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1 parent 46ed6b1 commit 76c3b70Copy full SHA for 76c3b70
pandas/core/frame.py
@@ -9038,16 +9038,6 @@ def combine(
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0 0 -5.0
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1 0 4.0
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- However, if the same element in both dataframes is None, that None
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- is preserved
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-
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- >>> df1 = pd.DataFrame({"A": [0, 0], "B": [None, 4]})
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- >>> df2 = pd.DataFrame({"A": [1, 1], "B": [None, 3]})
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- >>> df1.combine(df2, take_smaller, fill_value=-5)
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- A B
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- 0 0 -5.0
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- 1 0 3.0
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Example that demonstrates the use of `overwrite` and behavior when
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the axis differ between the dataframes.
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