address review comments

Signed-off-by: Anatoly Myachev <[email protected]>

modin/core/storage_formats/pandas/aggregations.py

@@ -57,7 +57,7 @@ def corr_method(
  numeric_only: bool = True,
  ) -> PandasQueryCompiler:
  # Further implementation is designed for the default pandas backend (numpy)
- if method != "pearson" or qc.get_backend() == "pyarrow":
+ if method != "pearson" or qc.get_pandas_backend() == "pyarrow":
  return super(type(qc), qc).corr(
  method=method, min_periods=min_periods, numeric_only=numeric_only
  )

modin/core/storage_formats/pandas/query_compiler.py

@@ -2284,7 +2284,7 @@ def clip(self, lower, upper, **kwargs):
  corr = CorrCovBuilder.build_corr_method()
 
  def cov(self, min_periods=None, ddof=1):
- if self.get_backend() == "pyarrow":
+ if self.get_pandas_backend() == "pyarrow":
  return super().cov(min_periods=min_periods, ddof=ddof)
  # _nancorr use numpy which incompatible with pandas dataframes on pyarrow
  return self._nancorr(min_periods=min_periods, cov=True, ddof=ddof)

modin/pandas/dataframe.py

@@ -1622,8 +1622,8 @@ def prod(
  skipna is not False
  and numeric_only is False
  and min_count > len(axis_to_apply)
- # Type inference is not so simple for pyarrow
- and self._query_compiler.get_backend() is None
+ # This fast path is only suitable for the default backend
+ and self._query_compiler.get_pandas_backend() is None
  ):
  new_index = self.columns if not axis else self.index
  # >>> pd.DataFrame([1,2,3,4], dtype="int64[pyarrow]").prod(min_count=10)
@@ -2152,8 +2152,8 @@ def sum(
  skipna is not False
  and numeric_only is False
  and min_count > len(axis_to_apply)
- # Type inference is not so simple for pyarrow
- and self._query_compiler.get_backend() is None
+ # This fast path is only suitable for the default backend
+ and self._query_compiler.get_pandas_backend() is None
  ):
  new_index = self.columns if not axis else self.index
  return Series(