address comment

Signed-off-by: jyz0309 <45495947@qq.com>
This commit is contained in:
jyz0309 2022-02-15 22:09:17 +08:00
parent 02e032884a
commit e40deb1086
3 changed files with 7 additions and 2 deletions

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@ -241,7 +241,7 @@ vector. `by` and `without` are only used to bucket the input vector.
`quantile` calculates the φ-quantile, the value that ranks at number φ*N among
the N metric values of the dimensions aggregated over. φ is provided as the
aggregation parameter. For example, `quantile(0.5, ...)` calculates the median,
`quantile(0.95, ...)` the 95th percentile. For φ = `NaN`, `NaN` is returned.
`quantile(0.95, ...)` the 95th percentile. For φ = `NaN`, `NaN` is returned. For φ < 0, `-Inf` is returned. For φ > 1, `+Inf` is returned.
Example:

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@ -186,7 +186,7 @@ func ensureMonotonic(buckets buckets) {
// quantile calculates the given quantile of a vector of samples.
//
// The Vector will be sorted.
// If 'values' has zero elements
// If 'values' has zero elements, NaN is returned.
// If q==NaN, NaN is returned.
// If q<0, -Inf is returned.
// If q>1, +Inf is returned.

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@ -399,6 +399,11 @@ eval instant at 1m quantile without(point)((scalar(foo)), data)
{test="three samples"} 1.6
{test="uneven samples"} 2.8
eval instant at 1m quantile without(point)(NaN, data)
{test="two samples"} NaN
{test="three samples"} NaN
{test="uneven samples"} NaN
# Tests for group.
clear