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pandas/core/generic.py
@@ -6593,13 +6593,6 @@ def convert_dtypes(
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In the future, as new dtypes are added that support ``pd.NA``, the results
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of this method will change to support those new dtypes.
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- .. versionadded:: 2.0
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- The nullable dtype implementation can be configured by calling
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- ``pd.set_option("mode.dtype_backend", "pandas")`` to use
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- numpy-backed nullable dtypes or
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- ``pd.set_option("mode.dtype_backend", "pyarrow")`` to use
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- pyarrow-backed nullable dtypes (using ``pd.ArrowDtype``).
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-
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Examples
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--------
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>>> df = pd.DataFrame(
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