polars.Series.describe#

Series.describe( percentiles: Sequence[float] | float | None = (0.25, 0.5, 0.75), interpolation: RollingInterpolationMethod = 'nearest', ) → DataFrame[source]#

Quick summary statistics of a Series.

Series with mixed datatypes will return summary statistics for the datatype of the first value.

Parameters:

percentiles: One or more percentiles to include in the summary statistics (if the Series has a numeric dtype). All values must be in the range [0, 1].
interpolation{‘nearest’, ‘higher’, ‘lower’, ‘midpoint’, ‘linear’}: Interpolation method used when calculating percentiles.

Returns:

DataFrame: Mapping with summary statistics of a Series.

Notes

The median is included by default as the 50% percentile.

Examples

>>> s = pl.Series([1, 2, 3, 4, 5])
>>> s.describe()
shape: (9, 2)
┌────────────┬──────────┐
│ statistic  ┆ value    │
│ ---        ┆ ---      │
│ str        ┆ f64      │
╞════════════╪══════════╡
│ count      ┆ 5.0      │
│ null_count ┆ 0.0      │
│ mean       ┆ 3.0      │
│ std        ┆ 1.581139 │
│ min        ┆ 1.0      │
│ 25%        ┆ 2.0      │
│ 50%        ┆ 3.0      │
│ 75%        ┆ 4.0      │
│ max        ┆ 5.0      │
└────────────┴──────────┘

Non-numeric data types may not have all statistics available.

>>> s = pl.Series(["aa", "aa", None, "bb", "cc"])
>>> s.describe()
shape: (4, 2)
┌────────────┬───────┐
│ statistic  ┆ value │
│ ---        ┆ ---   │
│ str        ┆ str   │
╞════════════╪═══════╡
│ count      ┆ 4     │
│ null_count ┆ 1     │
│ min        ┆ aa    │
│ max        ┆ cc    │
└────────────┴───────┘