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quantiles
Calculates several useful percentiles of the aggregated data using tdigest. Returns a serialized JSON object with the keys for 1%, 10%, 50%, 90%, and 99%. You can use px.pluck_float64 to grab the specific values from the result.
Returns: STRING
The quantiles data, serialized as a JSON dictionary.
Arguments
| Variable | Type | Description |
|---|---|---|
| val | INT64 / FLOAT64 | The data to calculate the quantiles distribution. |
Examples:
# Calculate the quantiles.df = df.agg(latency_dist=('latency_ms', px.quantiles))# Pluck p99 from the quantiles.df.p99 = px.pluck_float64(df.latency_dist, 'p99')
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