Method: Polars::Expr#quantile

Defined in:
lib/polars/expr.rb

#quantile(quantile, interpolation: "nearest") ⇒ Expr

Get quantile value.

Examples:

df = Polars::DataFrame.new({"a" => [0, 1, 2, 3, 4, 5]})
df.select(Polars.col("a").quantile(0.3))
# =>
# shape: (1, 1)
# ┌─────┐
# │ a   │
# │ --- │
# │ f64 │
# ╞═════╡
# │ 2.0 │
# └─────┘
df.select(Polars.col("a").quantile(0.3, interpolation: "higher"))
# =>
# shape: (1, 1)
# ┌─────┐
# │ a   │
# │ --- │
# │ f64 │
# ╞═════╡
# │ 2.0 │
# └─────┘
df.select(Polars.col("a").quantile(0.3, interpolation: "lower"))
# =>
# shape: (1, 1)
# ┌─────┐
# │ a   │
# │ --- │
# │ f64 │
# ╞═════╡
# │ 1.0 │
# └─────┘
df.select(Polars.col("a").quantile(0.3, interpolation: "midpoint"))
# =>
# shape: (1, 1)
# ┌─────┐
# │ a   │
# │ --- │
# │ f64 │
# ╞═════╡
# │ 1.5 │
# └─────┘
df.select(Polars.col("a").quantile(0.3, interpolation: "linear"))
# =>
# shape: (1, 1)
# ┌─────┐
# │ a   │
# │ --- │
# │ f64 │
# ╞═════╡
# │ 1.5 │
# └─────┘

Parameters:

  • quantile (Float) —

    Quantile between 0.0 and 1.0.

  • interpolation ("nearest", "higher", "lower", "midpoint", "linear") (defaults to: "nearest") —

    Interpolation method.

Returns:



2510
2511
2512
2513
 
# File 'lib/polars/expr.rb', line 2510

def quantile(quantile, interpolation: "nearest")
  quantile = Utils.parse_into_expression(quantile, str_as_lit: false)
  _from_rbexpr(_rbexpr.quantile(quantile, interpolation))
end