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pandas/core/frame.py

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@@ -10399,11 +10399,13 @@ def apply(
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These only act when ``axis=1`` (columns):
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* 'expand' : list-like results will be turned into columns.
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Note: The output type is inferred from the first function return value.
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If the first return value is not list-like (e.g., None or NaN), expansion
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will not occur, and the result may be a Series instead of a DataFrame.
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To avoid inconsistent output types, ensure your function returns consistent
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list-like objects (e.g., an empty dict {}) for missing or NaN-like values.
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Note: The output type is inferred from the first function return value.
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If the first return value is not list-like (e.g., None or NaN), expansion
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will not occur, and the result may be a Series instead of a DataFrame.
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To avoid inconsistent output types, ensure your function returns
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consistent list-like objects (e.g., an empty dict {}) for missing or
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NaN-like values.
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* 'reduce' : returns a Series if possible rather than expanding
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list-like results. This is the opposite of 'expand'.

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