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add a noun
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14 files changed

+19
-19
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14 files changed

+19
-19
lines changed

pandas/core/dtypes/cast.py

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@@ -1014,7 +1014,7 @@ def convert_dtypes(
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Back-end data type applied to the resultant :class:`DataFrame`
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(still experimental). Behaviour is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0

pandas/core/generic.py

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@@ -6672,7 +6672,7 @@ def convert_dtypes(
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Back-end data type applied to the resultant :class:`DataFrame` or
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:class:`Series` (still experimental). Behaviour is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0

pandas/core/tools/numeric.py

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@@ -96,7 +96,7 @@ def to_numeric(
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is to not use nullable data types. If specified, the behavior
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is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0

pandas/io/clipboards.py

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Original file line numberDiff line numberDiff line change
@@ -44,7 +44,7 @@ def read_clipboard(
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is to not use nullable data types. If specified, the behavior
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is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0

pandas/io/excel/_base.py

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@@ -273,7 +273,7 @@
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is to not use nullable data types. If specified, the behavior
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is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0
@@ -1734,7 +1734,7 @@ def parse(
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is to not use nullable data types. If specified, the behavior
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is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0

pandas/io/feather_format.py

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Original file line numberDiff line numberDiff line change
@@ -98,7 +98,7 @@ def read_feather(
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is to not use nullable data types. If specified, the behavior
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is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`.
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0

pandas/io/html.py

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Original file line numberDiff line numberDiff line change
@@ -1137,7 +1137,7 @@ def read_html(
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is to not use nullable data types. If specified, the behavior
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is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0

pandas/io/json/_json.py

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@@ -658,7 +658,7 @@ def read_json(
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is to not use nullable data types. If specified, the behavior
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is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0

pandas/io/orc.py

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Original file line numberDiff line numberDiff line change
@@ -67,7 +67,7 @@ def read_orc(
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is to not use nullable data types. If specified, the behavior
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is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0

pandas/io/parquet.py

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@@ -548,7 +548,7 @@ def read_parquet(
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is to not use nullable data types. If specified, the behavior
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is as follows:
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* ``"numpy_nullable"``: returns with nullable-dtype-backed
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* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
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* ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`
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.. versionadded:: 2.0

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