REFACTOR-#7017: Align to_hdf and hist signatures to pandas

modin/pandas/base.py

@@ -16,7 +16,7 @@
 import pickle as pkl
 import re
 import warnings
-from typing import Any, Hashable, Optional, Sequence, Union
+from typing import Any, Hashable, Literal, Optional, Sequence, Union
 
 import numpy as np
 import pandas
@@ -3239,13 +3239,41 @@ def to_dict(self, orient="dict", into=dict, index=True):
 
     @expanduser_path_arg("path_or_buf")
     def to_hdf(
-        self, path_or_buf, key, format="table", **kwargs
-    ):  # pragma: no cover  # noqa: PR01, RT01, D200
+        self,
+        path_or_buf,
+        key: str,
+        mode: Literal["a", "w", "r+"] = "a",
+        complevel: int | None = None,
+        complib: Literal["zlib", "lzo", "bzip2", "blosc"] | None = None,
+        append: bool = False,
+        format: Literal["fixed", "table"] | None = None,
+        index: bool = True,
+        min_itemsize: int | dict[str, int] | None = None,
+        nan_rep=None,
+        dropna: bool | None = None,
+        data_columns: Literal[True] | list[str] | None = None,
+        errors: str = "strict",
+        encoding: str = "UTF-8",
+    ) -> None:  # pragma: no cover  # noqa: PR01, RT01, D200
         """
         Write the contained data to an HDF5 file using HDFStore.
         """
         return self._default_to_pandas(
-            "to_hdf", path_or_buf, key, format=format, **kwargs
+            "to_hdf",
+            path_or_buf,
+            key=key,
+            mode=mode,
+            complevel=complevel,
+            complib=complib,
+            append=append,
+            format=format,
+            index=index,
+            min_itemsize=min_itemsize,
+            nan_rep=nan_rep,
+            dropna=dropna,
+            data_columns=data_columns,
+            errors=errors,
+            encoding=encoding,
         )
 
     @expanduser_path_arg("path_or_buf")

modin/pandas/dataframe.py

@@ -27,7 +27,13 @@
 import numpy as np
 import pandas
 from pandas._libs import lib
-from pandas._typing import CompressionOptions, FilePath, StorageOptions, WriteBuffer
+from pandas._typing import (
+    CompressionOptions,
+    FilePath,
+    IndexLabel,
+    StorageOptions,
+    WriteBuffer,
+)
 from pandas.core.common import apply_if_callable, get_cython_func
 from pandas.core.computation.eval import _check_engine
 from pandas.core.dtypes.common import (
@@ -966,26 +972,28 @@ def gt(self, other, axis="columns", level=None):  # noqa: PR01, RT01, D200
         )
 
     def hist(
-        self,
-        column=None,
+        data,
+        column: IndexLabel | None = None,
         by=None,
-        grid=True,
-        xlabelsize=None,
-        xrot=None,
-        ylabelsize=None,
-        yrot=None,
+        grid: bool = True,
+        xlabelsize: int | None = None,
+        xrot: float | None = None,
+        ylabelsize: int | None = None,
+        yrot: float | None = None,
         ax=None,
-        sharex=False,
-        sharey=False,
-        figsize=None,
-        layout=None,
-        bins=10,
-        **kwds,
+        sharex: bool = False,
+        sharey: bool = False,
+        figsize: tuple[int, int] | None = None,
+        layout: tuple[int, int] | None = None,
+        bins: int | Sequence[int] = 10,
+        backend: str | None = None,
+        legend: bool = False,
+        **kwargs,
     ):  # pragma: no cover # noqa: PR01, RT01, D200
         """
         Make a histogram of the ``DataFrame``.
         """
-        return self._default_to_pandas(
+        return data._default_to_pandas(
             pandas.DataFrame.hist,
             column=column,
             by=by,
@@ -1000,7 +1008,9 @@ def hist(
             figsize=figsize,
             layout=layout,
             bins=bins,
-            **kwds,
+            backend=backend,
+            legend=legend,
+            **kwargs,
         )
 
     def info(

modin/pandas/series.py

@@ -22,7 +22,7 @@
 import numpy as np
 import pandas
 from pandas._libs import lib
-from pandas._typing import Axis, IndexKeyFunc
+from pandas._typing import Axis, IndexKeyFunc, Sequence
 from pandas.api.types import is_integer
 from pandas.core.common import apply_if_callable, is_bool_indexer
 from pandas.core.dtypes.common import is_dict_like, is_list_like
@@ -1123,14 +1123,16 @@ def hist(
         self,
         by=None,
         ax=None,
-        grid=True,
-        xlabelsize=None,
-        xrot=None,
-        ylabelsize=None,
-        yrot=None,
-        figsize=None,
-        bins=10,
-        **kwds,
+        grid: bool = True,
+        xlabelsize: int | None = None,
+        xrot: float | None = None,
+        ylabelsize: int | None = None,
+        yrot: float | None = None,
+        figsize: tuple[int, int] | None = None,
+        bins: int | Sequence[int] = 10,
+        backend: str | None = None,
+        legend: bool = False,
+        **kwargs,
     ):  # noqa: PR01, RT01, D200
         """
         Draw histogram of the input series using matplotlib.
@@ -1146,7 +1148,9 @@ def hist(
             yrot=yrot,
             figsize=figsize,
             bins=bins,
-            **kwds,
+            backend=backend,
+            legend=legend,
+            **kwargs,
         )
 
     def idxmax(self, axis=0, skipna=True, *args, **kwargs):  # noqa: PR01, RT01, D200

modin/pandas/test/test_api.py

@@ -164,7 +164,7 @@ def test_dataframe_api_equality():
     ), "Differences found in API: {}".format(set(modin_dir) - set(pandas_dir))
 
     # These have to be checked manually
-    allowed_different = ["to_hdf", "hist", "modin"]
+    allowed_different = ["modin"]
 
     assert_parameters_eq((pandas.DataFrame, pd.DataFrame), modin_dir, allowed_different)
 
@@ -275,7 +275,7 @@ def test_series_api_equality():
     )
 
     # These have to be checked manually
-    allowed_different = ["to_hdf", "hist", "modin"]
+    allowed_different = ["modin"]
 
     assert_parameters_eq((pandas.Series, pd.Series), modin_dir, allowed_different)