line 69, in eval_aggregation
    **kwargs,
  File "/modin/modin/pandas/test/utils.py", line 635, in eval_general
    operation, md_kwargs=md_kwargs, pd_kwargs=pd_kwargs, inplace=__inplace__
  File "/modin/modin/pandas/test/utils.py", line 613, in execute_callable
    repr(fn(modin_df, **md_kwargs))
  File "/opt/conda/lib/python3.7/site-packages/_pytest/python_api.py", line 744, in __exit__
    fail(self.message)
  File "/opt/conda/lib/python3.7/site-packages/_pytest/outcomes.py", line 156, in fail
    raise Failed(msg=msg, pytrace=pytrace)
Failed: DID NOT RAISE <class 'Exception'>

----------- coverage: platform linux, python 3.7.7-final-0 -----------
Coverage XML written to file coverage.xml

=========================== short test summary info ============================
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_agg_exceptions[mean] - Failed:...
= 9 failed, 22189 passed, 3811 skipped, 598 xfailed, 1061 xpassed, 42694 warnings in 1352.92s (0:22:32) =
============================= test session starts ==============================
platform linux -- Python 3.7.7, pytest-6.0.1, py-1.9.0, pluggy-0.13.1
rootdir: /modin, configfile: setup.cfg
plugins: openfiles-0.5.0, remotedata-0.3.2, cov-2.10.0, forked-1.3.0, xdist-1.34.0
collected 94 items

modin/pandas/test/test_io.py .................sx..........s............. [ 45%]
...................s..s.X.....s.................ss.                      [100%]

----------- coverage: platform linux, python 3.7.7-final-0 -----------
Coverage XML written to file coverage.xml


= 85 passed, 7 skipped, 1 xfailed, 1 xpassed, 114 warnings in 65.10s (0:01:05) =
Closing remaining open files:test_write_pandas.hdf...donetest_write_modin.hdf...done
============================= test session starts ==============================
platform linux -- Python 3.7.7, pytest-6.0.1, py-1.9.0, pluggy-0.13.1
rootdir: /modin, configfile: setup.cfg
plugins: openfiles-0.5.0, remotedata-0.3.2, cov-2.10.0, forked-1.3.0, xdist-1.34.0
gw0 I / gw1 I / gw2 I / gw3 I / gw4 I / gw5 I / gw6 I / gw7 I / gw8 I / gw9 I / gw10 I / gw11 I / gw12 I / gw13 I / gw14 I / gw15 I / gw16 I / gw17 I / gw18 I / gw19 I / gw20 I / gw21 I / gw22 I / gw23 I / gw24 I / gw25 I / gw26 I / gw27 I / gw28 I / gw29 I / gw30 I / gw31 I / gw32 I / gw33 I / gw34 I / gw35 I / gw36 I / gw37 I / gw38 I / gw39 I / gw40 I / gw41 I / gw42 I / gw43 I / gw44 I / gw45 I / gw46 I / gw47 I
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=================================== FAILURES ===================================
___________________ test_simple_row_groupby[True-False-by12] ___________________
[gw33] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
___________________ test_simple_row_groupby[True-False-by11] ___________________
[gw18] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/groupby.py", line 188, in mean
    **kwargs,
  File "/modin/modin/pandas/groupby.py", line 634, in _wrap_aggregation
    drop=self._drop,
  File "/modin/modin/data_management/functions/groupby_function.py", line 142, in caller
    axis, by._modin_frame, _map, _reduce
  File "/modin/modin/engines/base/frame/data.py", line 1704, in groupby_reduce
    1, new_partitions, lambda df: df.columns
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition_manager.py", line 97, in get_indices
    new_idx = client.gather(new_idx)
  File "/opt/conda/lib/python3.7/site-packages/distributed/client.py", line 1982, in gather
    asynchronous=asynchronous,
  File "/opt/conda/lib/python3.7/site-packages/distributed/client.py", line 832, in sync
    self.loop, func, *args, callback_timeout=callback_timeout, **kwargs
  File "/opt/conda/lib/python3.7/site-packages/distributed/utils.py", line 339, in sync
    raise exc.with_traceback(tb)
  File "/opt/conda/lib/python3.7/site-packages/distributed/utils.py", line 323, in f
    result[0] = yield future
  File "/opt/conda/lib/python3.7/site-packages/tornado/gen.py", line 735, in run
    value = future.result()
  File "/opt/conda/lib/python3.7/site-packages/distributed/client.py", line 1841, in _gather
    raise exception.with_traceback(traceback)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 202, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/data_management/functions/groupby_function.py", line 134, in _reduce
    return compute_reduce(df)
  File "/modin/modin/data_management/functions/groupby_function.py", line 112, in compute_reduce
    df.groupby(by=by_part, axis=axis, **groupby_args), **reduce_args
  File "/modin/modin/backends/pandas/query_compiler.py", line 2037, in <lambda>
    lambda x: x.loc[:, "sum"].sum() / x.loc[:, "count"].sum()
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 736, in apply
    result = self._python_apply_general(f)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 755, in _python_apply_general
    keys, values, not_indexed_same=mutated or self.mutated
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1338, in _wrap_applied_output
    return self._reindex_output(result)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 2511, in _reindex_output
    output = output.drop(labels=list(g_names), axis=1)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3997, in drop
    errors=errors,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3936, in drop
    obj = obj._drop_axis(labels, axis, level=level, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3970, in _drop_axis
    new_axis = axis.drop(labels, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 5018, in drop
    raise KeyError(f"{labels[mask]} not found in axis")
KeyError: "[('col1', '') ('col5', '')] not found in axis"
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING -  Compute Failed
Function:  deploy_axis_func
args:      (0, <function GroupbyReduceFunction.call.<locals>.caller.<locals>._reduce at 0x7fc6105778c0>, 4, {}, True,            sum count   sum count  sum count
          col2  col2  col3  col3 col4  col4
col1 col5                                  
0    -4    4.0     1   0.0     0   17     1
1    -5    5.0     1   0.0     0   13     1
2    -6    0.0     0  12.0     1   16     1
3    -7    7.0     1  10.0     1   15     1)
kwargs:    {}
Exception: KeyError("[('col1', '') ('col5', '')] not found in axis")

___________________ test_simple_row_groupby[True-False-by14] ___________________
[gw33] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/groupby.py", line 188, in mean
    **kwargs,
  File "/modin/modin/pandas/groupby.py", line 634, in _wrap_aggregation
    drop=self._drop,
  File "/modin/modin/data_management/functions/groupby_function.py", line 142, in caller
    axis, by._modin_frame, _map, _reduce
  File "/modin/modin/engines/base/frame/data.py", line 1704, in groupby_reduce
    1, new_partitions, lambda df: df.columns
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition_manager.py", line 97, in get_indices
    new_idx = client.gather(new_idx)
  File "/opt/conda/lib/python3.7/site-packages/distributed/client.py", line 1982, in gather
    asynchronous=asynchronous,
  File "/opt/conda/lib/python3.7/site-packages/distributed/client.py", line 832, in sync
    self.loop, func, *args, callback_timeout=callback_timeout, **kwargs
  File "/opt/conda/lib/python3.7/site-packages/distributed/utils.py", line 339, in sync
    raise exc.with_traceback(tb)
  File "/opt/conda/lib/python3.7/site-packages/distributed/utils.py", line 323, in f
    result[0] = yield future
  File "/opt/conda/lib/python3.7/site-packages/tornado/gen.py", line 735, in run
    value = future.result()
  File "/opt/conda/lib/python3.7/site-packages/distributed/client.py", line 1841, in _gather
    raise exception.with_traceback(traceback)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 202, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/data_management/functions/groupby_function.py", line 134, in _reduce
    return compute_reduce(df)
  File "/modin/modin/data_management/functions/groupby_function.py", line 112, in compute_reduce
    df.groupby(by=by_part, axis=axis, **groupby_args), **reduce_args
  File "/modin/modin/backends/pandas/query_compiler.py", line 2037, in <lambda>
    lambda x: x.loc[:, "sum"].sum() / x.loc[:, "count"].sum()
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 736, in apply
    result = self._python_apply_general(f)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 755, in _python_apply_general
    keys, values, not_indexed_same=mutated or self.mutated
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1338, in _wrap_applied_output
    return self._reindex_output(result)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 2511, in _reindex_output
    output = output.drop(labels=list(g_names), axis=1)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3997, in drop
    errors=errors,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3936, in drop
    obj = obj._drop_axis(labels, axis, level=level, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3970, in _drop_axis
    new_axis = axis.drop(labels, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 5018, in drop
    raise KeyError(f"{labels[mask]} not found in axis")
KeyError: "[('col5', '') ('col4', '') ('col1', '')] not found in axis"
----------------------------- Captured stderr call -----------------------------
RuntimeWarning: overflow encountered in reduce
distributed.worker - WARNING -  Compute Failed
Function:  deploy_axis_func
args:      (0, <function GroupbyReduceFunction.call.<locals>.caller.<locals>._reduce at 0x7f8990739cb0>, 4, {}, True,                 sum count   sum count
               col2  col2  col3  col3
col5 col4 col1                       
-7   15   3     7.0     1  10.0     1
-6   16   2     0.0     0  12.0     1
-5   13   1     5.0     1   0.0     0
-4   17   0     4.0     1   0.0     0)
kwargs:    {}
Exception: KeyError("[('col5', '') ('col4', '') ('col1', '')] not found in axis")

__________________ test_simple_row_groupby[False-False-by13] ___________________
[gw24] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
___________________ test_simple_row_groupby[True-False-by13] ___________________
[gw15] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by11] ___________________
[gw39] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by14] ___________________
[gw12] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by12] ___________________
[gw16] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________________ test_agg_exceptions[mean] ___________________________
[gw28] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/utils.py", line 607, in execute_callable
    pd_result = fn(pandas_df, **pd_kwargs)
  File "/modin/modin/pandas/test/test_groupby.py", line 66, in <lambda>
    operation, *args, **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 928, in aggregate
    result, how = self._aggregate(func, *args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 311, in _aggregate
    return self._try_aggregate_string_function(arg, *args, **kwargs), None
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 267, in _try_aggregate_string_function
    return f(*args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 1226, in mean
    "mean", alt=lambda x, axis: Series(x).mean(**kwargs), **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 994, in _cython_agg_general
    how, alt=alt, numeric_only=numeric_only, min_count=min_count
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1095, in _cython_agg_blocks
    raise DataError("No numeric types to aggregate")
pandas.core.base.DataError: No numeric types to aggregate

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 1136, in test_agg_exceptions
    eval_aggregation(*create_test_dfs(data), operation=operation)
  File "/modin/modin/pandas/test/test_groupby.py", line 69, in eval_aggregation
    **kwargs,
  File "/modin/modin/pandas/test/utils.py", line 635, in eval_general
    operation, md_kwargs=md_kwargs, pd_kwargs=pd_kwargs, inplace=__inplace__
  File "/modin/modin/pandas/test/utils.py", line 613, in execute_callable
    repr(fn(modin_df, **md_kwargs))
  File "/opt/conda/lib/python3.7/site-packages/_pytest/python_api.py", line 744, in __exit__
    fail(self.message)
  File "/opt/conda/lib/python3.7/site-packages/_pytest/outcomes.py", line 156, in fail
    raise Failed(msg=msg, pytrace=pytrace)
Failed: DID NOT RAISE <class 'Exception'>

----------- coverage: platform linux, python 3.7.7-final-0 -----------
Coverage XML written to file coverage.xml

=========================== short test summary info ============================
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_agg_exceptions[mean] - Failed:...
= 9 failed, 22189 passed, 3811 skipped, 598 xfailed, 1061 xpassed, 42694 warnings in 1352.92s (0:22:32) =


<b>Remaining output truncated<b>

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Tests FAILed

Tests Logs 
mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/groupby.py", line 188, in mean
    **kwargs,
  File "/modin/modin/pandas/groupby.py", line 634, in _wrap_aggregation
    drop=self._drop,
  File "/modin/modin/data_management/functions/groupby_function.py", line 142, in caller
    axis, by._modin_frame, _map, _reduce
  File "/modin/modin/engines/base/frame/data.py", line 1704, in groupby_reduce
    1, new_partitions, lambda df: df.columns
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition_manager.py", line 94, in get_indices
    new_idx = ray.get(new_idx)
  File "/opt/conda/lib/python3.7/site-packages/ray/worker.py", line 1474, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(KeyError): �[36mray::modin.engines.ray.pandas_on_ray.frame.partition.deploy_ray_func()�[39m (pid=8703, ip=172.17.0.3)
  File "python/ray/_raylet.pyx", line 410, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 432, in ray._raylet.execute_task
ray.exceptions.RayTaskError: �[36mray::modin.engines.ray.pandas_on_ray.frame.axis_partition.deploy_ray_func()�[39m (pid=8703, ip=172.17.0.3)
  File "python/ray/_raylet.pyx", line 446, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/axis_partition.py", line 103, in deploy_ray_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 202, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/data_management/functions/groupby_function.py", line 134, in _reduce
    return compute_reduce(df)
  File "/modin/modin/data_management/functions/groupby_function.py", line 112, in compute_reduce
    df.groupby(by=by_part, axis=axis, **groupby_args), **reduce_args
  File "/modin/modin/backends/pandas/query_compiler.py", line 2037, in <lambda>
    lambda x: x.loc[:, "sum"].sum() / x.loc[:, "count"].sum()
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 736, in apply
    result = self._python_apply_general(f)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 755, in _python_apply_general
    keys, values, not_indexed_same=mutated or self.mutated
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1338, in _wrap_applied_output
    return self._reindex_output(result)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 2511, in _reindex_output
    output = output.drop(labels=list(g_names), axis=1)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3997, in drop
    errors=errors,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3936, in drop
    obj = obj._drop_axis(labels, axis, level=level, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3970, in _drop_axis
    new_axis = axis.drop(labels, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 5018, in drop
    raise KeyError(f"{labels[mask]} not found in axis")
KeyError: "[('col5', '') ('col4', '') ('col1', '')] not found in axis"
__________________ test_simple_row_groupby[False-False-by11] ___________________
[gw3] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by14] ___________________
[gw5] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________________ test_agg_exceptions[mean] ___________________________
[gw7] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/utils.py", line 607, in execute_callable
    pd_result = fn(pandas_df, **pd_kwargs)
  File "/modin/modin/pandas/test/test_groupby.py", line 66, in <lambda>
    operation, *args, **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 928, in aggregate
    result, how = self._aggregate(func, *args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 311, in _aggregate
    return self._try_aggregate_string_function(arg, *args, **kwargs), None
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 267, in _try_aggregate_string_function
    return f(*args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 1226, in mean
    "mean", alt=lambda x, axis: Series(x).mean(**kwargs), **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 994, in _cython_agg_general
    how, alt=alt, numeric_only=numeric_only, min_count=min_count
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1095, in _cython_agg_blocks
    raise DataError("No numeric types to aggregate")
pandas.core.base.DataError: No numeric types to aggregate

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 1136, in test_agg_exceptions
    eval_aggregation(*create_test_dfs(data), operation=operation)
  File "/modin/modin/pandas/test/test_groupby.py", line 69, in eval_aggregation
    **kwargs,
  File "/modin/modin/pandas/test/utils.py", line 635, in eval_general
    operation, md_kwargs=md_kwargs, pd_kwargs=pd_kwargs, inplace=__inplace__
  File "/modin/modin/pandas/test/utils.py", line 613, in execute_callable
    repr(fn(modin_df, **md_kwargs))
  File "/opt/conda/lib/python3.7/site-packages/_pytest/python_api.py", line 744, in __exit__
    fail(self.message)
  File "/opt/conda/lib/python3.7/site-packages/_pytest/outcomes.py", line 156, in fail
    raise Failed(msg=msg, pytrace=pytrace)
Failed: DID NOT RAISE <class 'Exception'>

----------- coverage: platform linux, python 3.7.7-final-0 -----------
Coverage XML written to file coverage.xml

=========================== short test summary info ============================
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_agg_exceptions[mean] - Failed:...
= 9 failed, 22189 passed, 3811 skipped, 598 xfailed, 1061 xpassed, 42568 warnings in 1449.23s (0:24:09) =
============================= test session starts ==============================
platform linux -- Python 3.7.7, pytest-6.0.1, py-1.9.0, pluggy-0.13.1
rootdir: /modin, configfile: setup.cfg
plugins: openfiles-0.5.0, remotedata-0.3.2, cov-2.10.0, forked-1.3.0, xdist-1.34.0
collected 94 items

modin/pandas/test/test_io.py .................sx..........s............. [ 45%]
...................s..s.X.....s.................ss.                      [100%]

----------- coverage: platform linux, python 3.7.7-final-0 -----------
Coverage XML written to file coverage.xml


= 85 passed, 7 skipped, 1 xfailed, 1 xpassed, 102 warnings in 69.33s (0:01:09) =
Closing remaining open files:test_write_modin.hdf...donetest_write_pandas.hdf...done
============================= test session starts ==============================
platform linux -- Python 3.7.7, pytest-6.0.1, py-1.9.0, pluggy-0.13.1
rootdir: /modin, configfile: setup.cfg
plugins: openfiles-0.5.0, remotedata-0.3.2, cov-2.10.0, forked-1.3.0, xdist-1.34.0
gw0 I / gw1 I / gw2 I / gw3 I / gw4 I / gw5 I / gw6 I / gw7 I / gw8 I / gw9 I / gw10 I / gw11 I / gw12 I / gw13 I / gw14 I / gw15 I / gw16 I / gw17 I / gw18 I / gw19 I / gw20 I / gw21 I / gw22 I / gw23 I / gw24 I / gw25 I / gw26 I / gw27 I / gw28 I / gw29 I / gw30 I / gw31 I / gw32 I / gw33 I / gw34 I / gw35 I / gw36 I / gw37 I / gw38 I / gw39 I / gw40 I / gw41 I / gw42 I / gw43 I / gw44 I / gw45 I / gw46 I / gw47 I
gw0 [27668] / gw1 [27668] / gw2 [27668] / gw3 [27668] / gw4 [27668] / gw5 [27668] / gw6 [27668] / gw7 [27668] / gw8 [27668] / gw9 [27668] / gw10 [27668] / gw11 [27668] / gw12 [27668] / gw13 [27668] / gw14 [27668] / gw15 [27668] / gw16 [27668] / gw17 [27668] / gw18 [27668] / gw19 [27668] / gw20 [27668] / gw21 [27668] / gw22 [27668] / gw23 [27668] / gw24 [27668] / gw25 [27668] / gw26 [27668] / gw27 [27668] / gw28 [27668] / gw29 [27668] / gw30 [27668] / gw31 [27668] / gw32 [27668] / gw33 [27668] / gw34 [27668] / gw35 [27668] / gw36 [27668] / gw37 [27668] / gw38 [27668] / gw39 [27668] / gw40 [27668] / gw41 [27668] / gw42 [27668] / gw43 [27668] / gw44 [27668] / gw45 [27668] / gw46 [27668] / gw47 [27668]

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sss.ssX.sssss.ss.ssssssss.sss..ssX..ssssssss.sssss...ssss.......ssssssss [ 57%]
ssss..sssssssss..ss.ss.ssssssssssssss.ssss.ssssssss..sss.ssssssssssss.s. [ 58%]
.ssssssssssss..ssss.ssssssss.s.s.s..sssssss.ssssss.ssss.sssss.ss.ssssssss [ 58%]
.s.ssssss..s.ss.ss.sssssss.ss.sss.sssssssssssssssssss.ssssssss..sssss..s [ 58%]
ss.sss......ssssssssss.ssssss..sssssssss.sss.ss.ssssssssssss.ssss..s.sss [ 58%]
s.ssssssss..sssssssssss..sss..ssssss..ss..ssss.sssssss.sssssssss.sssssss. [ 59%]
sssssss...sss.sss.ssssssssssss.sss..ssss.....ssssssssssssss.sssssssss..s. [ 59%]
ssssssssssssssssssss....ssssss.ssss...sssssssss.sssssss.sss.....sssss.sss [ 59%]
ssss..ssssssssssss.sssss.sssssss.sssssss.sss..sssssssssssssss.....ss.sss [ 59%]
sssss..ss...ssss..s.sssssssss.sssssssss.ssssss.sssssssss.ssssssss.ssssss [ 60%]
sssss.sssss.s.sss.ssssssssssss.......ss.ssss.sssss..sssssssss.sssssss.ss [ 60%]
ss.sssssssssss.sss..sssss..ssssssssssssssss.ss.sssssss.ssss..sssssssss... [ 60%]
.....s.sssssssss..sssssss.ssssssssssssssss..sssssssssssssssss.ss.sssssss [ 60%]
.sss.ss..sssss.sssssssssssssss..sss.s......ssss.ss.ss..ssssssssssss.ssss [ 61%]
.ss.sssssssssss.ssssss.s...ssssssssssssss.ssssssss.sssssss..ss.ssss.ssss [ 61%]
sss..ss.sss.sssss.sss..s.ssss.sss..sssss..ssssss.ssss.ssssssssssssssssss [ 61%]
ssssssssssssssssssssssssssss..sssssssss.sssssssss.s.s.sssssss..sss.s..s. [ 62%]
.sss.ssssssssss..ss..sssssssssssssssss...sssss..ssssss.s.ss.sss.s..sss... [ 62%]
sss.ssss.ssssssssss.s..sssss..s.ssss.ssssssss...sss.ssss...sssssss.sssss [ 62%]
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s..s.s................................................................s.s [ 65%]
ssss..ss.sssss.ssssss.s.s.ss.ss.ss..s...sssss...sss..sss.sssss.s.ss...ss [ 65%]
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=================================== FAILURES ===================================
___________________ test_simple_row_groupby[True-False-by11] ___________________
[gw7] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/groupby.py", line 188, in mean
    **kwargs,
  File "/modin/modin/pandas/groupby.py", line 634, in _wrap_aggregation
    drop=self._drop,
  File "/modin/modin/data_management/functions/groupby_function.py", line 142, in caller
    axis, by._modin_frame, _map, _reduce
  File "/modin/modin/engines/base/frame/data.py", line 1704, in groupby_reduce
    1, new_partitions, lambda df: df.columns
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition_manager.py", line 94, in get_indices
    new_idx = ray.get(new_idx)
  File "/opt/conda/lib/python3.7/site-packages/ray/worker.py", line 1474, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(KeyError): �[36mray::modin.engines.ray.pandas_on_ray.frame.partition.deploy_ray_func()�[39m (pid=7354, ip=172.17.0.3)
  File "python/ray/_raylet.pyx", line 410, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 432, in ray._raylet.execute_task
ray.exceptions.RayTaskError: �[36mray::modin.engines.ray.pandas_on_ray.frame.axis_partition.deploy_ray_func()�[39m (pid=7354, ip=172.17.0.3)
  File "python/ray/_raylet.pyx", line 446, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/axis_partition.py", line 103, in deploy_ray_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 202, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/data_management/functions/groupby_function.py", line 134, in _reduce
    return compute_reduce(df)
  File "/modin/modin/data_management/functions/groupby_function.py", line 112, in compute_reduce
    df.groupby(by=by_part, axis=axis, **groupby_args), **reduce_args
  File "/modin/modin/backends/pandas/query_compiler.py", line 2037, in <lambda>
    lambda x: x.loc[:, "sum"].sum() / x.loc[:, "count"].sum()
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 736, in apply
    result = self._python_apply_general(f)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 755, in _python_apply_general
    keys, values, not_indexed_same=mutated or self.mutated
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1338, in _wrap_applied_output
    return self._reindex_output(result)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 2511, in _reindex_output
    output = output.drop(labels=list(g_names), axis=1)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3997, in drop
    errors=errors,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3936, in drop
    obj = obj._drop_axis(labels, axis, level=level, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3970, in _drop_axis
    new_axis = axis.drop(labels, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 5018, in drop
    raise KeyError(f"{labels[mask]} not found in axis")
KeyError: "[('col1', '') ('col5', '')] not found in axis"
___________________ test_simple_row_groupby[True-False-by12] ___________________
[gw31] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by13] ___________________
[gw16] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by12] ___________________
[gw36] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
___________________ test_simple_row_groupby[True-False-by13] ___________________
[gw27] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
___________________ test_simple_row_groupby[True-False-by14] ___________________
[gw0] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/groupby.py", line 188, in mean
    **kwargs,
  File "/modin/modin/pandas/groupby.py", line 634, in _wrap_aggregation
    drop=self._drop,
  File "/modin/modin/data_management/functions/groupby_function.py", line 142, in caller
    axis, by._modin_frame, _map, _reduce
  File "/modin/modin/engines/base/frame/data.py", line 1704, in groupby_reduce
    1, new_partitions, lambda df: df.columns
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition_manager.py", line 94, in get_indices
    new_idx = ray.get(new_idx)
  File "/opt/conda/lib/python3.7/site-packages/ray/worker.py", line 1474, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(KeyError): �[36mray::modin.engines.ray.pandas_on_ray.frame.partition.deploy_ray_func()�[39m (pid=8703, ip=172.17.0.3)
  File "python/ray/_raylet.pyx", line 410, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 432, in ray._raylet.execute_task
ray.exceptions.RayTaskError: �[36mray::modin.engines.ray.pandas_on_ray.frame.axis_partition.deploy_ray_func()�[39m (pid=8703, ip=172.17.0.3)
  File "python/ray/_raylet.pyx", line 446, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/axis_partition.py", line 103, in deploy_ray_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 202, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/data_management/functions/groupby_function.py", line 134, in _reduce
    return compute_reduce(df)
  File "/modin/modin/data_management/functions/groupby_function.py", line 112, in compute_reduce
    df.groupby(by=by_part, axis=axis, **groupby_args), **reduce_args
  File "/modin/modin/backends/pandas/query_compiler.py", line 2037, in <lambda>
    lambda x: x.loc[:, "sum"].sum() / x.loc[:, "count"].sum()
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 736, in apply
    result = self._python_apply_general(f)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 755, in _python_apply_general
    keys, values, not_indexed_same=mutated or self.mutated
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1338, in _wrap_applied_output
    return self._reindex_output(result)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 2511, in _reindex_output
    output = output.drop(labels=list(g_names), axis=1)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3997, in drop
    errors=errors,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3936, in drop
    obj = obj._drop_axis(labels, axis, level=level, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 3970, in _drop_axis
    new_axis = axis.drop(labels, errors=errors)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 5018, in drop
    raise KeyError(f"{labels[mask]} not found in axis")
KeyError: "[('col5', '') ('col4', '') ('col1', '')] not found in axis"
__________________ test_simple_row_groupby[False-False-by11] ___________________
[gw3] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________ test_simple_row_groupby[False-False-by14] ___________________
[gw5] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 277, in test_simple_row_groupby
    eval_mean(modin_groupby, pandas_groupby)
  File "/modin/modin/pandas/test/test_groupby.py", line 891, in eval_mean
    modin_df_almost_equals_pandas(modin_groupby.mean(), pandas_groupby.mean())
  File "/modin/modin/pandas/test/test_groupby.py", line 40, in modin_df_almost_equals_pandas
    difference = modin_df - pandas_df
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 757, in f
    return _frame_arith_method_with_reindex(self, other, op)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 727, in _frame_arith_method_with_reindex
    result = op(new_left, new_right)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 766, in f
    left, right = self.align(other, join="outer", level=level, copy=False)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py", line 3834, in align
    broadcast_axis=broadcast_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8474, in align
    fill_axis=fill_axis,
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py", line 8513, in _align_frame
    other.index, how=join, level=level, return_indexers=True
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3257, in join
    return self._join_multi(other, how=how, return_indexers=return_indexers)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3361, in _join_multi
    raise ValueError("cannot join with no overlapping index names")
ValueError: cannot join with no overlapping index names
__________________________ test_agg_exceptions[mean] ___________________________
[gw7] linux -- Python 3.7.7 /opt/conda/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/utils.py", line 607, in execute_callable
    pd_result = fn(pandas_df, **pd_kwargs)
  File "/modin/modin/pandas/test/test_groupby.py", line 66, in <lambda>
    operation, *args, **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 928, in aggregate
    result, how = self._aggregate(func, *args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 311, in _aggregate
    return self._try_aggregate_string_function(arg, *args, **kwargs), None
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/base.py", line 267, in _try_aggregate_string_function
    return f(*args, **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 1226, in mean
    "mean", alt=lambda x, axis: Series(x).mean(**kwargs), **kwargs
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 994, in _cython_agg_general
    how, alt=alt, numeric_only=numeric_only, min_count=min_count
  File "/opt/conda/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 1095, in _cython_agg_blocks
    raise DataError("No numeric types to aggregate")
pandas.core.base.DataError: No numeric types to aggregate

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_groupby.py", line 1136, in test_agg_exceptions
    eval_aggregation(*create_test_dfs(data), operation=operation)
  File "/modin/modin/pandas/test/test_groupby.py", line 69, in eval_aggregation
    **kwargs,
  File "/modin/modin/pandas/test/utils.py", line 635, in eval_general
    operation, md_kwargs=md_kwargs, pd_kwargs=pd_kwargs, inplace=__inplace__
  File "/modin/modin/pandas/test/utils.py", line 613, in execute_callable
    repr(fn(modin_df, **md_kwargs))
  File "/opt/conda/lib/python3.7/site-packages/_pytest/python_api.py", line 744, in __exit__
    fail(self.message)
  File "/opt/conda/lib/python3.7/site-packages/_pytest/outcomes.py", line 156, in fail
    raise Failed(msg=msg, pytrace=pytrace)
Failed: DID NOT RAISE <class 'Exception'>

----------- coverage: platform linux, python 3.7.7-final-0 -----------
Coverage XML written to file coverage.xml

=========================== short test summary info ============================
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by12]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by13]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[True-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by11]
FAILED modin/pandas/test/test_groupby.py::test_simple_row_groupby[False-False-by14]
FAILED modin/pandas/test/test_groupby.py::test_agg_exceptions[mean] - Failed:...
= 9 failed, 22189 passed, 3811 skipped, 598 xfailed, 1061 xpassed, 42568 warnings in 1449.23s (0:24:09) =


<b>Remaining output truncated<b>

@devin-petersohn
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Local testing shows that the following is the fastest approach.

df.groupby(by).sum() / df.groupby(by).count()  # 2 groupby and 1 join

This is strange because it is faster than a single groupby on local testing data. More understanding is required to see what the implications are for data of different shapes.

@dchigarev dchigarev mentioned this pull request Nov 30, 2020
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@YarShev
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YarShev commented Jan 20, 2022

@devin-petersohn, should this PR be closed since we have #3586?

@devin-petersohn
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We can close this

@prutskov prutskov mentioned this pull request Jun 22, 2022
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@devin-petersohn @modin-bot @YarShev