Describe

Coral.Frame.describe(frame) summarizes numeric columns and skips string and bool columns. The result has a stat string column with eight rows: count, mean, std, min, 25%, 50%, 75%, and max. Each numeric input column has a corresponding FloatCol of results. Coral uses Nautilus.Stats for these calculations.

NaNs in float columns and masked values in integer columns are left out of the summary. Standard deviation uses the sample divisor (ddof=1).

module Coral.BookDescribe
import Coral.Frame (FloatCol, from_pairs, describe, get_float_col)
export (main)
def main() -> f32 = {
  frame = from_pairs([("price", FloatCol(to_tensor([10.0f32, div(0.0f32, 0.0f32), 40.0f32])))])
  summary = describe(frame)
  index(to_list(get_float_col(summary, "price")), 0i64)
}

The first result is the count of non-NaN prices, so main returns 2.0.