code: def test_series_describe_float() -> None:
      s = pl.Series([1.3, 4.6, 8.9])
      result = s.describe()
  
      stats = {
          "count": 3.0,
          "null_count": 0.0,
          "mean": 4.933333333333334,
          "std": 3.8109491381194442,
          "min": 1.3,
          "25%": 4.6,
          "50%": 4.6,
          "75%": 8.9,
          "max": 8.9,
      }
      expected = pl.DataFrame(
          {"statistic": stats.keys(), "value": stats.values()}
      )
      assert_frame_equal(expected, result)
  
file_path: polars/py-polars/tests/unit/series/test_describe.py
imports: from datetime import date
  import pytest
  import polars
  from polars.testing.asserts.frame import assert_frame_equal
label_desc: Use image node_id 2 for calling a global function with example usage: test_series_describe_float() without return types