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Copy file name to clipboardExpand all lines: docs/user-guide.rst
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@@ -259,13 +259,13 @@ If `interpolate` is not chained after a `resample` operation, the method automat
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dataset into a given frequency, then performs interpolation on the sampled time-series dataset.
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Possible values for frequency include patterns such as 1 minute, 4 hours, 2 days or simply sec, min, day.
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For the accepted functions to aggregate data, options are 'floor', 'ceil', 'min', 'max', 'mean'. Descriptions of each of these are indicated below:
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For the accepted functions to aggregate data within time buckets, options are ’floor’, ’ceil’, ’min’, ’max’, ’mean’. Descriptions of each of these are indicated below:
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* `floor` - In the time bucket (based on frequency), choose the earliest value by timestamp.
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* `ceil` - In the time bucket, choose the latest value by timestamp.
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* `min` - In the time bucket, choose the minimum (lowest) value regardless of any timestamp.
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* `max` - In the time bucket, choose the maximum (highest) value regardless of any timestamp.
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* `mean` - In the time bucket, choose the average value regardless of any timestamp.
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* `floor` - returns the earliest value by timestamp.
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* `ceil` - returns the latest value by timestamp.
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* `min` - returns the lowest value regardless of any timestamp.
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* `max` - returns the highest value regardless of any timestamp.
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* `mean` - returns the average value regardless of any timestamp.
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`NULL` values after re-sampling are treated the same as missing values. Ability to specify `NULL` as a valid value is
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