fix

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

modin/core/dataframe/pandas/dataframe/dataframe.py

@@ -1702,7 +1702,7 @@ def astype_builder(df):
  # Assume that the dtype is a scalar.
  if not (col_dtypes == self_dtypes).all():
  new_dtypes = self_dtypes.copy()
- new_dtype = self.construct_dtype(col_dtypes)
+ new_dtype = self.construct_dtype(col_dtypes, self._pandas_backend)
  if Engine.get() == "Dask" and hasattr(new_dtype, "_is_materialized"):
  # FIXME: https://github.com/dask/distributed/issues/8585
  _ = new_dtype._materialize_categories()
@@ -4525,7 +4525,7 @@ def from_pandas(cls, df):
  new_index = df.index
  new_columns = df.columns
  new_dtypes = df.dtypes
- new_frame, new_lengths, new_widths, backend = (
+ new_frame, new_lengths, new_widths, pandas_backend = (
  cls._partition_mgr_cls.from_pandas(df, True)
  )
  return cls(
@@ -4535,7 +4535,7 @@ def from_pandas(cls, df):
  new_lengths,
  new_widths,
  dtypes=new_dtypes,
- backend=backend,
+ pandas_backend=pandas_backend,
  )
 
  @classmethod
@@ -4553,8 +4553,8 @@ def from_arrow(cls, at):
  PandasDataframe
  New Modin DataFrame.
  """
- new_frame, new_lengths, new_widths, backend = cls._partition_mgr_cls.from_arrow(
- at, return_dims=True
+ new_frame, new_lengths, new_widths, pandas_backend = (
+ cls._partition_mgr_cls.from_arrow(at, return_dims=True)
  )
  new_columns = Index.__new__(Index, data=at.column_names, dtype="O")
  new_index = Index.__new__(RangeIndex, data=range(at.num_rows))
@@ -4569,7 +4569,7 @@ def from_arrow(cls, at):
  row_lengths=new_lengths,
  column_widths=new_widths,
  dtypes=new_dtypes,
- backend=backend,
+ pandas_backend=pandas_backend,
  )
 
  @classmethod