Implementation:Eventual Inc Daft DataFrame Describe

Knowledge Sources	Daft Daft Docs
Domains	Data_Engineering, Data_Analysis
Last Updated	2026-02-08 00:00 GMT

Overview

Concrete tool for computing descriptive schema information of a DataFrame provided by the Daft library.

Description

The describe method on a Daft DataFrame returns the schema of the DataFrame as a new DataFrame, providing information about each column. The result is a DataFrame where each row represents a column from the original DataFrame, with columns for the column name and its corresponding data type. This provides a quick way to inspect the structure and types of a dataset.

Usage

Use this method on a DataFrame when you need a quick summary of the DataFrame's schema for data exploration, quality validation, or debugging.

Code Reference

Source Location

• Repository: Daft
• File: daft/dataframe/dataframe.py
• Lines: L2044-2067

Signature

def describe(self) -> "DataFrame"

Import

# Method on DataFrame, no separate import needed
description = df.describe()

I/O Contract

Inputs

Name	Type	Required	Description
self	DataFrame	Yes	The DataFrame to describe (implicit)

Outputs

Name	Type	Description
return	DataFrame	A new DataFrame with columns "column_name" (String) and "type" (String), one row per column in the original DataFrame

Usage Examples

Basic Usage

import daft

df = daft.from_pydict({"a": [1, 2, 3], "b": ["x", "y", "z"]})
df.describe().show()
# Output:
# column_name | type
# a           | Int64
# b           | String

Related Pages

Implements Principle

• Principle:Eventual_Inc_Daft_Descriptive_Statistics

Requires Environment

• Environment:Eventual_Inc_Daft_Python_PyArrow_Core