Implementation:Eventual Inc Daft DataFrame To Pandas

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

Overview

Concrete tool for converting a Daft DataFrame to a pandas DataFrame provided by the Daft library. This is a wrapper doc type for the pandas interoperability method.

Description

The to_pandas method on DataFrame converts the current Daft DataFrame to a pandas DataFrame. It first calls collect() to materialize results if they have not been computed yet, then delegates to the internal result's to_pandas method with the DataFrame's schema and the temporal coercion flag. This is a blocking call that triggers execution of the lazy query plan.

Usage

Call df.to_pandas() on a DataFrame instance. Requires the pandas package to be installed. Use when you need pandas-compatible output.

Code Reference

Source Location

• Repository: Daft
• File: daft/dataframe/dataframe.py
• Lines: L4403-4435

Signature

def to_pandas(self, coerce_temporal_nanoseconds: bool = False) -> pandas.DataFrame

Import

# Method on DataFrame, no separate import needed
# Requires: pandas
pdf = df.to_pandas()

I/O Contract

Inputs

Name	Type	Required	Description
coerce_temporal_nanoseconds	bool	No	Whether to coerce temporal columns to nanoseconds. Only applicable to pandas >= 2.0 and pyarrow >= 13.0.0. Defaults to False.

Outputs

Name	Type	Description
return	pandas.DataFrame	A pandas DataFrame containing the materialized data from the Daft DataFrame.

External Dependencies

• pandas - required for output type

Usage Examples

Basic Usage

import daft

df = daft.from_pydict({"a": [1, 2, 3], "b": [4, 5, 6]})
pd_df = df.to_pandas()
print(pd_df)
#    a  b
# 0  1  4
# 1  2  5
# 2  3  6

With Temporal Coercion

import daft

df = daft.from_pydict({"ts": [1000000, 2000000, 3000000]})
df = df.with_column("ts", df["ts"].cast(daft.DataType.timestamp("us")))
pd_df = df.to_pandas(coerce_temporal_nanoseconds=True)

Related Pages

Implements Principle

• Principle:Eventual_Inc_Daft_Pandas_Export

Requires Environment

• Environment:Eventual_Inc_Daft_Python_PyArrow_Core