amaliujia commented on code in PR #38938:
URL: https://github.com/apache/spark/pull/38938#discussion_r1041691534
##########
python/pyspark/sql/connect/dataframe.py:
##########
@@ -1239,6 +1239,16 @@ def summary(self, *statistics: str) -> "DataFrame":
session=self._session,
)
+ def describe(self, *cols: str) -> "DataFrame":
+ _cols: List[str] = list(cols)
Review Comment:
```suggestion
"""Computes basic statistics for numeric and string columns
.. versionadded:: 3.4.0
This include count, mean, stddev, min, and max. If no columns are
given, this function computes statistics for all numerical or string
columns.
Notes
-----
This function is meant for exploratory data analysis, as we make no
guarantee about the backward compatibility of the schema of the
resulting
:class:`DataFrame`.
Use summary for expanded statistics and control over which
statistics to compute.
Parameters
----------
cols : str, list, optional
Column name or list of column names to describe by (default All
columns).
Returns
-------
:class:`DataFrame`
A new DataFrame that describes (provides statistics) given
DataFrame.
"""
_cols: List[str] = list(cols)
```
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