REF: Rename exchange -> interchange

doc/source/reference/general_functions.rst

@@ -85,4 +85,4 @@ Importing from other DataFrame libraries
 .. autosummary::
    :toctree: api/
 
-   api.exchange.from_dataframe
+   api.interchange.from_dataframe

pandas/api/__init__.py

@@ -1,13 +1,13 @@
 """ public toolkit API """
 from pandas.api import (
-    exchange,
     extensions,
     indexers,
+    interchange,
     types,
 )
 
 __all__ = [
-    "exchange",
+    "interchange",
     "extensions",
     "indexers",
     "types",

pandas/api/interchange/__init__.py

@@ -0,0 +1,8 @@
+"""
+Public API for DataFrame interchange protocol.
+"""
+
+from pandas.core.interchange.dataframe_protocol import DataFrame
+from pandas.core.interchange.from_dataframe import from_dataframe
+
+__all__ = ["from_dataframe", "DataFrame"]

pandas/core/frame.py

@@ -220,8 +220,8 @@
 
 if TYPE_CHECKING:
 
-    from pandas.core.exchange.dataframe_protocol import DataFrame as DataFrameXchg
     from pandas.core.groupby.generic import DataFrameGroupBy
+    from pandas.core.interchange.dataframe_protocol import DataFrame as DataFrameXchg
     from pandas.core.internals import SingleDataManager
     from pandas.core.resample import Resampler
 
@@ -819,7 +819,7 @@ def __dataframe__(
         self, nan_as_null: bool = False, allow_copy: bool = True
     ) -> DataFrameXchg:
         """
-        Return the dataframe exchange object implementing the exchange protocol.
+        Return the dataframe interchange object implementing the interchange protocol.
 
         Parameters
         ----------
@@ -832,19 +832,19 @@ def __dataframe__(
 
         Returns
         -------
-        DataFrame exchange object
+        DataFrame interchange object
             The object which consuming library can use to ingress the dataframe.
 
         Notes
         -----
-        Details on the exchange protocol:
+        Details on the interchange protocol:
         https://data-apis.org/dataframe-protocol/latest/index.html
 
         `nan_as_null` currently has no effect; once support for nullable extension
         dtypes is added, this value should be propagated to columns.
         """
 
-        from pandas.core.exchange.dataframe import PandasDataFrameXchg
+        from pandas.core.interchange.dataframe import PandasDataFrameXchg
 
         return PandasDataFrameXchg(self, nan_as_null, allow_copy)
 

pandas/core/exchange/buffer.py → pandas/core/interchange/buffer.py

@@ -3,7 +3,7 @@
 import numpy as np
 from packaging import version
 
-from pandas.core.exchange.dataframe_protocol import (
+from pandas.core.interchange.dataframe_protocol import (
     Buffer,
     DlpackDeviceType,
 )

pandas/core/exchange/column.py → pandas/core/interchange/column.py

@@ -12,14 +12,14 @@
     is_categorical_dtype,
     is_string_dtype,
 )
-from pandas.core.exchange.buffer import PandasBuffer
-from pandas.core.exchange.dataframe_protocol import (
+from pandas.core.interchange.buffer import PandasBuffer
+from pandas.core.interchange.dataframe_protocol import (
     Column,
     ColumnBuffers,
     ColumnNullType,
     DtypeKind,
 )
-from pandas.core.exchange.utils import (
+from pandas.core.interchange.utils import (
     ArrowCTypes,
     Endianness,
     NoBufferPresent,
@@ -136,7 +136,7 @@ def _dtype_from_pandasdtype(self, dtype) -> tuple[DtypeKind, int, str, str]:
         kind = _NP_KINDS.get(dtype.kind, None)
         if kind is None:
             # Not a NumPy dtype. Check if it's a categorical maybe
-            raise ValueError(f"Data type {dtype} not supported by exchange protocol")
+            raise ValueError(f"Data type {dtype} not supported by interchange protocol")
 
         return kind, dtype.itemsize * 8, dtype_to_arrow_c_fmt(dtype), dtype.byteorder
 

pandas/core/exchange/dataframe.py → pandas/core/interchange/dataframe.py

@@ -4,8 +4,8 @@
 from typing import TYPE_CHECKING
 
 import pandas as pd
-from pandas.core.exchange.column import PandasColumn
-from pandas.core.exchange.dataframe_protocol import DataFrame as DataFrameXchg
+from pandas.core.interchange.column import PandasColumn
+from pandas.core.interchange.dataframe_protocol import DataFrame as DataFrameXchg
 
 if TYPE_CHECKING:
     from pandas import Index

pandas/core/exchange/dataframe_protocol.py → pandas/core/interchange/dataframe_protocol.py

@@ -389,7 +389,7 @@ class DataFrame(ABC):
 
     @abstractmethod
     def __dataframe__(self, nan_as_null: bool = False, allow_copy: bool = True):
-        """Construct a new exchange object, potentially changing the parameters."""
+        """Construct a new interchange object, potentially changing the parameters."""
         pass
 
     @property

pandas/core/exchange/from_dataframe.py → pandas/core/interchange/from_dataframe.py

@@ -7,14 +7,14 @@
 import numpy as np
 
 import pandas as pd
-from pandas.core.exchange.dataframe_protocol import (
+from pandas.core.interchange.dataframe_protocol import (
     Buffer,
     Column,
     ColumnNullType,
     DataFrame as DataFrameXchg,
     DtypeKind,
 )
-from pandas.core.exchange.utils import (
+from pandas.core.interchange.utils import (
     ArrowCTypes,
     Endianness,
 )
@@ -34,7 +34,7 @@ def from_dataframe(df, allow_copy=True) -> pd.DataFrame:
     Parameters
     ----------
     df : DataFrameXchg
-        Object supporting the exchange protocol, i.e. `__dataframe__` method.
+        Object supporting the interchange protocol, i.e. `__dataframe__` method.
     allow_copy : bool, default: True
         Whether to allow copying the memory to perform the conversion
         (if false then zero-copy approach is requested).
@@ -54,12 +54,12 @@ def from_dataframe(df, allow_copy=True) -> pd.DataFrame:
 
 def _from_dataframe(df: DataFrameXchg, allow_copy=True):
     """
-    Build a ``pd.DataFrame`` from the DataFrame exchange object.
+    Build a ``pd.DataFrame`` from the DataFrame interchange object.
 
     Parameters
     ----------
     df : DataFrameXchg
-        Object supporting the exchange protocol, i.e. `__dataframe__` method.
+        Object supporting the interchange protocol, i.e. `__dataframe__` method.
     allow_copy : bool, default: True
         Whether to allow copying the memory to perform the conversion
         (if false then zero-copy approach is requested).
@@ -91,7 +91,7 @@ def _from_dataframe(df: DataFrameXchg, allow_copy=True):
 
 def protocol_df_chunk_to_pandas(df: DataFrameXchg) -> pd.DataFrame:
     """
-    Convert exchange protocol chunk to ``pd.DataFrame``.
+    Convert interchange protocol chunk to ``pd.DataFrame``.
 
     Parameters
     ----------

pandas/core/exchange/utils.py → pandas/core/interchange/utils.py

@@ -1,5 +1,5 @@
 """
-Utility functions and objects for implementing the exchange API.
+Utility functions and objects for implementing the interchange API.
 """
 
 from __future__ import annotations

pandas/tests/api/test_api.py

@@ -277,7 +277,7 @@ def test_np():
 
 
 class TestApi(Base):
-    allowed = ["types", "extensions", "indexers", "exchange"]
+    allowed = ["types", "extensions", "indexers", "interchange"]
 
     def test_api(self):
         self.check(api, self.allowed)

pandas/tests/exchange/test_impl.py → pandas/tests/interchange/test_impl.py

@@ -6,11 +6,11 @@
 
 import pandas as pd
 import pandas._testing as tm
-from pandas.core.exchange.dataframe_protocol import (
+from pandas.core.interchange.dataframe_protocol import (
     ColumnNullType,
     DtypeKind,
 )
-from pandas.core.exchange.from_dataframe import from_dataframe
+from pandas.core.interchange.from_dataframe import from_dataframe
 
 test_data_categorical = {
     "ordered": pd.Categorical(list("testdata") * 30, ordered=True),

pandas/tests/exchange/test_utils.py → pandas/tests/interchange/test_utils.py

@@ -2,7 +2,7 @@
 import pytest
 
 import pandas as pd
-from pandas.core.exchange.utils import dtype_to_arrow_c_fmt
+from pandas.core.interchange.utils import dtype_to_arrow_c_fmt
 
 # TODO: use ArrowSchema to get reference C-string.
 # At the time, there is no way to access ArrowSchema holding a type format string