Resampler.nearest(self, limit=None)
[source]
Resample by using the nearest value.
When resampling data, missing values may appear (e.g., when the resampling frequency is higher than the original frequency). The nearest
method will replace NaN
values that appeared in the resampled data with the value from the nearest member of the sequence, based on the index value. Missing values that existed in the original data will not be modified. If limit
is given, fill only this many values in each direction for each of the original values.
Parameters: |
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Returns: |
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See also
>>> s = pd.Series([1, 2], ... index=pd.date_range('20180101', ... periods=2, ... freq='1h')) >>> s 2018-01-01 00:00:00 1 2018-01-01 01:00:00 2 Freq: H, dtype: int64
>>> s.resample('15min').nearest() 2018-01-01 00:00:00 1 2018-01-01 00:15:00 1 2018-01-01 00:30:00 2 2018-01-01 00:45:00 2 2018-01-01 01:00:00 2 Freq: 15T, dtype: int64
Limit the number of upsampled values imputed by the nearest:
>>> s.resample('15min').nearest(limit=1) 2018-01-01 00:00:00 1.0 2018-01-01 00:15:00 1.0 2018-01-01 00:30:00 NaN 2018-01-01 00:45:00 2.0 2018-01-01 01:00:00 2.0 Freq: 15T, dtype: float64
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https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.core.resample.Resampler.nearest.html