TDIGEST.TRIMMED_MEAN
TDIGEST.TRIMMED_MEAN key low_cut_quantile high_cut_quantile
- Available in:
- Redis Stack / Bloom 2.4.0
- Time complexity:
- O(N) where N is the number of centroids
Returns an estimation of the mean value from the sketch, excluding observation values outside the low and high cutoff quantiles.
Required arguments
key
is key name for an existing t-digest sketch.
low_cut_quantile
Foating-point value in the range [0..1], should be lower than high_cut_quantile
When equal to 0: No low cut.
When higher than 0: Exclude observation values lower than this quantile.
high_cut_quantile
Floating-point value in the range [0..1], should be higher than low_cut_quantile
When lower than 1: Exclude observation values higher than or equal to this quantile.
When equal to 1: No high cut.
Return value
Simple string reply estimation of the mean value. 'nan' if the sketch is empty.
Examples
redis> TDIGEST.CREATE t COMPRESSION 1000
OK
redis> TDIGEST.ADD t 1 2 3 4 5 6 7 8 9 10
OK
redis> TDIGEST.TRIMMED_MEAN t 0.1 0.6
"4"
redis> TDIGEST.TRIMMED_MEAN t 0.3 0.9
"6.5"
redis> TDIGEST.TRIMMED_MEAN t 0 1
"5.5"