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DOC: Clarify to_numeric behavior for numeric dtypes #61904

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merged 2 commits into from
Jul 21, 2025
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DOC: Clarify to_numeric behavior for numeric dtypes #61904

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Doc: Clarify to_numeric behavior for numeric dtypes
chilin0525 Jul 19, 2025
494aaad
remove internal attribute from doc
chilin0525 Jul 19, 2025
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6 changes: 4 additions & 2 deletions pandas/core/tools/numeric.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,9 +55,11 @@ def to_numeric(
"""
Convert argument to a numeric type.

The default return dtype is `float64` or `int64`
If the input is already of a numeric dtype, the dtype will be preserved.
For non-numeric inputs, the default return dtype is `float64` or `int64`
depending on the data supplied. Use the `downcast` parameter
to obtain other dtypes.
to obtain other dtypes. Numeric dtypes include all dtypes that have
the `_is_numeric` attribute set to `True`.
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_is_numeric is an internal attribute, I do not think we should be mentioning it in the docs. It seems to me this sentence can be removed without loss of clarity.

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Thanks @rhshadrach , resolved in 494aaad


Please note that precision loss may occur if really large numbers
are passed in. Due to the internal limitations of `ndarray`, if
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