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pandas/core/resample.py
@@ -1061,7 +1061,7 @@ def interpolate(
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2023-03-01 07:00:04.000 3.0
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Freq: 500ms, dtype: float64
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- Internal reindexing with ``as_freq()`` prior to interpolation leads to
+ Internal reindexing with ``asfreq()`` prior to interpolation leads to
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an interpolated timeseries on the basis the reindexed timestamps (anchors).
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Since not all datapoints from original series become anchors,
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it can lead to misleading interpolation results as in the following example:
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