add Series.cut/6 and Series.qcut/6

lib/explorer/backend/lazy_series.ex

@@ -883,6 +883,8 @@ defmodule Explorer.Backend.LazySeries do
     categories: 1,
     categorise: 2,
     frequencies: 1,
+    cut: 6,
+    qcut: 6,
     mask: 2,
     to_iovec: 1,
     to_list: 1

lib/explorer/backend/series.ex

@@ -154,6 +154,13 @@ defmodule Explorer.Backend.Series do
   @callback n_distinct(s) :: integer() | lazy_s()
   @callback frequencies(s) :: df
 
+  # Categorisation
+
+  @callback cut(s, [float()], [String.t()] | nil, String.t() | nil, String.t() | nil, boolean()) ::
+              df
+  @callback qcut(s, [float()], [String.t()] | nil, String.t() | nil, String.t() | nil, boolean()) ::
+              df
+
   # Rolling
 
   @callback window_sum(

lib/explorer/polars_backend/native.ex

@@ -321,6 +321,11 @@ defmodule Explorer.PolarsBackend.Native do
   def s_upcase(_s), do: err()
   def s_unordered_distinct(_s), do: err()
   def s_frequencies(_s), do: err()
+  def s_cut(_s, _bins, _labels, _break_point_label, _category_label, _maintain_order), do: err()
+
+  def s_qcut(_s, _quantiles, _labels, _break_point_label, _category_label, _maintain_order),
+    do: err()
+
   def s_variance(_s), do: err()
   def s_window_max(_s, _window_size, _weight, _ignore_null, _min_periods), do: err()
   def s_window_mean(_s, _window_size, _weight, _ignore_null, _min_periods), do: err()

lib/explorer/polars_backend/series.ex

@@ -441,6 +441,34 @@ defmodule Explorer.PolarsBackend.Series do
     |> DataFrame.rename(["values", "counts"])
   end
 
+  # Categorisation
+
+  @impl true
+  def cut(series, bins, labels, break_point_label, category_label, maintain_order) do
+    Shared.apply(:s_cut, [
+      series.data,
+      bins,
+      labels,
+      break_point_label,
+      category_label,
+      maintain_order
+    ])
+    |> Shared.create_dataframe()
+  end
+
+  @impl true
+  def qcut(series, quantiles, labels, break_point_label, category_label, maintain_order) do
+    Shared.apply(:s_qcut, [
+      series.data,
+      quantiles,
+      labels,
+      break_point_label,
+      category_label,
+      maintain_order
+    ])
+    |> Shared.create_dataframe()
+  end
+
   # Window
 
   @impl true

lib/explorer/series.ex

@@ -3539,6 +3539,91 @@ defmodule Explorer.Series do
   @doc type: :aggregation
   def frequencies(series), do: apply_series(series, :frequencies)
 
+  @doc """
+  Bins values into discrete values.
+
+  Given a `bins` length of N, there will be N+1 categories.
+
+  ## Options
+
+    * `:labels` - The labels assigned to the bins. Given `bins` of
+      length N, `:labels` must be of length N+1. Defaults to the bin
+      bounds (e.g. `(-inf -1.0]`, `(-1.0, 1.0]`, `(1.0, inf]`)
+
+    * `:break_point_label` - The name given to the breakpoint column.
+      Defaults to `break_point`.
+
+    * `:category_label` - The name given to the category column.
+      Defaults to `category`.
+
+    * `:maintain_order` - The name given to the category column.
+      Defaults to `false`.
+
+  ## Examples
+
+      iex> s = Explorer.Series.from_list([1.0, 2.0, 3.0])
+      iex> Explorer.Series.cut(s, [1.5, 2.5])
+      #Explorer.DataFrame<
+        Polars[3 x 3]
+         float [1.0, 2.0, 3.0]
+        break_point float [1.5, 2.5, Inf]
+        category category ["(-inf, 1.5]", "(1.5, 2.5]", "(2.5, inf]"]
+      >
+  """
+  @doc type: :aggregation
+  def cut(series, bins, opts \\ []) do
+    apply_series(series, :cut, [
+      Enum.map(bins, &(&1 / 1.0)),
+      Keyword.get(opts, :labels),
+      Keyword.get(opts, :break_point_label),
+      Keyword.get(opts, :category_label),
+      Keyword.get(opts, :maintain_order, false)
+    ])
+  end
+
+  @doc """
+  Bins values into discrete values base on their quantiles.
+
+  Given a `quantiles` length of N, there will be N+1 categories. Each
+  element of `quantiles` is expected to be between 0.0 and 1.0.
+
+  ## Options
+
+    * `:labels` - The labels assigned to the bins. Given `bins` of
+      length N, `:labels` must be of length N+1. Defaults to the bin
+      bounds (e.g. `(-inf -1.0]`, `(-1.0, 1.0]`, `(1.0, inf]`)
+
+    * `:break_point_label` - The name given to the breakpoint column.
+      Defaults to `break_point`.
+
+    * `:category_label` - The name given to the category column.
+      Defaults to `category`.
+
+    * `:maintain_order` - The name given to the category column.
+      Defaults to `false`.
+
+  ## Examples
+
+      iex> s = Explorer.Series.from_list([1.0, 2.0, 3.0, 4.0, 5.0])
+      iex> Explorer.Series.qcut(s, [0.25, 0.75])
+      #Explorer.DataFrame<
+        Polars[5 x 3]
+         float [1.0, 2.0, 3.0, 4.0, 5.0]
+        break_point float [2.0, 2.0, 4.0, 4.0, Inf]
+        category category ["(-inf, 2.0]", "(-inf, 2.0]", "(2.0, 4.0]", "(2.0, 4.0]", "(4.0, inf]"]
+      >
+  """
+  @doc type: :aggregation
+  def qcut(series, quantiles, opts \\ []) do
+    apply_series(series, :qcut, [
+      Enum.map(quantiles, &(&1 / 1.0)),
+      Keyword.get(opts, :labels),
+      Keyword.get(opts, :break_point_label),
+      Keyword.get(opts, :category_label),
+      Keyword.get(opts, :maintain_order, false)
+    ])
+  end
+
   @doc """
   Counts the number of elements in a series.
 

native/explorer/Cargo.toml

@@ -70,3 +70,6 @@ features = [
 
 [dependencies.polars-ops]
 version = "0.29"
+
+[dependencies.polars-algo]
+version = "0.29"

native/explorer/src/lib.rs

@@ -392,6 +392,8 @@ rustler::init!(
         s_to_iovec,
         s_unordered_distinct,
         s_frequencies,
+        s_cut,
+        s_qcut,
         s_variance,
         s_window_max,
         s_window_mean,

native/explorer/src/series.rs

@@ -7,6 +7,7 @@ use crate::{
 use encoding::encode_datetime;
 use polars::export::arrow::array::Utf8Array;
 use polars::prelude::*;
+use polars_algo::{cut, qcut};
 use rustler::{Binary, Encoder, Env, ListIterator, Term, TermType};
 use std::{result::Result, slice};
 
@@ -325,6 +326,49 @@ pub fn s_frequencies(series: ExSeries) -> Result<ExDataFrame, ExplorerError> {
     Ok(ExDataFrame::new(df))
 }
 
+#[rustler::nif(schedule = "DirtyCpu")]
+pub fn s_cut(
+    series: ExSeries,
+    bins: Vec<f64>,
+    labels: Option<Vec<&str>>,
+    break_point_label: Option<&str>,
+    category_label: Option<&str>,
+    maintain_order: bool,
+) -> Result<ExDataFrame, ExplorerError> {
+    let series = series.clone_inner();
+    let bins = Series::new("", bins);
+    let df = cut(
+        &series,
+        bins,
+        labels,
+        break_point_label,
+        category_label,
+        maintain_order,
+    )?;
+    Ok(ExDataFrame::new(df))
+}
+
+#[rustler::nif(schedule = "DirtyCpu")]
+pub fn s_qcut(
+    series: ExSeries,
+    quantiles: Vec<f64>,
+    labels: Option<Vec<&str>>,
+    break_point_label: Option<&str>,
+    category_label: Option<&str>,
+    maintain_order: bool,
+) -> Result<ExDataFrame, ExplorerError> {
+    let series = series.clone_inner();
+    let df = qcut(
+        &series,
+        &quantiles,
+        labels,
+        break_point_label,
+        category_label,
+        maintain_order,
+    )?;
+    Ok(ExDataFrame::new(df))
+}
+
 #[rustler::nif(schedule = "DirtyCpu")]
 pub fn s_slice_by_indices(series: ExSeries, indices: Vec<u32>) -> Result<ExSeries, ExplorerError> {
     let idx = UInt32Chunked::from_vec("idx", indices);

test/explorer/series_test.exs

@@ -3883,4 +3883,52 @@ defmodule Explorer.SeriesTest do
       end
     end
   end
+
+  describe "categorisation functions" do
+    test "cut/6 with no nils" do
+      series = -30..30//5 |> Enum.map(&(&1 / 10)) |> Enum.to_list() |> Series.from_list()
+      df = Series.cut(series, [-1, 1])
+      freqs = Series.frequencies(df[:category])
+      assert Series.to_list(freqs[:values]) == ["(-inf, -1.0]", "(-1.0, 1.0]", "(1.0, inf]"]
+      assert Series.to_list(freqs[:counts]) == [5, 4, 4]
+    end
+
+    test "cut/6 with nils" do
+      series = Series.from_list([1, 2, 3, nil, nil])
+      df = Series.cut(series, [2])
+      assert [_, _, _, nil, nil] = Series.to_list(df[:category])
+    end
+
+    test "cut/6 options" do
+      series = Series.from_list([1, 2, 3])
+
+      assert_raise RuntimeError,
+                   "Polars Error: lengths don't match: labels count must equal bins count",
+                   fn -> Series.cut(series, [2], labels: ["x"]) end
+
+      df =
+        Series.cut(series, [2],
+          labels: ["x", "y"],
+          break_point_label: "bp",
+          category_label: "cat"
+        )
+
+      assert Explorer.DataFrame.names(df) == ["", "bp", "cat"]
+    end
+
+    test "qcut/6" do
+      series = Enum.to_list(-5..3) |> Series.from_list()
+      df = Series.qcut(series, [0.0, 0.25, 0.75])
+      freqs = Series.frequencies(df[:category])
+
+      assert Series.to_list(freqs[:values]) == [
+               "(-3.0, 1.0]",
+               "(-5.0, -3.0]",
+               "(1.0, inf]",
+               "(-inf, -5.0]"
+             ]
+
+      assert Series.to_list(freqs[:counts]) == [4, 2, 2, 1]
+    end
+  end
 end