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fixed issue#59670. DOC #59714

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fixed issue#59670. DOC #59714

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fixed issue#59670. DOC
StaticAccess Sep 4, 2024
7e856e1
fixed issue#59670.Adding information on doc
StaticAccess Sep 4, 2024
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3 changes: 2 additions & 1 deletion pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2126,7 +2126,8 @@ def from_records(
associated with them, this argument provides names for the
columns. Otherwise this argument indicates the order of the columns
in the result (any names not found in the data will become all-NA
columns).
columns).Additionally,specifying `columns` will limit the DataFrame to only
include the specified columns, similar to an "include" or "usecols" functionality.
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I would suggest simplifying this language as follows:

Otherwise this argument indicates the order of the columns in the result (any names not found in the data will become all-NA columns) and limits the data to these columns if not all column names are provided.

I don't think it's worth mentioning "include" or "usecols" because it's better to keep the description brief.

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Current:
Column names to use. If the passed data do not have names associated with them, this argument provides names for the columns. Otherwise, this argument indicates the order of the columns in the result (any names not found in the data will become all-NA columns).

Propose 1:
Column names to use. If the passed data do not have names associated with them, this argument provides names for the columns. Otherwise, this argument indicates the order of the columns in the result (any names not found in the data will become all-NA columns) and limits the data to these columns if not all column names are provided.

Proposed 2:
The columns argument specifies the column names for the DataFrame. If the data does not have column names, this argument assigns them. If the data already includes column names, this argument determines the order of the columns and limits the DataFrame to include only the columns listed. Any columns not specified will be excluded.

Would this revision work, or do you think there's a better way to phrase it? I’d love to hear your thoughts. Thanks so much for your time!

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I recommend leaving the first sentences alone, since they're not part of this issue, and also not limit the scope of the argument to DataFrames. If it's not working for other types, that's something that can be fixed rather than documenting the bug / limitation (see e.g. this issue that was just filed: #59717).

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Here's a polite reply to that message:

Thank you for your feedback! I agree, keeping the first sentences unchanged makes sense, and addressing the broader scope beyond just DataFrames is the right approach. If this affects other types, fixing the issue rather than documenting a limitation would indeed be the best course of action. Thanks for pointing that out!

coerce_float : bool, default False
Attempt to convert values of non-string, non-numeric objects (like
decimal.Decimal) to floating point, useful for SQL result sets.
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